Очень широкий каталог, оплата «1 юань = 1 доллар кредита»
- Моделей
- 444
- Средняя цена
- ₽2 898/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- Alipay, WeChat
- Биллинг
- за токены
- API
- OpenAI-compatible
Это сторонний посредник с большим числом групп — цена у ключа может сильно отличаться от нижней ставки · Схема «1 юань = 1 доллар кредита» — правило их баланса, не курс ЦБ
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 83.8058 ₽ · 1 CNY = 12.4175 ₽ · 14.08.2026
443 моделей
Текст и чат
оплата за токены · 382
▼
Текст и чат
оплата за токены · 382
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| llama 3.2 1b:free | meta llama | ₽1.17/M | ₽2.35/M | ₽35 |
| qwen 2.5 coder 32b instruct | qwen | ₽3.52/M | ₽8.80/M | ₽114 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.69/M | ₽4.69/M | ₽117 |
| Meta-Llama-3.1-8B-Instruct-Turbo | meta llama | ₽4.69/M | ₽7.04/M | ₽129 |
| Mistral-Nemo-Instruct-2407 | mistralai | ₽4.69/M | ₽9.39/M | ₽141 |
| GPT-5 Nano | gpt 5 nano | ₽2.51/M | ₽20.11/M | ₽151 |
| mistral nemo instruct 2407 | mistral nemo instruct 2407 | ₽4.69/M | ₽14.08/M | ₽164 |
| text embedding 3 small | openai | ₽6.70/M | ₽6.70/M | ₽168 |
| Qwen2.5 Coder 7B | Qwen | ₽5.87/M | ₽11.73/M | ₽176 |
| mistralai · Mistral-7B-Instruct-v0.3 | mistralai | ₽6.57/M | ₽12.68/M | ₽195 |
| qwen3 32b | qwen | ₽5.87/M | ₽16.43/M | ₽199 |
| Llama 3.1 8B | llama 3.1 8b | ₽7.04/M | ₽11.76/M | ₽200 |
| gpt 4.1 nano | openai | ₽5.03/M | ₽20.11/M | ₽201 |
| l3 8b lunaris v1 | l3 8b lunaris v1 | ₽7.04/M | ₽14.08/M | ₽211 |
| Meta Llama 3 8B | meta llama 3 8b | ₽7.04/M | ₽14.08/M | ₽211 |
| Sao10K · L3-8B-Lunaris-v1 | Sao10K | ₽7.04/M | ₽14.08/M | ₽211 |
| mistral 7b instruct v0.3 | mistral 7b instruct v0.3 | ₽6.57/M | ₽19.71/M | ₽230 |
| l3 8b lunaris v1 turbo | l3 8b lunaris v1 turbo | ₽9.39/M | ₽11.73/M | ₽246 |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽9.39/M | ₽11.73/M | ₽246 |
| llama 3.2 11b vision:free | llama 3.2 11b vision instruct | ₽11.50/M | ₽11.50/M | ₽287 |
| glm 4.5 | z ai | ₽11.73/M | ₽11.73/M | ₽293 |
| gemini 3.1 flash lite | ₽6.29/M | ₽37.71/M | ₽314 | |
| Llama Guard 3 8b | meta | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · Mistral-7B-Instruct-v0.1 | mistralai | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · Mistral-7B-Instruct-v0.2 | mistralai | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat · openchat_3.5 | openchat | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat · openchat-3.6-8b | openchat | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat 3.5 | openchat 3.5 | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat 3.6 8b | openchat 3.6 8b | ₽12.91/M | ₽12.91/M | ₽323 |
| Qwen2 7B Instruct | Qwen | ₽12.91/M | ₽12.91/M | ₽323 |
| wizardlm 2 7b | wizardlm 2 7b | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽11.73/M | ₽18.77/M | ₽329 |
| Mythomax L2 13B | Gryphe | ₽11.73/M | ₽21.12/M | ₽340 |
| gemma 3 12b it | ₽11.73/M | ₽23.47/M | ₽352 | |
| mistralai · Mistral-Small-3.1-24B-Instruct-2503 | mistralai | ₽11.73/M | ₽23.47/M | ₽352 |
| Phi 4 multimodal instruct | Phi 4 multimodal instruct | ₽11.73/M | ₽23.47/M | ₽352 |
| gpt oss 20b | openai | ₽9.39/M | ₽35.20/M | ₽364 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽14.67/M | ₽14.67/M | ₽367 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽9.39/M | ₽37.54/M | ₽375 |
| mistral small 24b instruct 2501 | mistral small 24b instruct 2501 | ₽11.73/M | ₽35.20/M | ₽411 |
| mistral small 3.1 24b instruct 2503 | mistral small 3.1 24b instruct 2503 | ₽11.73/M | ₽35.20/M | ₽411 |
| codegemma 7b it | codegemma 7b it | ₽16.43/M | ₽16.43/M | ₽411 |
| gemma 1.1 7b it | ₽16.43/M | ₽16.43/M | ₽411 | |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽16.43/M | ₽16.43/M | ₽411 |
| devstral small 2505 | devstral small 2505 | ₽14.08/M | ₽28.16/M | ₽422 |
| mistralai · Devstral-Small-2505 | mistralai | ₽14.08/M | ₽28.16/M | ₽422 |
| mistral 7b instruct v0.1 | mistral 7b instruct v0.1 | ₽12.91/M | ₽38.72/M | ₽452 |
| mistral 7b instruct v0.2 | mistral 7b instruct v0.2 | ₽12.91/M | ₽38.72/M | ₽452 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.21/M | ₽64.55/M | ₽487 |
| Phi 4 | Microsoft | ₽16.43/M | ₽32.85/M | ₽493 |
| glm 4.5 air | z ai | ₽11.73/M | ₽64.53/M | ₽557 |
| qwen3 14b | qwen | ₽14.08/M | ₽56.32/M | ₽563 |
| KoboldAI · LLaMA2-13B-Tiefighter | KoboldAI | ₽23.47/M | ₽23.47/M | ₽587 |
| llama2 13b tiefighter | llama2 13b tiefighter | ₽23.47/M | ₽23.47/M | ₽587 |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽17.60/M | ₽46.99/M | ₽587 |
| GPT-4o Mini | gpt 4o mini | ₽15.09/M | ₽60.34/M | ₽603 |
| mistral small 3.2 24b instruct 2506 | mistral small 3.2 24b instruct 2506 | ₽17.60/M | ₽52.80/M | ₽616 |
| Gemini 3 Flash | gemini 3 flash | ₽12.57/M | ₽75.43/M | ₽629 |
| gpt 5.4 mini | openai | ₽12.57/M | ₽75.43/M | ₽629 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽16.43/M | ₽60.94/M | ₽633 |
| devstral small 2507 | devstral small 2507 | ₽16.43/M | ₽65.70/M | ₽657 |
| mistralai · Devstral-Small-2507 | mistralai | ₽16.43/M | ₽65.70/M | ₽657 |
| grok 4.1 | grok 4.1 | ₽16.76/M | ₽67.04/M | ₽670 |
| DeepSeek-V3 | deepseek ai | ₽22.29/M | ₽52.16/M | ₽707 |
| Grok 3 Mini | grok 3 mini | ₽25.14/M | ₽41.90/M | ₽712 |
| qwen3 30b a3b | qwen | ₽18.77/M | ₽68.14/M | ₽716 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽18.77/M | ₽70.40/M | ₽727 |
| phi 4 reasoning plus | phi 4 reasoning plus | ₽16.43/M | ₽82.13/M | ₽739 |
| codex auto review | codex auto review | ₽12.57/M | ₽101/M | ₽754 |
| GPT-5 Mini | gpt 5 mini | ₽12.57/M | ₽101/M | ₽754 |
| Austism · chronos-hermes-13b-v2 | Austism | ₽30.51/M | ₽30.51/M | ₽763 |
| chronos hermes 13b v2 | chronos hermes 13b v2 | ₽30.51/M | ₽30.51/M | ₽763 |
| Llama 2 13b chat hf | meta llama | ₽30.51/M | ₽30.51/M | ₽763 |
| mythomax l2 13b turbo | mythomax l2 13b turbo | ₽30.51/M | ₽30.51/M | ₽763 |
| NovaSky AI · Sky-T1-32B-Preview | NovaSky AI | ₽28.16/M | ₽42.24/M | ₽774 |
| Qwq 32b | qwen | ₽28.16/M | ₽42.24/M | ₽774 |
| sky t1 32b preview | sky t1 32b preview | ₽28.16/M | ₽42.24/M | ₽774 |
| gemma 3 27b it | ₽27.92/M | ₽46.91/M | ₽793 | |
| gpt 4.1 mini | openai | ₽20.11/M | ₽80.45/M | ₽805 |
| Phi 3 medium 4k instruct | microsoft | ₽32.85/M | ₽32.85/M | ₽821 |
| Qwen Text Embedding v3 | alibaba | ₽33.52/M | ₽33.52/M | ₽838 |
| Text Embedding ADA | text embedding ada | ₽33.52/M | ₽33.52/M | ₽838 |
| bigcode · starcoder2-15b-instruct-v0.1 | bigcode | ₽35.20/M | ₽35.20/M | ₽880 |
| starcoder2 15b instruct v0.1 | starcoder2 15b instruct v0.1 | ₽35.20/M | ₽35.20/M | ₽880 |
| Llama 3.3 Nemotron Super 49B V1.5 | nvidia | ₽23.47/M | ₽93.86/M | ₽939 |
| Llama-3.3-70B-Instruct-Turbo | meta llama | ₽30.51/M | ₽89.08/M | ₽1 055 |
| llama guard 4 12b | meta llama | ₽42.24/M | ₽42.24/M | ₽1 056 |
| Llama 3.3 70B | llama 3.3 70b | ₽30.51/M | ₽91.52/M | ₽1 068 |
| text embedding 3 large | openai | ₽43.58/M | ₽43.58/M | ₽1 089 |
| qwen3 vl 4b instruct | qwen3 vl 4b instruct | ₽23.47/M | ₽141/M | ₽1 173 |
| Kimi K2 | kimi k2 | ₽29.33/M | ₽117/M | ₽1 173 |
| Meta Llama 3.1 405B Instruct | meta llama | ₽46.93/M | ₽46.93/M | ₽1 173 |
| qwen2.5 vl 72b instruct | qwen | ₽46.93/M | ₽46.93/M | ₽1 173 |
| qwen3 235b a22b thinking 2507 search | qwen3 235b a22b thinking 2507 search | ₽17.60/M | ₽170/M | ₽1 203 |
| cognitivecomputations · dolphin-2.6-mixtral-8x7b | cognitivecomputations | ₽56.32/M | ₽56.32/M | ₽1 408 |
| dolphin 2.6 mixtral 8x7b | dolphin 2.6 mixtral 8x7b | ₽56.32/M | ₽56.32/M | ₽1 408 |
| gpt-oss-120b-Turbo | openai | ₽35.20/M | ₽141/M | ₽1 408 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | meta llama | ₽35.20/M | ₽141/M | ₽1 408 |
| Command R | command r | ₽41.90/M | ₽126/M | ₽1 467 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽36.96/M | ₽148/M | ₽1 478 |
| qwen3 235b a22b | qwen | ₽42.24/M | ₽127/M | ₽1 478 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽63.36/M | ₽63.36/M | ₽1 584 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽63.36/M | ₽63.36/M | ₽1 584 |
| allenai · olmOCR-7B-0825 | allenai | ₽32.85/M | ₽188/M | ₽1 595 |
| olmocr 7b 0825 | olmocr 7b 0825 | ₽32.85/M | ₽188/M | ₽1 595 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽46.93/M | ₽141/M | ₽1 643 |
| qwen3 vl 8b instruct | qwen | ₽42.24/M | ₽162/M | ₽1 654 |
| gpt 5.6 terra | openai | ₽33.52/M | ₽201/M | ₽1 676 |
| Text Moderation | text moderation latest | ₽67.04/M | ₽67.04/M | ₽1 676 |
| Text Moderation Stable | text moderation stable | ₽67.04/M | ₽67.04/M | ₽1 676 |
| deepseek v4 flash | deepseek | ₽58.66/M | ₽117/M | ₽1 760 |
| gpt 5.2 | openai | ₽29.33/M | ₽235/M | ₽1 760 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽29.33/M | ₽235/M | ₽1 760 |
| Hermes 3 70B Instruct | nousresearch | ₽70.40/M | ₽70.40/M | ₽1 760 |
| hermes 3 llama 3.1 70b | hermes 3 llama 3.1 70b | ₽70.40/M | ₽70.40/M | ₽1 760 |
| Qvq 72B Preview | Qwen | ₽58.66/M | ₽117/M | ₽1 760 |
| deepseek ai · DeepSeek-V3.2 | deepseek ai | ₽65.70/M | ₽99.87/M | ₽1 813 |
| Meta Llama 3 70B | meta llama 3 70b | ₽70.40/M | ₽93.63/M | ₽1 876 |
| gemini 3.5 flash | ₽37.71/M | ₽226/M | ₽1 886 | |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.90/M | ₽210/M | ₽1 886 |
| minicpm llama3 v 2_5 | minicpm llama3 v 2_5 | ₽79.78/M | ₽79.78/M | ₽1 995 |
| openbmb · MiniCPM-Llama3-V-2_5 | openbmb | ₽79.78/M | ₽79.78/M | ₽1 995 |
| gpt 5.4 | openai | ₽41.90/M | ₽251/M | ₽2 095 |
| cognitivecomputations · dolphin-2.9.1-llama-3-70b | cognitivecomputations | ₽82.13/M | ₽93.63/M | ₽2 111 |
| dolphin 2.9.1 llama 3 70b | dolphin 2.9.1 llama 3 70b | ₽82.13/M | ₽93.63/M | ₽2 111 |
| lizpreciatior · lzlv_70b_fp16_hf | lizpreciatior | ₽82.13/M | ₽93.63/M | ₽2 111 |
| llama 3.2 90b vision | llama 3.2 90b vision | ₽82.13/M | ₽93.63/M | ₽2 111 |
| lzlv 70b fp16 hf | lzlv 70b fp16 hf | ₽82.13/M | ₽93.63/M | ₽2 111 |
| mattshumer · Reflection-Llama-3.1-70B | mattshumer | ₽82.13/M | ₽93.63/M | ₽2 111 |
| Qwen2 72B Instruct | Qwen | ₽82.13/M | ₽93.63/M | ₽2 111 |
| reflection llama 3.1 70b | reflection llama 3.1 70b | ₽82.13/M | ₽93.63/M | ₽2 111 |
| llama 3 sonar large 32k chat | llama 3 sonar large 32k chat | ₽88.00/M | ₽88.00/M | ₽2 200 |
| llama 3 sonar small 32k chat | llama 3 sonar small 32k chat | ₽88.00/M | ₽88.00/M | ₽2 200 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.71/M | ₽314/M | ₽2 326 |
| DeepSeek V3 | deepseek search | ₽58.66/M | ₽235/M | ₽2 347 |
| deepseek v3 1 250821 | deepseek v3 1 250821 | ₽58.66/M | ₽235/M | ₽2 347 |
| deepseek v3.1 | deepseek v3.1 | ₽58.66/M | ₽235/M | ₽2 347 |
| DeepSeek-V3.1 | deepseek ai | ₽58.66/M | ₽235/M | ₽2 347 |
| llama 3.1 70b | llama 3.1 70b | ₽93.86/M | ₽93.86/M | ₽2 347 |
| Meta-Llama-3.1-70B-Instruct-Turbo | meta llama | ₽93.86/M | ₽93.86/M | ₽2 347 |
| minimaxai · minimax-m2 | minimaxai | ₽59.84/M | ₽239/M | ₽2 393 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽50.28/M | ₽302/M | ₽2 514 |
| gemini 3.1 pro high | gemini 3.1 pro high | ₽50.28/M | ₽302/M | ₽2 514 |
| Qwen Turbo | qwen turbo | ₽101/M | ₽101/M | ₽2 514 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽68.05/M | ₽282/M | ₽2 770 |
| grok 4.5 | x ai | ₽83.81/M | ₽251/M | ₽2 933 |
| grok 4.6 | grok 4.6 | ₽83.81/M | ₽251/M | ₽2 933 |
| Llama 4 Maverick 17B 128E Instruct Turbo | meta llama | ₽117/M | ₽117/M | ₽2 933 |
| O3 Mini | o3 mini | ₽75.43/M | ₽302/M | ₽3 017 |
| allenai · olmOCR-7B-0725-FP8 | allenai | ₽63.36/M | ₽352/M | ₽3 028 |
| olmocr 7b 0725 fp8 | olmocr 7b 0725 fp8 | ₽63.36/M | ₽352/M | ₽3 028 |
| mistralai · Mixtral-8x7B-Instruct-v0.1 | mistralai | ₽127/M | ₽127/M | ₽3 168 |
| mixtral 8x7b instruct v0.1 | mixtral 8x7b instruct v0.1 | ₽127/M | ₽127/M | ₽3 168 |
| Command | command | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Light | command light | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Light Nightly | command light nightly | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Nightly | command nightly | ₽83.81/M | ₽335/M | ₽3 352 |
| Text Ada 001 | text ada 001 | ₽134/M | ₽134/M | ₽3 352 |
| deepseek ai · DeepSeek-R1-Distill-Llama-70B | deepseek ai | ₽117/M | ₽235/M | ₽3 520 |
| deepseek r1 distill llama 70b | deepseek | ₽117/M | ₽235/M | ₽3 520 |
| deepseek v3.2 | deepseek | ₽117/M | ₽235/M | ₽3 520 |
| Llama 3.1 Nemotron 70B Instruct | nvidia | ₽141/M | ₽141/M | ₽3 520 |
| Phind · Phind-CodeLlama-34B-v2 | Phind | ₽141/M | ₽141/M | ₽3 520 |
| phind codellama 34b v2 | phind codellama 34b v2 | ₽141/M | ₽141/M | ₽3 520 |
| WizardLM-2 8x22B | microsoft | ₽145/M | ₽145/M | ₽3 637 |
| gpt 5 chat | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5 codex high | gpt 5 codex high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5 high | gpt 5 high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 chat | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex max | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 high | gpt 5.1 high | ₽62.85/M | ₽503/M | ₽3 771 |
| GPT-5 | gpt 5 | ₽62.85/M | ₽503/M | ₽3 771 |
| agnes 2.0 flash | agnes 2.0 flash | ₽83.81/M | ₽419/M | ₽3 771 |
| mistralai · Mixtral-8x22B-Instruct-v0.1 | mistralai | ₽153/M | ₽153/M | ₽3 813 |
| mixtral 8x22b instruct v0.1 | mixtral 8x22b instruct v0.1 | ₽153/M | ₽153/M | ₽3 813 |
| l3.1 70b euryale v2.2 | l3.1 70b euryale v2.2 | ₽153/M | ₽175/M | ₽3 928 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽153/M | ₽175/M | ₽3 928 |
| l3.3 70b euryale v2.3 | l3.3 70b euryale v2.3 | ₽153/M | ₽175/M | ₽3 928 |
| Sao10K · L3.3-70B-Euryale-v2.3 | Sao10K | ₽153/M | ₽175/M | ₽3 928 |
| Llama 2 70b chat hf | meta llama | ₽150/M | ₽188/M | ₽3 942 |
| gpt 4.1 | openai | ₽101/M | ₽402/M | ₽4 023 |
| O3 | o3 | ₽101/M | ₽402/M | ₽4 023 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽58.66/M | ₽587/M | ₽4 106 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽58.66/M | ₽587/M | ₽4 106 |
| mistral large latest | mistral large latest | ₽117/M | ₽352/M | ₽4 106 |
| Mistral Small | mistral small | ₽117/M | ₽352/M | ₽4 106 |
| gpt 5.5 | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 | gpt 5.6 | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 sol | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| Grok 4 | grok 4 | ₽168/M | ₽168/M | ₽4 190 |
| Text Babbage 001 | text babbage 001 | ₽168/M | ₽168/M | ₽4 190 |
| l3 70b euryale v2.1 | l3 70b euryale v2.1 | ₽164/M | ₽187/M | ₽4 221 |
| Sao10K · L3-70B-Euryale-v2.1 | Sao10K | ₽164/M | ₽187/M | ₽4 221 |
| Claude 3 Haiku | Anthropic | ₽94.28/M | ₽471/M | ₽4 243 |
| gpt oss 120b | openai | ₽70.40/M | ₽586/M | ₽4 340 |
| airoboros 70b | airoboros 70b | ₽164/M | ₽212/M | ₽4 345 |
| deepinfra · airoboros-70b | deepinfra | ₽164/M | ₽212/M | ₽4 345 |
| minimax m2.1 | minimax | ₽111/M | ₽444/M | ₽4 435 |
| qwen3.6 plus | qwen | ₽93.86/M | ₽563/M | ₽4 693 |
| Qwen3 235B A22B Instruct | alibaba | ₽117/M | ₽469/M | ₽4 693 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽117/M | ₽469/M | ₽4 693 |
| deepseek prover v2 671b | deepseek prover v2 671b | ₽117/M | ₽512/M | ₽4 904 |
| DeepSeek Prover V2 671B | deepseek ai | ₽117/M | ₽512/M | ₽4 904 |
| minimax m2.5 | minimax | ₽123/M | ₽493/M | ₽4 928 |
| gpt 3.5 turbo | openai | ₽168/M | ₽335/M | ₽5 028 |
| GPT 5.2 High | gpt 5.2 high | ₽88.00/M | ₽704/M | ₽5 280 |
| gpt 5.3 codex | openai | ₽88.00/M | ₽704/M | ₽5 280 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽132/M | ₽528/M | ₽5 280 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽126/M | ₽629/M | ₽5 657 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽126/M | ₽629/M | ₽5 657 |
| claude sonnet 5 | anthropic | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.3 | x ai | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.5 high | grok 4.5 high | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.5 low | grok 4.5 low | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.5 medium | grok 4.5 medium | ₽168/M | ₽503/M | ₽5 866 |
| Hermes 3 405B Instruct | nousresearch | ₽235/M | ₽235/M | ₽5 866 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽235/M | ₽235/M | ₽5 866 |
| O1 Mini | o1 mini | ₽151/M | ₽603/M | ₽6 034 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽164/M | ₽563/M | ₽6 101 |
| deepseek r1 turbo | deepseek r1 turbo | ₽164/M | ₽586/M | ₽6 217 |
| Claude Sonnet 4 | claude sonnet 4 | ₽251/M | ₽251/M | ₽6 285 |
| GPT 5.4 High | gpt 5.4 high | ₽126/M | ₽754/M | ₽6 285 |
| Claude Opus 4.7 | claude opus 4 7 | ₽147/M | ₽733/M | ₽6 600 |
| glm 4.6 | z ai | ₽176/M | ₽704/M | ₽7 040 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽251/M | ₽629/M | ₽8 171 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽251/M | ₽629/M | ₽8 171 |
| deepseek ai · DeepSeek-R1-Turbo | deepseek ai | ₽235/M | ₽704/M | ₽8 213 |
| deepseek ai · DeepSeek-V3-0324-Turbo | deepseek ai | ₽235/M | ₽704/M | ₽8 213 |
| DeepSeek V3 (Turbo) | deepseek | ₽235/M | ₽704/M | ₽8 213 |
| GPT-4o | gpt 4o | ₽210/M | ₽838/M | ₽8 381 |
| glm 4.7 | z ai | ₽211/M | ₽845/M | ₽8 448 |
| gemini 3.6 flash | ₽189/M | ₽943/M | ₽8 485 | |
| qwen3.5 397b a17b | qwen | ₽176/M | ₽1 056/M | ₽8 800 |
| DeepSeek R1 | deepseek r1 | ₽235/M | ₽838/M | ₽8 882 |
| Claude Opus 4.5 | claude opus 4 5 | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.6 | claude opus 4 6 | ₽210/M | ₽1 048/M | ₽9 428 |
| claude opus 4.8 | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| claude opus 5 | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽157/M | ₽1 257/M | ₽9 428 |
| Command R Plus | command r plus | ₽251/M | ₽1 006/M | ₽10 057 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽335/M | ₽670/M | ₽10 057 |
| Kimi K2.5 | kimi k2.5 | ₽235/M | ₽1 232/M | ₽10 853 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 4 reasoning | grok 4 reasoning | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 4.2 | grok 4.2 | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 420 fast | grok 420 fast | ₽251/M | ₽1 257/M | ₽11 314 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽251/M | ₽1 257/M | ₽11 314 |
| Gemini 3 Pro | gemini 3 pro | ₽251/M | ₽1 509/M | ₽12 571 |
| gpt 5.5 high | gpt 5.5 high | ₽251/M | ₽1 509/M | ₽12 571 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽251/M | ₽1 509/M | ₽12 571 |
| GLM-5 | glm 5 | ₽352/M | ₽1 291/M | ₽13 493 |
| glm 5.1 | z ai | ₽352/M | ₽1 408/M | ₽14 079 |
| O4 Mini | o4 mini | ₽369/M | ₽1 475/M | ₽14 750 |
| gpt 4 | openai | ₽503/M | ₽1 006/M | ₽15 085 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽503/M | ₽1 006/M | ₽15 085 |
| gpt 4 vision | gpt 4 vision | ₽503/M | ₽1 006/M | ₽15 085 |
| Grok 3 | grok 3 | ₽335/M | ₽1 676/M | ₽15 085 |
| kimi k2.7 code | moonshotai | ₽381/M | ₽1 584/M | ₽15 546 |
| kimi k2.6 | moonshotai | ₽384/M | ₽1 584/M | ₽15 605 |
| Text Curie 001 | text curie 001 | ₽670/M | ₽670/M | ₽16 761 |
| glm 5.2 | z ai | ₽469/M | ₽1 643/M | ₽17 599 |
| gpt 4 turbo | openai | ₽503/M | ₽1 509/M | ₽17 599 |
| claude fable 5 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| GLM 4 | glm 4 | ₽838/M | ₽838/M | ₽20 952 |
| deepseek v4 pro | deepseek | ₽704/M | ₽1 408/M | ₽21 119 |
| Nemotron 4 340B Instruct | nvidia | ₽986/M | ₽986/M | ₽24 639 |
| gpt image 1.5 | openai | ₽503/M | ₽3 218/M | ₽26 147 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽469/M | ₽3 403/M | ₽26 399 |
| Qwen Plus | qwen plus | ₽1 173/M | ₽1 173/M | ₽29 332 |
| Claude 3.5 Haiku | Anthropic | ₽670/M | ₽3 352/M | ₽30 170 |
| gpt 3.5 turbo 16k | openai | ₽1 006/M | ₽2 011/M | ₽30 170 |
| O1 | o1 | ₽754/M | ₽3 017/M | ₽30 170 |
| deepseek v3.1 terminus | deepseek | ₽939/M | ₽3 754/M | ₽37 545 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽838/M | ₽5 028/M | ₽41 903 |
| gpt 5 pro | openai | ₽754/M | ₽6 034/M | ₽45 255 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽1 131/M | ₽5 657/M | ₽50 912 |
| kimi k3 | moonshotai | ₽1 173/M | ₽5 866/M | ₽52 798 |
| alibaba qwen3 32b | alibaba qwen3 32b | ₽1 408/M | ₽5 632/M | ₽56 317 |
| Claude 3 Opus | claude 3 opus | ₽1 257/M | ₽6 285/M | ₽56 569 |
| Claude Opus 4 | claude opus 4 | ₽1 257/M | ₽6 285/M | ₽56 569 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽1 257/M | ₽7 543/M | ₽62 854 |
| gpt 5.4 pro | openai | ₽1 509/M | ₽9 051/M | ₽75 425 |
| gemini 3 pro image | ₽251/M | ₽15 085/M | ₽80 454 | |
| claude jupiter v1 p | claude jupiter v1 p | ₽1 886/M | ₽9 428/M | ₽84 853 |
| DALL E 3 | DALL E 3 | ₽4 023/M | ₽4 023/M | ₽100 567 |
| code llama 34b | code llama 34b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| deepseek ocr | deepseek ocr | ₽4 400/M | ₽4 400/M | ₽109 995 |
| deepseek r1 searching | deepseek r1 searching | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Dolphin3.0 R1 Mistral 24B | Dolphin3.0 R1 Mistral 24B | ₽4 400/M | ₽4 400/M | ₽109 995 |
| glm 4 airx | glm 4 airx | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4 Flash | glm 4 flash | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4 Long | GLM 4 Long | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4.5 X | glm 4.5 x | ₽4 400/M | ₽4 400/M | ₽109 995 |
| kimi k2 250905 | kimi k2 250905 | ₽4 400/M | ₽4 400/M | ₽109 995 |
| kimi k2 250905 ci | kimi k2 250905 ci | ₽4 400/M | ₽4 400/M | ₽109 995 |
| llama 2 13b | llama 2 13b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| llama 2 70b | llama 2 70b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 3.1 405B | Llama 3.1 405B | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 4 Maverick | llama 4 maverick | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 4 Scout | llama 4 scout | ₽4 400/M | ₽4 400/M | ₽109 995 |
| minimax m3 | minimax | ₽4 400/M | ₽4 400/M | ₽109 995 |
| pixtral large 2411 | pixtral large 2411 | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen 2.5 72b instruct | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen 3.5 plus | qwen 3.5 plus | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen 3.8 Max | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen Max | qwen max | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen Qwq 32B | qwen qwq 32b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen-VL Max | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen1.5 110B Chat | Qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 8b | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 coder 480b | qwen3 coder 480b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 coder plus | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen3-VL Plus | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwq 72b preview | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GPT Chat | gpt chat latest | ₽3 771/M | ₽7 543/M | ₽113 138 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽4 651/M | ₽4 651/M | ₽116 281 |
| tts 1 | openai | ₽5 028/M | ₽5 028/M | ₽125 709 |
| Tts 1 1106 | tts 1 1106 | ₽5 028/M | ₽5 028/M | ₽125 709 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽5 783/M | ₽5 783/M | ₽144 565 |
| o3 pro | openai | ₽3 771/M | ₽15 085/M | ₽150 850 |
| Mistral Large 2407 | Mistral large 2407 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| mistral large 2411 | mistral large 2411 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| mistral small 2407 | mistral small 2407 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| grok 4.20 | x ai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| mixtral 8x7b 32768 | mixtral 8x7b 32768 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash landscape | omni_flash landscape | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash landscape hd | omni_flash landscape hd | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash portrait | omni_flash portrait | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash portrait hd | omni_flash portrait hd | ₽6 285/M | ₽6 285/M | ₽157 136 |
| pi ai | pi ai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| sambanova llama31 405b | sambanova llama31 405b | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽6 285/M | ₽7 857/M | ₽164 993 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽6 704/M | ₽6 704/M | ₽167 612 |
| Llama3 70B 8192 | llama3 70b 8192 | ₽6 285/M | ₽8 416/M | ₽167 789 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 codex mini | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 codex xhigh | gpt 5.1 codex xhigh | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 medium | gpt 5.1 medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 chat | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex high | gpt 5.2 codex high | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex medium | gpt 5.2 codex medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex xhigh | gpt 5.2 codex xhigh | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 medium | gpt 5.2 medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.3 chat | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 5.4 nano | openai | ₽3 771/M | ₽23 570/M | ₽193 277 |
| gpt 5 codex medium | gpt 5 codex medium | ₽3 771/M | ₽30 170/M | ₽226 276 |
| gpt 5 codex mini | gpt 5 codex mini | ₽3 771/M | ₽30 170/M | ₽226 276 |
| gpt 5 medium | gpt 5 medium | ₽3 771/M | ₽30 170/M | ₽226 276 |
| tts 1 hd | openai | ₽10 057/M | ₽10 057/M | ₽251 417 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽10 057/M | ₽10 057/M | ₽251 417 |
| whisper 1 | openai | ₽10 057/M | ₽10 057/M | ₽251 417 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽7 543/M | ₽30 170/M | ₽301 701 |
| Seedance 2.0 | bytedance | ₽12 571/M | ₽12 571/M | ₽314 272 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽9 428/M | ₽37 713/M | ₽377 126 |
| gemini 3.1 flash image | ₽9 428/M | ₽37 713/M | ₽377 126 | |
| gpt 5.2 pro | openai | ₽7 040/M | ₽56 317/M | ₽422 381 |
| deepseek ai · deepseek-v3.1-terminus | deepseek ai | ₽17 599/M | ₽17 599/M | ₽439 980 |
| gemma 2 27b it | ₽17 599/M | ₽17 599/M | ₽439 980 | |
| gemma 2 9b it | gemma 2 9b it | ₽17 599/M | ₽17 599/M | ₽439 980 |
| Gemma 3 4B It | gemma 3 4b it | ₽17 599/M | ₽17 599/M | ₽439 980 |
| llama3 8b instruct | llama3 8b instruct | ₽17 599/M | ₽17 599/M | ₽439 980 |
| llama3.3 70b instruct | llama3.3 70b instruct | ₽17 599/M | ₽17 599/M | ₽439 980 |
| mistralai · mistral-nemotron | mistralai | ₽17 599/M | ₽17 599/M | ₽439 980 |
| GPT 4 32K | gpt 4 32k | ₽20 113/M | ₽40 227/M | ₽603 402 |
| gemini 3.5 flash lite | ₽18 856/M | ₽75 425/M | ₽754 252 | |
| o1 pro | openai | ₽25 142/M | ₽100 567/M | ₽1 005 670 |
Изображения
за изображение · 23
▼
Изображения
за изображение · 23
| Модель | Maker | Цена |
|---|---|---|
| Seedream-4 | ByteDance | ₽1.68/изобр. |
| gpt image 2 | gpt image 2 | ₽2.51/изобр. |
| gpt image 1 | openai | ₽3.35/изобр. |
| Grok Imagine | x ai | ₽3.35/изобр. |
| grok imagine image quality | grok imagine image quality | ₽3.35/изобр. |
| seedream 4 hd | seedream 4 hd | ₽3.35/изобр. |
| Flux | flux | ₽4.19/изобр. |
| Z-Image Turbo | alibaba | ₽4.19/изобр. |
| Qwen Image Max | alibaba | ₽4.69/изобр. |
| Qwen Image Plus | alibaba | ₽4.69/изобр. |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽6.29/изобр. |
| gpt 4o image | gpt 4o image | ₽6.70/изобр. |
| Qwen Image Edit | alibaba | ₽6.70/изобр. |
| gemini 2.5 flash image | ₽6.79/изобр. | |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽8.17/изобр. |
| grok 4 image | grok 4 image | ₽8.38/изобр. |
| Qwen Image 2.0 | alibaba | ₽8.38/изобр. |
| seedream 5.0 | seedream 5.0 | ₽8.38/изобр. |
| flux kontext pro | flux kontext pro | ₽12.57/изобр. |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽16.76/изобр. |
| doubao seedream 5 0 | doubao seedream 5 0 | ₽16.76/изобр. |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽20.95/изобр. |
| Flux Kontext Max | flux kontext max | ₽23.47/изобр. |
За запрос
фиксированная цена за вызов · 38
▼
За запрос
фиксированная цена за вызов · 38
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Max | qwen3 max | ₽1.76/вызов |
| Qwen3-Omni Flash | alibaba | ₽2.51/вызов |
| riverflow-v2.5-pro | sourceful | ₽2.51/вызов |
| gpt 5 codex | openai | ₽4.02/вызов |
| Grok Imagine Video | x ai | ₽16.76/вызов |
| grok-imagine-video-1.5 | grok imagine video 1 5 | ₽16.76/вызов |
| jimeng video 3.0 | jimeng video 3.0 | ₽20.95/вызов |
| jimeng video 3.0 10s | jimeng video 3.0 10s | ₽20.95/вызов |
| jimeng video 3.0 pro | jimeng video 3.0 pro | ₽20.95/вызов |
| jimeng video 3.0 pro 10s | jimeng video 3.0 pro 10s | ₽20.95/вызов |
| Sora 2 | Sora 2 | ₽23.05/вызов |
| Veo 3.1 Text to Video | veo3.1 | ₽33.52/вызов |
| veo3.1 fast fl | veo3.1 fast fl | ₽33.52/вызов |
| veo3.1 fl | veo3.1 fl | ₽33.52/вызов |
| veo3.1 landscape | veo3.1 landscape | ₽33.52/вызов |
| veo3.1 landscape fl | veo3.1 landscape fl | ₽33.52/вызов |
| veo3.1 portrait | veo3.1 portrait | ₽33.52/вызов |
| veo3.1 portrait fl | veo3.1 portrait fl | ₽33.52/вызов |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽40.23/вызов |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽40.23/вызов |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽40.23/вызов |
| grok imagine 0.9 | grok imagine 0.9 | ₽41.90/вызов |
| grok imagine 1.0 | grok imagine 1.0 | ₽41.90/вызов |
| grok imagine 1.0 video | grok imagine 1.0 video | ₽41.90/вызов |
| jimeng video 3.5 pro | jimeng video 3.5 pro | ₽41.90/вызов |
| jimeng video 3.5 pro 10s | jimeng video 3.5 pro 10s | ₽67.04/вызов |
| jimeng video 3.5 pro 12s | jimeng video 3.5 pro 12s | ₽75.43/вызов |
| veo3.1 landscape 4k | veo3.1 landscape 4k | ₽83.81/вызов |
| veo3.1 landscape fl 4k | veo3.1 landscape fl 4k | ₽83.81/вызов |
| veo3.1 landscape fl hd | veo3.1 landscape fl hd | ₽83.81/вызов |
| veo3.1 landscape hd | veo3.1 landscape hd | ₽83.81/вызов |
| veo3.1 portrait 4k | veo3.1 portrait 4k | ₽83.81/вызов |
| veo3.1 portrait fl 4k | veo3.1 portrait fl 4k | ₽83.81/вызов |
| veo3.1 portrait fl hd | veo3.1 portrait fl hd | ₽83.81/вызов |
| veo3.1 portrait hd | veo3.1 portrait hd | ₽83.81/вызов |
| Sora 2 Pro | sora 2 pro | ₽335/вызов |
| dance2 fast 15s | dance2 fast 15s | ₽419/вызов |
| veo3.1 pro | veo3.1 pro | ₽587/вызов |
Текст и чат
оплата за токены · 382
▼
Текст и чат
оплата за токены · 382
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| llama 3.2 1b:free | meta llama | ₽1.17/M | ₽2.35/M | ₽35 |
| qwen 2.5 coder 32b instruct | qwen | ₽3.52/M | ₽8.80/M | ₽114 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.69/M | ₽4.69/M | ₽117 |
| Meta-Llama-3.1-8B-Instruct-Turbo | meta llama | ₽4.69/M | ₽7.04/M | ₽129 |
| Mistral-Nemo-Instruct-2407 | mistralai | ₽4.69/M | ₽9.39/M | ₽141 |
| GPT-5 Nano | gpt 5 nano | ₽2.51/M | ₽20.11/M | ₽151 |
| mistral nemo instruct 2407 | mistral nemo instruct 2407 | ₽4.69/M | ₽14.08/M | ₽164 |
| text embedding 3 small | openai | ₽6.70/M | ₽6.70/M | ₽168 |
| Qwen2.5 Coder 7B | Qwen | ₽5.87/M | ₽11.73/M | ₽176 |
| mistralai · Mistral-7B-Instruct-v0.3 | mistralai | ₽6.57/M | ₽12.68/M | ₽195 |
| qwen3 32b | qwen | ₽5.87/M | ₽16.43/M | ₽199 |
| Llama 3.1 8B | llama 3.1 8b | ₽7.04/M | ₽11.76/M | ₽200 |
| gpt 4.1 nano | openai | ₽5.03/M | ₽20.11/M | ₽201 |
| l3 8b lunaris v1 | l3 8b lunaris v1 | ₽7.04/M | ₽14.08/M | ₽211 |
| Meta Llama 3 8B | meta llama 3 8b | ₽7.04/M | ₽14.08/M | ₽211 |
| Sao10K · L3-8B-Lunaris-v1 | Sao10K | ₽7.04/M | ₽14.08/M | ₽211 |
| mistral 7b instruct v0.3 | mistral 7b instruct v0.3 | ₽6.57/M | ₽19.71/M | ₽230 |
| l3 8b lunaris v1 turbo | l3 8b lunaris v1 turbo | ₽9.39/M | ₽11.73/M | ₽246 |
| L3-8B-Lunaris-v1-Turbo | Sao10K | ₽9.39/M | ₽11.73/M | ₽246 |
| llama 3.2 11b vision:free | llama 3.2 11b vision instruct | ₽11.50/M | ₽11.50/M | ₽287 |
| glm 4.5 | z ai | ₽11.73/M | ₽11.73/M | ₽293 |
| gemini 3.1 flash lite | ₽6.29/M | ₽37.71/M | ₽314 | |
| Llama Guard 3 8b | meta | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · Mistral-7B-Instruct-v0.1 | mistralai | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · Mistral-7B-Instruct-v0.2 | mistralai | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat · openchat_3.5 | openchat | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat · openchat-3.6-8b | openchat | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat 3.5 | openchat 3.5 | ₽12.91/M | ₽12.91/M | ₽323 |
| openchat 3.6 8b | openchat 3.6 8b | ₽12.91/M | ₽12.91/M | ₽323 |
| Qwen2 7B Instruct | Qwen | ₽12.91/M | ₽12.91/M | ₽323 |
| wizardlm 2 7b | wizardlm 2 7b | ₽12.91/M | ₽12.91/M | ₽323 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽11.73/M | ₽18.77/M | ₽329 |
| Mythomax L2 13B | Gryphe | ₽11.73/M | ₽21.12/M | ₽340 |
| gemma 3 12b it | ₽11.73/M | ₽23.47/M | ₽352 | |
| mistralai · Mistral-Small-3.1-24B-Instruct-2503 | mistralai | ₽11.73/M | ₽23.47/M | ₽352 |
| Phi 4 multimodal instruct | Phi 4 multimodal instruct | ₽11.73/M | ₽23.47/M | ₽352 |
| gpt oss 20b | openai | ₽9.39/M | ₽35.20/M | ₽364 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽14.67/M | ₽14.67/M | ₽367 |
| Nvidia Nemotron Nano 9B V2 | nvidia nemotron nano 9b v2 | ₽9.39/M | ₽37.54/M | ₽375 |
| mistral small 24b instruct 2501 | mistral small 24b instruct 2501 | ₽11.73/M | ₽35.20/M | ₽411 |
| mistral small 3.1 24b instruct 2503 | mistral small 3.1 24b instruct 2503 | ₽11.73/M | ₽35.20/M | ₽411 |
| codegemma 7b it | codegemma 7b it | ₽16.43/M | ₽16.43/M | ₽411 |
| gemma 1.1 7b it | ₽16.43/M | ₽16.43/M | ₽411 | |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽16.43/M | ₽16.43/M | ₽411 |
| devstral small 2505 | devstral small 2505 | ₽14.08/M | ₽28.16/M | ₽422 |
| mistralai · Devstral-Small-2505 | mistralai | ₽14.08/M | ₽28.16/M | ₽422 |
| mistral 7b instruct v0.1 | mistral 7b instruct v0.1 | ₽12.91/M | ₽38.72/M | ₽452 |
| mistral 7b instruct v0.2 | mistral 7b instruct v0.2 | ₽12.91/M | ₽38.72/M | ₽452 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.21/M | ₽64.55/M | ₽487 |
| Phi 4 | Microsoft | ₽16.43/M | ₽32.85/M | ₽493 |
| glm 4.5 air | z ai | ₽11.73/M | ₽64.53/M | ₽557 |
| qwen3 14b | qwen | ₽14.08/M | ₽56.32/M | ₽563 |
| KoboldAI · LLaMA2-13B-Tiefighter | KoboldAI | ₽23.47/M | ₽23.47/M | ₽587 |
| llama2 13b tiefighter | llama2 13b tiefighter | ₽23.47/M | ₽23.47/M | ₽587 |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽17.60/M | ₽46.99/M | ₽587 |
| GPT-4o Mini | gpt 4o mini | ₽15.09/M | ₽60.34/M | ₽603 |
| mistral small 3.2 24b instruct 2506 | mistral small 3.2 24b instruct 2506 | ₽17.60/M | ₽52.80/M | ₽616 |
| Gemini 3 Flash | gemini 3 flash | ₽12.57/M | ₽75.43/M | ₽629 |
| gpt 5.4 mini | openai | ₽12.57/M | ₽75.43/M | ₽629 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽16.43/M | ₽60.94/M | ₽633 |
| devstral small 2507 | devstral small 2507 | ₽16.43/M | ₽65.70/M | ₽657 |
| mistralai · Devstral-Small-2507 | mistralai | ₽16.43/M | ₽65.70/M | ₽657 |
| grok 4.1 | grok 4.1 | ₽16.76/M | ₽67.04/M | ₽670 |
| DeepSeek-V3 | deepseek ai | ₽22.29/M | ₽52.16/M | ₽707 |
| Grok 3 Mini | grok 3 mini | ₽25.14/M | ₽41.90/M | ₽712 |
| qwen3 30b a3b | qwen | ₽18.77/M | ₽68.14/M | ₽716 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽18.77/M | ₽70.40/M | ₽727 |
| phi 4 reasoning plus | phi 4 reasoning plus | ₽16.43/M | ₽82.13/M | ₽739 |
| codex auto review | codex auto review | ₽12.57/M | ₽101/M | ₽754 |
| GPT-5 Mini | gpt 5 mini | ₽12.57/M | ₽101/M | ₽754 |
| Austism · chronos-hermes-13b-v2 | Austism | ₽30.51/M | ₽30.51/M | ₽763 |
| chronos hermes 13b v2 | chronos hermes 13b v2 | ₽30.51/M | ₽30.51/M | ₽763 |
| Llama 2 13b chat hf | meta llama | ₽30.51/M | ₽30.51/M | ₽763 |
| mythomax l2 13b turbo | mythomax l2 13b turbo | ₽30.51/M | ₽30.51/M | ₽763 |
| NovaSky AI · Sky-T1-32B-Preview | NovaSky AI | ₽28.16/M | ₽42.24/M | ₽774 |
| Qwq 32b | qwen | ₽28.16/M | ₽42.24/M | ₽774 |
| sky t1 32b preview | sky t1 32b preview | ₽28.16/M | ₽42.24/M | ₽774 |
| gemma 3 27b it | ₽27.92/M | ₽46.91/M | ₽793 | |
| gpt 4.1 mini | openai | ₽20.11/M | ₽80.45/M | ₽805 |
| Phi 3 medium 4k instruct | microsoft | ₽32.85/M | ₽32.85/M | ₽821 |
| Qwen Text Embedding v3 | alibaba | ₽33.52/M | ₽33.52/M | ₽838 |
| Text Embedding ADA | text embedding ada | ₽33.52/M | ₽33.52/M | ₽838 |
| bigcode · starcoder2-15b-instruct-v0.1 | bigcode | ₽35.20/M | ₽35.20/M | ₽880 |
| starcoder2 15b instruct v0.1 | starcoder2 15b instruct v0.1 | ₽35.20/M | ₽35.20/M | ₽880 |
| Llama 3.3 Nemotron Super 49B V1.5 | nvidia | ₽23.47/M | ₽93.86/M | ₽939 |
| Llama-3.3-70B-Instruct-Turbo | meta llama | ₽30.51/M | ₽89.08/M | ₽1 055 |
| llama guard 4 12b | meta llama | ₽42.24/M | ₽42.24/M | ₽1 056 |
| Llama 3.3 70B | llama 3.3 70b | ₽30.51/M | ₽91.52/M | ₽1 068 |
| text embedding 3 large | openai | ₽43.58/M | ₽43.58/M | ₽1 089 |
| qwen3 vl 4b instruct | qwen3 vl 4b instruct | ₽23.47/M | ₽141/M | ₽1 173 |
| Kimi K2 | kimi k2 | ₽29.33/M | ₽117/M | ₽1 173 |
| Meta Llama 3.1 405B Instruct | meta llama | ₽46.93/M | ₽46.93/M | ₽1 173 |
| qwen2.5 vl 72b instruct | qwen | ₽46.93/M | ₽46.93/M | ₽1 173 |
| qwen3 235b a22b thinking 2507 search | qwen3 235b a22b thinking 2507 search | ₽17.60/M | ₽170/M | ₽1 203 |
| cognitivecomputations · dolphin-2.6-mixtral-8x7b | cognitivecomputations | ₽56.32/M | ₽56.32/M | ₽1 408 |
| dolphin 2.6 mixtral 8x7b | dolphin 2.6 mixtral 8x7b | ₽56.32/M | ₽56.32/M | ₽1 408 |
| gpt-oss-120b-Turbo | openai | ₽35.20/M | ₽141/M | ₽1 408 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | meta llama | ₽35.20/M | ₽141/M | ₽1 408 |
| Command R | command r | ₽41.90/M | ₽126/M | ₽1 467 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽36.96/M | ₽148/M | ₽1 478 |
| qwen3 235b a22b | qwen | ₽42.24/M | ₽127/M | ₽1 478 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽63.36/M | ₽63.36/M | ₽1 584 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽63.36/M | ₽63.36/M | ₽1 584 |
| allenai · olmOCR-7B-0825 | allenai | ₽32.85/M | ₽188/M | ₽1 595 |
| olmocr 7b 0825 | olmocr 7b 0825 | ₽32.85/M | ₽188/M | ₽1 595 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽46.93/M | ₽141/M | ₽1 643 |
| qwen3 vl 8b instruct | qwen | ₽42.24/M | ₽162/M | ₽1 654 |
| gpt 5.6 terra | openai | ₽33.52/M | ₽201/M | ₽1 676 |
| Text Moderation | text moderation latest | ₽67.04/M | ₽67.04/M | ₽1 676 |
| Text Moderation Stable | text moderation stable | ₽67.04/M | ₽67.04/M | ₽1 676 |
| deepseek v4 flash | deepseek | ₽58.66/M | ₽117/M | ₽1 760 |
| gpt 5.2 | openai | ₽29.33/M | ₽235/M | ₽1 760 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽29.33/M | ₽235/M | ₽1 760 |
| Hermes 3 70B Instruct | nousresearch | ₽70.40/M | ₽70.40/M | ₽1 760 |
| hermes 3 llama 3.1 70b | hermes 3 llama 3.1 70b | ₽70.40/M | ₽70.40/M | ₽1 760 |
| Qvq 72B Preview | Qwen | ₽58.66/M | ₽117/M | ₽1 760 |
| deepseek ai · DeepSeek-V3.2 | deepseek ai | ₽65.70/M | ₽99.87/M | ₽1 813 |
| Meta Llama 3 70B | meta llama 3 70b | ₽70.40/M | ₽93.63/M | ₽1 876 |
| gemini 3.5 flash | ₽37.71/M | ₽226/M | ₽1 886 | |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.90/M | ₽210/M | ₽1 886 |
| minicpm llama3 v 2_5 | minicpm llama3 v 2_5 | ₽79.78/M | ₽79.78/M | ₽1 995 |
| openbmb · MiniCPM-Llama3-V-2_5 | openbmb | ₽79.78/M | ₽79.78/M | ₽1 995 |
| gpt 5.4 | openai | ₽41.90/M | ₽251/M | ₽2 095 |
| cognitivecomputations · dolphin-2.9.1-llama-3-70b | cognitivecomputations | ₽82.13/M | ₽93.63/M | ₽2 111 |
| dolphin 2.9.1 llama 3 70b | dolphin 2.9.1 llama 3 70b | ₽82.13/M | ₽93.63/M | ₽2 111 |
| lizpreciatior · lzlv_70b_fp16_hf | lizpreciatior | ₽82.13/M | ₽93.63/M | ₽2 111 |
| llama 3.2 90b vision | llama 3.2 90b vision | ₽82.13/M | ₽93.63/M | ₽2 111 |
| lzlv 70b fp16 hf | lzlv 70b fp16 hf | ₽82.13/M | ₽93.63/M | ₽2 111 |
| mattshumer · Reflection-Llama-3.1-70B | mattshumer | ₽82.13/M | ₽93.63/M | ₽2 111 |
| Qwen2 72B Instruct | Qwen | ₽82.13/M | ₽93.63/M | ₽2 111 |
| reflection llama 3.1 70b | reflection llama 3.1 70b | ₽82.13/M | ₽93.63/M | ₽2 111 |
| llama 3 sonar large 32k chat | llama 3 sonar large 32k chat | ₽88.00/M | ₽88.00/M | ₽2 200 |
| llama 3 sonar small 32k chat | llama 3 sonar small 32k chat | ₽88.00/M | ₽88.00/M | ₽2 200 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.71/M | ₽314/M | ₽2 326 |
| DeepSeek V3 | deepseek search | ₽58.66/M | ₽235/M | ₽2 347 |
| deepseek v3 1 250821 | deepseek v3 1 250821 | ₽58.66/M | ₽235/M | ₽2 347 |
| deepseek v3.1 | deepseek v3.1 | ₽58.66/M | ₽235/M | ₽2 347 |
| DeepSeek-V3.1 | deepseek ai | ₽58.66/M | ₽235/M | ₽2 347 |
| llama 3.1 70b | llama 3.1 70b | ₽93.86/M | ₽93.86/M | ₽2 347 |
| Meta-Llama-3.1-70B-Instruct-Turbo | meta llama | ₽93.86/M | ₽93.86/M | ₽2 347 |
| minimaxai · minimax-m2 | minimaxai | ₽59.84/M | ₽239/M | ₽2 393 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽50.28/M | ₽302/M | ₽2 514 |
| gemini 3.1 pro high | gemini 3.1 pro high | ₽50.28/M | ₽302/M | ₽2 514 |
| Qwen Turbo | qwen turbo | ₽101/M | ₽101/M | ₽2 514 |
| Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen | ₽68.05/M | ₽282/M | ₽2 770 |
| grok 4.5 | x ai | ₽83.81/M | ₽251/M | ₽2 933 |
| grok 4.6 | grok 4.6 | ₽83.81/M | ₽251/M | ₽2 933 |
| Llama 4 Maverick 17B 128E Instruct Turbo | meta llama | ₽117/M | ₽117/M | ₽2 933 |
| O3 Mini | o3 mini | ₽75.43/M | ₽302/M | ₽3 017 |
| allenai · olmOCR-7B-0725-FP8 | allenai | ₽63.36/M | ₽352/M | ₽3 028 |
| olmocr 7b 0725 fp8 | olmocr 7b 0725 fp8 | ₽63.36/M | ₽352/M | ₽3 028 |
| mistralai · Mixtral-8x7B-Instruct-v0.1 | mistralai | ₽127/M | ₽127/M | ₽3 168 |
| mixtral 8x7b instruct v0.1 | mixtral 8x7b instruct v0.1 | ₽127/M | ₽127/M | ₽3 168 |
| Command | command | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Light | command light | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Light Nightly | command light nightly | ₽83.81/M | ₽335/M | ₽3 352 |
| Command Nightly | command nightly | ₽83.81/M | ₽335/M | ₽3 352 |
| Text Ada 001 | text ada 001 | ₽134/M | ₽134/M | ₽3 352 |
| deepseek ai · DeepSeek-R1-Distill-Llama-70B | deepseek ai | ₽117/M | ₽235/M | ₽3 520 |
| deepseek r1 distill llama 70b | deepseek | ₽117/M | ₽235/M | ₽3 520 |
| deepseek v3.2 | deepseek | ₽117/M | ₽235/M | ₽3 520 |
| Llama 3.1 Nemotron 70B Instruct | nvidia | ₽141/M | ₽141/M | ₽3 520 |
| Phind · Phind-CodeLlama-34B-v2 | Phind | ₽141/M | ₽141/M | ₽3 520 |
| phind codellama 34b v2 | phind codellama 34b v2 | ₽141/M | ₽141/M | ₽3 520 |
| WizardLM-2 8x22B | microsoft | ₽145/M | ₽145/M | ₽3 637 |
| gpt 5 chat | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5 codex high | gpt 5 codex high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5 high | gpt 5 high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 chat | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 codex max | openai | ₽62.85/M | ₽503/M | ₽3 771 |
| gpt 5.1 high | gpt 5.1 high | ₽62.85/M | ₽503/M | ₽3 771 |
| GPT-5 | gpt 5 | ₽62.85/M | ₽503/M | ₽3 771 |
| agnes 2.0 flash | agnes 2.0 flash | ₽83.81/M | ₽419/M | ₽3 771 |
| mistralai · Mixtral-8x22B-Instruct-v0.1 | mistralai | ₽153/M | ₽153/M | ₽3 813 |
| mixtral 8x22b instruct v0.1 | mixtral 8x22b instruct v0.1 | ₽153/M | ₽153/M | ₽3 813 |
| l3.1 70b euryale v2.2 | l3.1 70b euryale v2.2 | ₽153/M | ₽175/M | ₽3 928 |
| L3.1-70B-Euryale-v2.2 | Sao10K | ₽153/M | ₽175/M | ₽3 928 |
| l3.3 70b euryale v2.3 | l3.3 70b euryale v2.3 | ₽153/M | ₽175/M | ₽3 928 |
| Sao10K · L3.3-70B-Euryale-v2.3 | Sao10K | ₽153/M | ₽175/M | ₽3 928 |
| Llama 2 70b chat hf | meta llama | ₽150/M | ₽188/M | ₽3 942 |
| gpt 4.1 | openai | ₽101/M | ₽402/M | ₽4 023 |
| O3 | o3 | ₽101/M | ₽402/M | ₽4 023 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽58.66/M | ₽587/M | ₽4 106 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽58.66/M | ₽587/M | ₽4 106 |
| mistral large latest | mistral large latest | ₽117/M | ₽352/M | ₽4 106 |
| Mistral Small | mistral small | ₽117/M | ₽352/M | ₽4 106 |
| gpt 5.5 | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 | gpt 5.6 | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 sol | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| Grok 4 | grok 4 | ₽168/M | ₽168/M | ₽4 190 |
| Text Babbage 001 | text babbage 001 | ₽168/M | ₽168/M | ₽4 190 |
| l3 70b euryale v2.1 | l3 70b euryale v2.1 | ₽164/M | ₽187/M | ₽4 221 |
| Sao10K · L3-70B-Euryale-v2.1 | Sao10K | ₽164/M | ₽187/M | ₽4 221 |
| Claude 3 Haiku | Anthropic | ₽94.28/M | ₽471/M | ₽4 243 |
| gpt oss 120b | openai | ₽70.40/M | ₽586/M | ₽4 340 |
| airoboros 70b | airoboros 70b | ₽164/M | ₽212/M | ₽4 345 |
| deepinfra · airoboros-70b | deepinfra | ₽164/M | ₽212/M | ₽4 345 |
| minimax m2.1 | minimax | ₽111/M | ₽444/M | ₽4 435 |
| qwen3.6 plus | qwen | ₽93.86/M | ₽563/M | ₽4 693 |
| Qwen3 235B A22B Instruct | alibaba | ₽117/M | ₽469/M | ₽4 693 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽117/M | ₽469/M | ₽4 693 |
| deepseek prover v2 671b | deepseek prover v2 671b | ₽117/M | ₽512/M | ₽4 904 |
| DeepSeek Prover V2 671B | deepseek ai | ₽117/M | ₽512/M | ₽4 904 |
| minimax m2.5 | minimax | ₽123/M | ₽493/M | ₽4 928 |
| gpt 3.5 turbo | openai | ₽168/M | ₽335/M | ₽5 028 |
| GPT 5.2 High | gpt 5.2 high | ₽88.00/M | ₽704/M | ₽5 280 |
| gpt 5.3 codex | openai | ₽88.00/M | ₽704/M | ₽5 280 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽132/M | ₽528/M | ₽5 280 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽126/M | ₽629/M | ₽5 657 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽126/M | ₽629/M | ₽5 657 |
| claude sonnet 5 | anthropic | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.3 | x ai | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.5 high | grok 4.5 high | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.5 low | grok 4.5 low | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.5 medium | grok 4.5 medium | ₽168/M | ₽503/M | ₽5 866 |
| Hermes 3 405B Instruct | nousresearch | ₽235/M | ₽235/M | ₽5 866 |
| hermes 3 llama 3.1 405b | hermes 3 llama 3.1 405b | ₽235/M | ₽235/M | ₽5 866 |
| O1 Mini | o1 mini | ₽151/M | ₽603/M | ₽6 034 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽164/M | ₽563/M | ₽6 101 |
| deepseek r1 turbo | deepseek r1 turbo | ₽164/M | ₽586/M | ₽6 217 |
| Claude Sonnet 4 | claude sonnet 4 | ₽251/M | ₽251/M | ₽6 285 |
| GPT 5.4 High | gpt 5.4 high | ₽126/M | ₽754/M | ₽6 285 |
| Claude Opus 4.7 | claude opus 4 7 | ₽147/M | ₽733/M | ₽6 600 |
| glm 4.6 | z ai | ₽176/M | ₽704/M | ₽7 040 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽251/M | ₽629/M | ₽8 171 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽251/M | ₽629/M | ₽8 171 |
| deepseek ai · DeepSeek-R1-Turbo | deepseek ai | ₽235/M | ₽704/M | ₽8 213 |
| deepseek ai · DeepSeek-V3-0324-Turbo | deepseek ai | ₽235/M | ₽704/M | ₽8 213 |
| DeepSeek V3 (Turbo) | deepseek | ₽235/M | ₽704/M | ₽8 213 |
| GPT-4o | gpt 4o | ₽210/M | ₽838/M | ₽8 381 |
| glm 4.7 | z ai | ₽211/M | ₽845/M | ₽8 448 |
| gemini 3.6 flash | ₽189/M | ₽943/M | ₽8 485 | |
| qwen3.5 397b a17b | qwen | ₽176/M | ₽1 056/M | ₽8 800 |
| DeepSeek R1 | deepseek r1 | ₽235/M | ₽838/M | ₽8 882 |
| Claude Opus 4.5 | claude opus 4 5 | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.6 | claude opus 4 6 | ₽210/M | ₽1 048/M | ₽9 428 |
| claude opus 4.8 | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| claude opus 5 | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽157/M | ₽1 257/M | ₽9 428 |
| Command R Plus | command r plus | ₽251/M | ₽1 006/M | ₽10 057 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽335/M | ₽670/M | ₽10 057 |
| Kimi K2.5 | kimi k2.5 | ₽235/M | ₽1 232/M | ₽10 853 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 4 reasoning | grok 4 reasoning | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 4.2 | grok 4.2 | ₽251/M | ₽1 257/M | ₽11 314 |
| grok 420 fast | grok 420 fast | ₽251/M | ₽1 257/M | ₽11 314 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽251/M | ₽1 257/M | ₽11 314 |
| Gemini 3 Pro | gemini 3 pro | ₽251/M | ₽1 509/M | ₽12 571 |
| gpt 5.5 high | gpt 5.5 high | ₽251/M | ₽1 509/M | ₽12 571 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽251/M | ₽1 509/M | ₽12 571 |
| GLM-5 | glm 5 | ₽352/M | ₽1 291/M | ₽13 493 |
| glm 5.1 | z ai | ₽352/M | ₽1 408/M | ₽14 079 |
| O4 Mini | o4 mini | ₽369/M | ₽1 475/M | ₽14 750 |
| gpt 4 | openai | ₽503/M | ₽1 006/M | ₽15 085 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽503/M | ₽1 006/M | ₽15 085 |
| gpt 4 vision | gpt 4 vision | ₽503/M | ₽1 006/M | ₽15 085 |
| Grok 3 | grok 3 | ₽335/M | ₽1 676/M | ₽15 085 |
| kimi k2.7 code | moonshotai | ₽381/M | ₽1 584/M | ₽15 546 |
| kimi k2.6 | moonshotai | ₽384/M | ₽1 584/M | ₽15 605 |
| Text Curie 001 | text curie 001 | ₽670/M | ₽670/M | ₽16 761 |
| glm 5.2 | z ai | ₽469/M | ₽1 643/M | ₽17 599 |
| gpt 4 turbo | openai | ₽503/M | ₽1 509/M | ₽17 599 |
| claude fable 5 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| GLM 4 | glm 4 | ₽838/M | ₽838/M | ₽20 952 |
| deepseek v4 pro | deepseek | ₽704/M | ₽1 408/M | ₽21 119 |
| Nemotron 4 340B Instruct | nvidia | ₽986/M | ₽986/M | ₽24 639 |
| gpt image 1.5 | openai | ₽503/M | ₽3 218/M | ₽26 147 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽469/M | ₽3 403/M | ₽26 399 |
| Qwen Plus | qwen plus | ₽1 173/M | ₽1 173/M | ₽29 332 |
| Claude 3.5 Haiku | Anthropic | ₽670/M | ₽3 352/M | ₽30 170 |
| gpt 3.5 turbo 16k | openai | ₽1 006/M | ₽2 011/M | ₽30 170 |
| O1 | o1 | ₽754/M | ₽3 017/M | ₽30 170 |
| deepseek v3.1 terminus | deepseek | ₽939/M | ₽3 754/M | ₽37 545 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽838/M | ₽5 028/M | ₽41 903 |
| gpt 5 pro | openai | ₽754/M | ₽6 034/M | ₽45 255 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽1 131/M | ₽5 657/M | ₽50 912 |
| kimi k3 | moonshotai | ₽1 173/M | ₽5 866/M | ₽52 798 |
| alibaba qwen3 32b | alibaba qwen3 32b | ₽1 408/M | ₽5 632/M | ₽56 317 |
| Claude 3 Opus | claude 3 opus | ₽1 257/M | ₽6 285/M | ₽56 569 |
| Claude Opus 4 | claude opus 4 | ₽1 257/M | ₽6 285/M | ₽56 569 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽1 257/M | ₽7 543/M | ₽62 854 |
| gpt 5.4 pro | openai | ₽1 509/M | ₽9 051/M | ₽75 425 |
| gemini 3 pro image | ₽251/M | ₽15 085/M | ₽80 454 | |
| claude jupiter v1 p | claude jupiter v1 p | ₽1 886/M | ₽9 428/M | ₽84 853 |
| DALL E 3 | DALL E 3 | ₽4 023/M | ₽4 023/M | ₽100 567 |
| code llama 34b | code llama 34b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| deepseek ocr | deepseek ocr | ₽4 400/M | ₽4 400/M | ₽109 995 |
| deepseek r1 searching | deepseek r1 searching | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Dolphin3.0 R1 Mistral 24B | Dolphin3.0 R1 Mistral 24B | ₽4 400/M | ₽4 400/M | ₽109 995 |
| glm 4 airx | glm 4 airx | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4 Flash | glm 4 flash | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4 Long | GLM 4 Long | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GLM 4.5 X | glm 4.5 x | ₽4 400/M | ₽4 400/M | ₽109 995 |
| kimi k2 250905 | kimi k2 250905 | ₽4 400/M | ₽4 400/M | ₽109 995 |
| kimi k2 250905 ci | kimi k2 250905 ci | ₽4 400/M | ₽4 400/M | ₽109 995 |
| llama 2 13b | llama 2 13b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| llama 2 70b | llama 2 70b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 3.1 405B | Llama 3.1 405B | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 4 Maverick | llama 4 maverick | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Llama 4 Scout | llama 4 scout | ₽4 400/M | ₽4 400/M | ₽109 995 |
| minimax m3 | minimax | ₽4 400/M | ₽4 400/M | ₽109 995 |
| pixtral large 2411 | pixtral large 2411 | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen 2.5 72b instruct | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen 3.5 plus | qwen 3.5 plus | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen 3.8 Max | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen Max | qwen max | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen Qwq 32B | qwen qwq 32b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen-VL Max | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen1.5 110B Chat | Qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 8b | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 coder 480b | qwen3 coder 480b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwen3 coder plus | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4 400/M | ₽4 400/M | ₽109 995 |
| Qwen3-VL Plus | alibaba | ₽4 400/M | ₽4 400/M | ₽109 995 |
| qwq 72b preview | qwen | ₽4 400/M | ₽4 400/M | ₽109 995 |
| GPT Chat | gpt chat latest | ₽3 771/M | ₽7 543/M | ₽113 138 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽4 651/M | ₽4 651/M | ₽116 281 |
| tts 1 | openai | ₽5 028/M | ₽5 028/M | ₽125 709 |
| Tts 1 1106 | tts 1 1106 | ₽5 028/M | ₽5 028/M | ₽125 709 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽5 783/M | ₽5 783/M | ₽144 565 |
| o3 pro | openai | ₽3 771/M | ₽15 085/M | ₽150 850 |
| Mistral Large 2407 | Mistral large 2407 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| mistral large 2411 | mistral large 2411 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| mistral small 2407 | mistral small 2407 | ₽4 400/M | ₽13 199/M | ₽153 993 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| grok 4.20 | x ai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 405B (reasoning) | llama 3.1 405b reasoning | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 70B Versatile | llama 3.1 70b versatile | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama 3.1 8B Instant | llama 3.1 8b instant | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama2 7B 2048 | llama2 7b 2048 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| mixtral 8x7b 32768 | mixtral 8x7b 32768 | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash landscape | omni_flash landscape | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash landscape hd | omni_flash landscape hd | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash portrait | omni_flash portrait | ₽6 285/M | ₽6 285/M | ₽157 136 |
| omni_flash portrait hd | omni_flash portrait hd | ₽6 285/M | ₽6 285/M | ₽157 136 |
| pi ai | pi ai | ₽6 285/M | ₽6 285/M | ₽157 136 |
| sambanova llama31 405b | sambanova llama31 405b | ₽6 285/M | ₽6 285/M | ₽157 136 |
| Llama2 70B 4096 | llama2 70b 4096 | ₽6 285/M | ₽7 857/M | ₽164 993 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽6 704/M | ₽6 704/M | ₽167 612 |
| Llama3 70B 8192 | llama3 70b 8192 | ₽6 285/M | ₽8 416/M | ₽167 789 |
| gpt 4.5 preview | gpt 4.5 preview | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 codex mini | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 codex xhigh | gpt 5.1 codex xhigh | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.1 medium | gpt 5.1 medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 chat | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex high | gpt 5.2 codex high | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex medium | gpt 5.2 codex medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 codex xhigh | gpt 5.2 codex xhigh | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.2 medium | gpt 5.2 medium | ₽3 771/M | ₽22 628/M | ₽188 563 |
| gpt 5.3 chat | openai | ₽3 771/M | ₽22 628/M | ₽188 563 |
| Llama3 8B 8192 | llama3 8b 8192 | ₽6 285/M | ₽12 571/M | ₽188 563 |
| gpt 5.4 nano | openai | ₽3 771/M | ₽23 570/M | ₽193 277 |
| gpt 5 codex medium | gpt 5 codex medium | ₽3 771/M | ₽30 170/M | ₽226 276 |
| gpt 5 codex mini | gpt 5 codex mini | ₽3 771/M | ₽30 170/M | ₽226 276 |
| gpt 5 medium | gpt 5 medium | ₽3 771/M | ₽30 170/M | ₽226 276 |
| tts 1 hd | openai | ₽10 057/M | ₽10 057/M | ₽251 417 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽10 057/M | ₽10 057/M | ₽251 417 |
| whisper 1 | openai | ₽10 057/M | ₽10 057/M | ₽251 417 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽7 543/M | ₽30 170/M | ₽301 701 |
| Seedance 2.0 | bytedance | ₽12 571/M | ₽12 571/M | ₽314 272 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽9 428/M | ₽37 713/M | ₽377 126 |
| gemini 3.1 flash image | ₽9 428/M | ₽37 713/M | ₽377 126 | |
| gpt 5.2 pro | openai | ₽7 040/M | ₽56 317/M | ₽422 381 |
| deepseek ai · deepseek-v3.1-terminus | deepseek ai | ₽17 599/M | ₽17 599/M | ₽439 980 |
| gemma 2 27b it | ₽17 599/M | ₽17 599/M | ₽439 980 | |
| gemma 2 9b it | gemma 2 9b it | ₽17 599/M | ₽17 599/M | ₽439 980 |
| Gemma 3 4B It | gemma 3 4b it | ₽17 599/M | ₽17 599/M | ₽439 980 |
| llama3 8b instruct | llama3 8b instruct | ₽17 599/M | ₽17 599/M | ₽439 980 |
| llama3.3 70b instruct | llama3.3 70b instruct | ₽17 599/M | ₽17 599/M | ₽439 980 |
| mistralai · mistral-nemotron | mistralai | ₽17 599/M | ₽17 599/M | ₽439 980 |
| GPT 4 32K | gpt 4 32k | ₽20 113/M | ₽40 227/M | ₽603 402 |
| gemini 3.5 flash lite | ₽18 856/M | ₽75 425/M | ₽754 252 | |
| o1 pro | openai | ₽25 142/M | ₽100 567/M | ₽1 005 670 |
Изображения
за изображение · 23
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Изображения
за изображение · 23
| Модель | Maker | Цена |
|---|---|---|
| Seedream-4 | ByteDance | ₽1.68/изобр. |
| gpt image 2 | gpt image 2 | ₽2.51/изобр. |
| gpt image 1 | openai | ₽3.35/изобр. |
| Grok Imagine | x ai | ₽3.35/изобр. |
| grok imagine image quality | grok imagine image quality | ₽3.35/изобр. |
| seedream 4 hd | seedream 4 hd | ₽3.35/изобр. |
| Flux | flux | ₽4.19/изобр. |
| Z-Image Turbo | alibaba | ₽4.19/изобр. |
| Qwen Image Max | alibaba | ₽4.69/изобр. |
| Qwen Image Plus | alibaba | ₽4.69/изобр. |
| gemini 3.1 flash image preview c | gemini 3.1 flash image preview c | ₽6.29/изобр. |
| gpt 4o image | gpt 4o image | ₽6.70/изобр. |
| Qwen Image Edit | alibaba | ₽6.70/изобр. |
| gemini 2.5 flash image | ₽6.79/изобр. | |
| gemini 3 pro image preview c | gemini 3 pro image preview c | ₽8.17/изобр. |
| grok 4 image | grok 4 image | ₽8.38/изобр. |
| Qwen Image 2.0 | alibaba | ₽8.38/изобр. |
| seedream 5.0 | seedream 5.0 | ₽8.38/изобр. |
| flux kontext pro | flux kontext pro | ₽12.57/изобр. |
| Doubao Seedream 4.5 | doubao seedream 4 5 | ₽16.76/изобр. |
| doubao seedream 5 0 | doubao seedream 5 0 | ₽16.76/изобр. |
| Doubao Seedream 4.0 | doubao seedream 4 0 | ₽20.95/изобр. |
| Flux Kontext Max | flux kontext max | ₽23.47/изобр. |
За запрос
фиксированная цена за вызов · 38
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За запрос
фиксированная цена за вызов · 38
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Max | qwen3 max | ₽1.76/вызов |
| Qwen3-Omni Flash | alibaba | ₽2.51/вызов |
| riverflow-v2.5-pro | sourceful | ₽2.51/вызов |
| gpt 5 codex | openai | ₽4.02/вызов |
| Grok Imagine Video | x ai | ₽16.76/вызов |
| grok-imagine-video-1.5 | grok imagine video 1 5 | ₽16.76/вызов |
| jimeng video 3.0 | jimeng video 3.0 | ₽20.95/вызов |
| jimeng video 3.0 10s | jimeng video 3.0 10s | ₽20.95/вызов |
| jimeng video 3.0 pro | jimeng video 3.0 pro | ₽20.95/вызов |
| jimeng video 3.0 pro 10s | jimeng video 3.0 pro 10s | ₽20.95/вызов |
| Sora 2 | Sora 2 | ₽23.05/вызов |
| Veo 3.1 Text to Video | veo3.1 | ₽33.52/вызов |
| veo3.1 fast fl | veo3.1 fast fl | ₽33.52/вызов |
| veo3.1 fl | veo3.1 fl | ₽33.52/вызов |
| veo3.1 landscape | veo3.1 landscape | ₽33.52/вызов |
| veo3.1 landscape fl | veo3.1 landscape fl | ₽33.52/вызов |
| veo3.1 portrait | veo3.1 portrait | ₽33.52/вызов |
| veo3.1 portrait fl | veo3.1 portrait fl | ₽33.52/вызов |
| Doubao Seedance 1.0 Pro 250528 | doubao seedance 1 0 pro 250528 | ₽40.23/вызов |
| Doubao Seedance 1.0 Pro Fast 251015 | doubao seedance 1 0 pro fast 251015 | ₽40.23/вызов |
| Doubao Seedance 1.5 Pro 251215 | doubao seedance 1 5 pro 251215 | ₽40.23/вызов |
| grok imagine 0.9 | grok imagine 0.9 | ₽41.90/вызов |
| grok imagine 1.0 | grok imagine 1.0 | ₽41.90/вызов |
| grok imagine 1.0 video | grok imagine 1.0 video | ₽41.90/вызов |
| jimeng video 3.5 pro | jimeng video 3.5 pro | ₽41.90/вызов |
| jimeng video 3.5 pro 10s | jimeng video 3.5 pro 10s | ₽67.04/вызов |
| jimeng video 3.5 pro 12s | jimeng video 3.5 pro 12s | ₽75.43/вызов |
| veo3.1 landscape 4k | veo3.1 landscape 4k | ₽83.81/вызов |
| veo3.1 landscape fl 4k | veo3.1 landscape fl 4k | ₽83.81/вызов |
| veo3.1 landscape fl hd | veo3.1 landscape fl hd | ₽83.81/вызов |
| veo3.1 landscape hd | veo3.1 landscape hd | ₽83.81/вызов |
| veo3.1 portrait 4k | veo3.1 portrait 4k | ₽83.81/вызов |
| veo3.1 portrait fl 4k | veo3.1 portrait fl 4k | ₽83.81/вызов |
| veo3.1 portrait fl hd | veo3.1 portrait fl hd | ₽83.81/вызов |
| veo3.1 portrait hd | veo3.1 portrait hd | ₽83.81/вызов |
| Sora 2 Pro | sora 2 pro | ₽335/вызов |
| dance2 fast 15s | dance2 fast 15s | ₽419/вызов |
| veo3.1 pro | veo3.1 pro | ₽587/вызов |
О провайдере
Как сравнивать на AI-APISHKA
Сравнивайте доллары за миллион токенов с ZEN-AI, OpenAI Labs и QuickRouter. Для продакшена закладывайте не минимальную группу, а ту, на которой ваш ключ.
Частые вопросы
- Какой адрес API?
- https://www.ggwk1.online/v1
- Где документация?
- https://apiai.apifox.cn/
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
ggwk1 предлагает 444 моделей AI API. Средняя цена — ₽2 898/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.17/M (llama 3.2 1b:free).
Сравните цены на Seedream-4 , Qwen3 Max , gpt image 2 , Qwen3-Omni Flash и riverflow-v2.5-pro у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.08.2026.