344 моделей · за токены
- Моделей
- 344
- Средняя цена
- ₽272/M
- Регион
- Россия
- Биллинг
- за токены
- Юрлица
- Да
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 = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
344 моделей
Текст и чат
оплата за токены · 344
▼
Текст и чат
оплата за токены · 344
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.31/M | ₽0.31/M | ₽6 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.39/M | ₽0.39/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.39/M | ₽0.39/M | ₽8 |
| GTE-Base | Thenlper | ₽0.39/M | ₽0.39/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| Bge M3 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| bge-large-en-v1.5 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| E5-Large-v2 | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| GTE-Large | Thenlper | ₽0.78/M | ₽0.78/M | ₽16 |
| Multilingual-E5-Large | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.78/M | ₽0.78/M | ₽16 |
| Ling-2.6-flash | inclusionAI | ₽0.78/M | ₽2.34/M | ₽27 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.56/M | ₽2.34/M | ₽43 |
| mistralai · mistral-nemo | mistralai | ₽1.56/M | ₽2.34/M | ₽43 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.34/M | ₽2.34/M | ₽47 |
| granite-4.0-h-micro | ibm granite | ₽1.33/M | ₽8.73/M | ₽70 |
| Llama 3 8B Lunaris | Sao10K | ₽3.12/M | ₽3.90/M | ₽82 |
| lfm-2-24b-a2b | liquid | ₽2.34/M | ₽9.35/M | ₽94 |
| gpt oss 20b | openai | ₽2.26/M | ₽10.91/M | ₽100 |
| Qwen Turbo | qwen turbo | ₽2.53/M | ₽10.13/M | ₽101 |
| qwen 2.5 7b instruct | qwen | ₽3.12/M | ₽7.80/M | ₽101 |
| gpt oss 120b | openai | ₽2.34/M | ₽11.69/M | ₽105 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽3.90/M | ₽6.24/M | ₽109 |
| Nova Micro | amazon | ₽2.73/M | ₽10.91/M | ₽109 |
| command r7b 12 2024 | cohere | ₽2.92/M | ₽11.69/M | ₽117 |
| Gemma 3 4B It | gemma 3 4b it | ₽3.90/M | ₽7.80/M | ₽117 |
| Granite 4.1 8B | IBM | ₽3.90/M | ₽7.80/M | ₽117 |
| Mythomax L2 13B | Gryphe | ₽4.68/M | ₽4.68/M | ₽117 |
| Llama 3.2 1B Preview | meta llama | ₽2.10/M | ₽15.67/M | ₽120 |
| Nemotron Nano 9B V2 | NVIDIA | ₽3.12/M | ₽12.47/M | ₽125 |
| trinity-mini | arcee ai | ₽3.51/M | ₽11.69/M | ₽129 |
| gemma 3 12b it | ₽3.90/M | ₽11.69/M | ₽136 | |
| gemma 3n e4b it | ₽4.68/M | ₽9.35/M | ₽140 | |
| qwen3 30b a3b instruct 2507 | qwen | ₽3.75/M | ₽15.05/M | ₽150 |
| Mistral Embed 2312 | Mistral | ₽7.80/M | ₽7.80/M | ₽156 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽15.59/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| Phi 4 | Microsoft | ₽5.46/M | ₽10.91/M | ₽164 |
| qwen3 235b a22b 2507 | qwen | ₽7.02/M | ₽7.80/M | ₽179 |
| Hy3 | hy3 | ₽4.91/M | ₽16.37/M | ₽180 |
| Nova Lite | amazon | ₽4.68/M | ₽18.71/M | ₽187 |
| gemma 3 27b it | ₽6.24/M | ₽12.47/M | ₽187 | |
| GLM 4 32B | Z.ai | ₽7.80/M | ₽7.80/M | ₽195 |
| mistralai · ministral-3b-2512 | mistralai | ₽7.80/M | ₽7.80/M | ₽195 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽5.85/M | ₽15.59/M | ₽195 |
| Reka Edge | rekaai | ₽7.80/M | ₽7.80/M | ₽195 |
| Qwen3.5 Flash | qwen3.5 flash | ₽5.07/M | ₽20.27/M | ₽203 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| deepseek v4 flash | deepseek | ₽6.94/M | ₽14.03/M | ₽209 |
| Llama 3.2 3B | llama 3.2 3b | ₽3.97/M | ₽26.12/M | ₽210 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.46/M | ₽21.05/M | ₽214 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| ERNIE 4.5 21B A3B | Baidu | ₽5.46/M | ₽21.83/M | ₽218 |
| gemma 4 26b a4b it | ₽4.68/M | ₽25.73/M | ₽222 | |
| Codestral Embed 2505 | Mistral | ₽11.69/M | ₽11.69/M | ₽234 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽5.85/M | ₽23.39/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| gpt oss safeguard 20b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| laguna-xs.2 | poolside | ₽7.80/M | ₽15.59/M | ₽234 |
| qwen3 32b | qwen | ₽6.24/M | ₽21.83/M | ₽234 |
| Reka Flash 3 | rekaai | ₽7.80/M | ₽15.59/M | ₽234 |
| Seed 1.6 Flash | ByteDance Seed | ₽5.85/M | ₽23.39/M | ₽234 |
| UI-TARS 7B | ByteDance | ₽7.80/M | ₽15.59/M | ₽234 |
| Mistral 7B Instruct v0.1 | Mistral | ₽8.58/M | ₽14.81/M | ₽246 |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| qwen3 14b | qwen | ₽7.80/M | ₽18.71/M | ₽249 |
| Phi 4 Mini Instruct | microsoft | ₽6.24/M | ₽27.28/M | ₽261 |
| Devstral Small 1.1 | Mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Hermes 2 Pro - Llama-3 8B | NousResearch | ₽10.91/M | ₽10.91/M | ₽273 |
| Llama 3 (8B) | llama 3 8b | ₽10.91/M | ₽10.91/M | ₽273 |
| Llama 4 Scout | llama 4 scout | ₽7.80/M | ₽23.39/M | ₽273 |
| mimo v2 flash | xiaomi | ₽7.80/M | ₽23.39/M | ₽273 |
| mimo v2.5 | mimo v2.5 | ₽8.19/M | ₽21.83/M | ₽273 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| Voxtral Small 24B 2507 | Mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama 3.3 70B | llama 3.3 70b | ₽7.80/M | ₽24.95/M | ₽281 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽6.63/M | ₽31.18/M | ₽288 |
| mistralai · ministral-8b-2512 | mistralai | ₽11.69/M | ₽11.69/M | ₽292 |
| Rnj 1 Instruct | EssentialAI | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽7.80/M | ₽31.18/M | ₽312 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Seed-2.0-Mini | ByteDance Seed | ₽7.80/M | ₽31.18/M | ₽312 |
| Tongyi DeepResearch 30B A3B | alibaba | ₽7.02/M | ₽35.08/M | ₽316 |
| gemma 4 31b it | ₽9.35/M | ₽27.28/M | ₽324 | |
| qwen3 vl 32b instruct | qwen | ₽8.11/M | ₽32.43/M | ₽324 |
| llama guard 4 12b | meta llama | ₽14.03/M | ₽14.03/M | ₽351 |
| Spotlight | Arcee AI | ₽14.03/M | ₽14.03/M | ₽351 |
| Hermes 4 70B | Nous | ₽10.13/M | ₽31.18/M | ₽359 |
| qwen3 8b | qwen | ₽9.12/M | ₽35.47/M | ₽360 |
| qwen3 vl 8b instruct | qwen | ₽9.12/M | ₽35.47/M | ₽360 |
| Ling-2.6-1T | inclusionAI | ₽5.85/M | ₽48.72/M | ₽361 |
| Ring-2.6-1T | inclusionAI | ₽5.85/M | ₽48.72/M | ₽361 |
| qwen vl plus | qwen vl plus | ₽10.64/M | ₽31.92/M | ₽372 |
| minimax m2.5 | minimax | ₽9.35/M | ₽37.42/M | ₽374 |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| mistralai · ministral-14b-2512 | mistralai | ₽15.59/M | ₽15.59/M | ₽390 |
| DeepSeek V3.1 Nex N1 | Nex AGI | ₽10.52/M | ₽38.98/M | ₽405 |
| qwen3 vl 30b a3b instruct | qwen | ₽10.13/M | ₽40.54/M | ₽405 |
| Trinity Large Preview | Arcee AI | ₽11.69/M | ₽35.08/M | ₽409 |
| olmo-3-32b-think | allenai | ₽11.69/M | ₽38.98/M | ₽429 |
| ERNIE 4.5 VL 28B A3B | Baidu | ₽10.91/M | ₽43.66/M | ₽437 |
| hunyuan a13b | hunyuan a13b | ₽10.91/M | ₽44.44/M | ₽440 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.60/M | ₽60.81/M | ₽456 |
| Command R | command r | ₽11.69/M | ₽46.77/M | ₽468 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Laguna M.1 | Poolside | ₽15.59/M | ₽31.18/M | ₽468 |
| Llama 4 Maverick | llama 4 maverick | ₽11.69/M | ₽46.77/M | ₽468 |
| Mistral Small 4 | Mistral | ₽11.69/M | ₽46.77/M | ₽468 |
| Solar Pro 3 | Upstage | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 coder next | qwen | ₽8.58/M | ₽62.37/M | ₽483 |
| deepseek v3.2 | deepseek | ₽17.84/M | ₽26.75/M | ₽491 |
| Grok 4 | grok 4 | ₽15.59/M | ₽38.98/M | ₽507 |
| grok 4.1 | grok 4.1 | ₽15.59/M | ₽38.98/M | ₽507 |
| glm 4.5 air | z ai | ₽10.13/M | ₽66.26/M | ₽534 |
| mistralai · mistral-saba | mistralai | ₽15.59/M | ₽46.77/M | ₽546 |
| minimax m2.7 | minimax | ₽14.03/M | ₽56.13/M | ₽561 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽22.61/M | ₽22.61/M | ₽565 |
| Rocinante 12B | TheDrummer | ₽19.49/M | ₽38.98/M | ₽585 |
| qwen3.5 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| qwen3.6 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽22.37/M | ₽33.60/M | ₽615 |
| DeepSeek Chat (V3) | deepseek chat | ₽15.61/M | ₽62.37/M | ₽624 |
| deepseek chat v3.1 | deepseek | ₽16.37/M | ₽61.59/M | ₽635 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽15.59/M | ₽68.60/M | ₽655 |
| Cydonia 24B V4.1 | TheDrummer | ₽23.39/M | ₽38.98/M | ₽663 |
| Grok 3 Mini | grok 3 mini | ₽23.39/M | ₽38.98/M | ₽663 |
| llama 3.2 11b vision:free | meta llama | ₽26.90/M | ₽26.90/M | ₽672 |
| Mercury 2 | Inception | ₽19.49/M | ₽58.47/M | ₽682 |
| qwen3 coder flash | qwen | ₽15.20/M | ₽76.01/M | ₽684 |
| Qwen Plus | qwen plus | ₽20.27/M | ₽60.81/M | ₽709 |
| qwen 2.5 72b instruct | qwen | ₽28.06/M | ₽31.18/M | ₽717 |
| qwen3.6 flash | qwen | ₽14.62/M | ₽87.70/M | ₽731 |
| INTELLECT-3 | Prime Intellect | ₽15.59/M | ₽85.75/M | ₽741 |
| minimax 01 | minimax | ₽15.59/M | ₽85.75/M | ₽741 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽27.36/M | ₽43.27/M | ₽764 |
| Llama Guard 3 8b | meta | ₽37.73/M | ₽2.34/M | ₽766 |
| llama 3.1 70b | llama 3.1 70b | ₽31.18/M | ₽31.18/M | ₽780 |
| Nex-N2-Pro | Nex AGI | ₽19.49/M | ₽77.96/M | ₽780 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽31.18/M | ₽31.18/M | ₽780 |
| UnslopNemo 12B | TheDrummer | ₽31.18/M | ₽31.18/M | ₽780 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽74.06/M | ₽791 |
| minimax m2 | minimax | ₽19.88/M | ₽79.52/M | ₽795 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| qwen3 235b a22b | qwen | ₽11.65/M | ₽117/M | ₽816 |
| Perceptron Mk1 | Perceptron | ₽11.69/M | ₽117/M | ₽819 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| mistralai · codestral-2508 | mistralai | ₽23.39/M | ₽70.16/M | ₽819 |
| ERNIE 4.5 300B A47B | baidu | ₽21.83/M | ₽85.75/M | ₽865 |
| Claude 3 Haiku | Anthropic | ₽19.49/M | ₽97.45/M | ₽877 |
| Grok Code Fast 1 | grok code fast 1 | ₽15.59/M | ₽117/M | ₽897 |
| DeepSeek R1T2 Chimera | TNG | ₽23.39/M | ₽85.75/M | ₽897 |
| qwen3.5 27b | qwen | ₽15.20/M | ₽122/M | ₽912 |
| KAT-Coder-Pro V1 | kwaipilot | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 her | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| ReMM SLERP 13B | undi95 | ₽35.08/M | ₽50.67/M | ₽955 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| qwen3.7 plus | qwen | ₽24.95/M | ₽99.78/M | ₽998 |
| qwen3.5 plus | qwen3.5 plus | ₽20.27/M | ₽122/M | ₽1 013 |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| qwen3 coder | qwen | ₽17.15/M | ₽140/M | ₽1 045 |
| LLama 3 (70B) | llama 3 70b | ₽39.76/M | ₽57.69/M | ₽1 084 |
| Coder Large | Arcee AI | ₽38.98/M | ₽62.37/M | ₽1 091 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽32.74/M | ₽97.45/M | ₽1 142 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 | ByteDance Seed | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed-2.0-Lite | ByteDance Seed | ₽19.49/M | ₽156/M | ₽1 169 |
| Skyfall 36B V2 | TheDrummer | ₽42.88/M | ₽62.37/M | ₽1 169 |
| WizardLM-2 8x22B | microsoft | ₽48.33/M | ₽48.33/M | ₽1 208 |
| qwen3.5 122b a10b | qwen | ₽20.27/M | ₽162/M | ₽1 216 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| gemma 2 27b it | ₽50.67/M | ₽50.67/M | ₽1 267 | |
| qwen3.6 plus | qwen | ₽25.34/M | ₽152/M | ₽1 267 |
| glm 4.7 | z ai | ₽31.18/M | ₽136/M | ₽1 306 |
| Llama 3.3 Euryale 70B | Sao10K | ₽50.67/M | ₽58.47/M | ₽1 306 |
| glm 4.6 | z ai | ₽33.52/M | ₽136/M | ₽1 349 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Hermes 3 70B Instruct | Nous | ₽54.57/M | ₽54.57/M | ₽1 364 |
| Mistral Large 3 2512 | Mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| Kimi K2.5 | kimi k2.5 | ₽29.23/M | ₽158/M | ₽1 374 |
| qwen3.6 27b | qwen | ₽22.22/M | ₽187/M | ₽1 380 |
| Devstral Medium | Mistral | ₽31.18/M | ₽156/M | ₽1 403 |
| mimo v2 omni | mimo v2 omni | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · devstral-2512 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · mistral-medium-3 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · mistral-medium-3.1 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| qwen 2.5 coder 32b instruct | qwen | ₽51.45/M | ₽77.96/M | ₽1 419 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| gemini 2.5 flash image | ₽23.39/M | ₽195/M | ₽1 442 | |
| Nova 2 Lite | amazon | ₽23.39/M | ₽195/M | ₽1 442 |
| minimax m1 | minimax | ₽31.18/M | ₽172/M | ₽1 481 |
| qwen3.5 397b a17b | qwen | ₽30.01/M | ₽191/M | ₽1 555 |
| deepseek r1 distill llama 70b | deepseek | ₽62.37/M | ₽62.37/M | ₽1 559 |
| Weaver (alpha) | Mancer | ₽58.47/M | ₽77.96/M | ₽1 559 |
| DeepSeek R1 | deepseek r1 | ₽38.98/M | ₽168/M | ₽1 618 |
| qwen vl max | qwen vl max | ₽40.54/M | ₽162/M | ₽1 622 |
| aion-1.0-mini | aion labs | ₽54.57/M | ₽109/M | ₽1 637 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| Nemotron 3 Ultra | NVIDIA | ₽38.98/M | ₽172/M | ₽1 637 |
| qwen2.5 vl 72b instruct | qwen | ₽62.37/M | ₽77.96/M | ₽1 637 |
| Virtuoso Large | Arcee AI | ₽58.47/M | ₽93.55/M | ₽1 637 |
| Llama 3.1 Euryale 70B v2.2 | Sao10K | ₽66.26/M | ₽66.26/M | ₽1 657 |
| GLM-5 | glm 5 | ₽46.77/M | ₽150/M | ₽1 684 |
| CodeLLaMa 7B Instruct Solidity | AlfredPros | ₽62.37/M | ₽93.55/M | ₽1 715 |
| morph · morph-v3-fast | morph | ₽62.37/M | ₽93.55/M | ₽1 715 |
| Kimi K2 | kimi k2 | ₽44.44/M | ₽179/M | ₽1 785 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| Relace Apply 3 | Relace | ₽66.26/M | ₽97.45/M | ₽1 812 |
| Aion-2.0 | AionLabs | ₽62.37/M | ₽125/M | ₽1 871 |
| Aion-RP 1.0 (8B) | AionLabs | ₽62.37/M | ₽125/M | ₽1 871 |
| gpt audio mini | openai | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| gemini 3.1 flash image | ₽38.98/M | ₽234/M | ₽1 949 | |
| Hermes 3 405B Instruct | Nous | ₽77.96/M | ₽77.96/M | ₽1 949 |
| Sonar | perplexity | ₽77.96/M | ₽77.96/M | ₽1 949 |
| morph · morph-v3-large | morph | ₽70.16/M | ₽148/M | ₽2 144 |
| Qianfan-OCR-Fast | Baidu | ₽53.01/M | ₽219/M | ₽2 156 |
| qwen3 coder plus | qwen | ₽50.67/M | ₽253/M | ₽2 280 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| kimi k2.6 | moonshotai | ₽51.45/M | ₽266/M | ₽2 358 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽51.45/M | ₽266/M | ₽2 358 |
| Cogito v2.1 671B | Deep Cogito | ₽97.45/M | ₽97.45/M | ₽2 436 |
| Nova Pro | amazon | ₽62.37/M | ₽249/M | ₽2 495 |
| kimi k2.7 code | moonshotai | ₽57.69/M | ₽273/M | ₽2 518 |
| glm 5.2 | z ai | ₽72.50/M | ₽234/M | ₽2 619 |
| router | switchpoint | ₽66.26/M | ₽265/M | ₽2 651 |
| Maestro Reasoning | Arcee AI | ₽70.16/M | ₽257/M | ₽2 690 |
| Hermes 4 405B | nousresearch | ₽77.96/M | ₽234/M | ₽2 728 |
| mimo v2 pro | mimo v2 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| relace · relace-search | relace | ₽77.96/M | ₽234/M | ₽2 728 |
| Qwen3 Max | qwen3 max | ₽60.81/M | ₽304/M | ₽2 736 |
| Claude 3.5 Haiku | Anthropic | ₽62.37/M | ₽312/M | ₽2 806 |
| Llama 3 Euryale 70B v2.1 | Sao10k | ₽115/M | ₽115/M | ₽2 884 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| OpenAI GPT Mini Latest | ~openai | ₽58.47/M | ₽351/M | ₽2 923 |
| glm 5.1 | z ai | ₽76.01/M | ₽335/M | ₽3 196 |
| Qwen Max | qwen max | ₽81.08/M | ₽324/M | ₽3 243 |
| Palmyra X5 | Writer | ₽46.77/M | ₽468/M | ₽3 274 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| glm 5v turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽77.96/M | ₽390/M | ₽3 508 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| Qwen3.6 Max | Qwen3.6 Max | ₽81.08/M | ₽486/M | ₽4 054 |
| gpt 5 image mini | openai | ₽195/M | ₽156/M | ₽4 677 |
| mistralai · mistral-medium-3-5 | mistralai | ₽117/M | ₽585/M | ₽5 262 |
| Mistral Large 2407 | Mistral large 2407 | ₽156/M | ₽468/M | ₽5 457 |
| Mistral Large 2411 | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| mistralai · mistral-large | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| Pixtral Large 2411 | Mistral | ₽156/M | ₽468/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Google Gemini Flash Latest | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex max | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| Llama 3.1 70B Hanami x1 | Sao10K | ₽234/M | ₽234/M | ₽5 847 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽312/M | ₽6 237 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| Jamba Large 1.7 | AI21 | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| o4 mini deep research | openai | ₽156/M | ₽624/M | ₽6 237 |
| sonar deep research | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| sonar reasoning pro | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| Magnum v4 72B | anthracite org | ₽234/M | ₽390/M | ₽6 626 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽156/M | ₽780/M | ₽7 016 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| gemini 3.1 pro preview customtools | ₽156/M | ₽935/M | ₽7 796 | |
| Google Gemini Pro Latest | ₽156/M | ₽935/M | ₽7 796 | |
| Cohere Command A | cohere command a | ₽195/M | ₽780/M | ₽7 796 |
| Command R Plus | command r plus | ₽195/M | ₽780/M | ₽7 796 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽195/M | ₽780/M | ₽7 796 |
| gpt audio | openai | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| Inflection 3 Pi | Inflection | ₽195/M | ₽780/M | ₽7 796 |
| Inflection 3 Productivity | Inflection | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Goliath 120B | alpindale | ₽292/M | ₽585/M | ₽8 770 |
| Nova Premier 1.0 | Amazon | ₽195/M | ₽974/M | ₽8 770 |
| aion-1.0 | aion labs | ₽312/M | ₽624/M | ₽9 355 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4 | claude sonnet 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Grok 3 | grok 3 | ₽234/M | ₽1 169/M | ₽10 524 |
| sonar pro | perplexity | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus Latest | Anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| GPT-5.4 Image 2 | OpenAI | ₽624/M | ₽1 169/M | ₽18 320 |
| Fugu Ultra | sakana | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| GPT Chat | gpt chat latest | ₽390/M | ₽2 339/M | ₽19 489 |
| OpenAI GPT Latest | ~openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5 image | openai | ₽780/M | ₽780/M | ₽19 489 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽780/M | ₽2 339/M | ₽27 285 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| o3 deep research | openai | ₽780/M | ₽3 118/M | ₽31 183 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| Claude Fable Latest | Anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 4 | openai | ₽2 339/M | ₽4 677/M | ₽70 161 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| o1 pro | openai | ₽11 694/M | ₽46 774/M | ₽467 741 |
Текст и чат
оплата за токены · 344
▼
Текст и чат
оплата за токены · 344
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.31/M | ₽0.31/M | ₽6 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| bge-base-en-v1.5 | baai | ₽0.39/M | ₽0.39/M | ₽8 |
| E5-Base-v2 | Intfloat | ₽0.39/M | ₽0.39/M | ₽8 |
| GTE-Base | Thenlper | ₽0.39/M | ₽0.39/M | ₽8 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.39/M | ₽0.39/M | ₽8 |
| Bge M3 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| bge-large-en-v1.5 | baai | ₽0.78/M | ₽0.78/M | ₽16 |
| E5-Large-v2 | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| GTE-Large | Thenlper | ₽0.78/M | ₽0.78/M | ₽16 |
| Multilingual-E5-Large | Intfloat | ₽0.78/M | ₽0.78/M | ₽16 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.78/M | ₽0.78/M | ₽16 |
| Ling-2.6-flash | inclusionAI | ₽0.78/M | ₽2.34/M | ₽27 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.56/M | ₽1.56/M | ₽31 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.56/M | ₽2.34/M | ₽43 |
| mistralai · mistral-nemo | mistralai | ₽1.56/M | ₽2.34/M | ₽43 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.34/M | ₽2.34/M | ₽47 |
| granite-4.0-h-micro | ibm granite | ₽1.33/M | ₽8.73/M | ₽70 |
| Llama 3 8B Lunaris | Sao10K | ₽3.12/M | ₽3.90/M | ₽82 |
| lfm-2-24b-a2b | liquid | ₽2.34/M | ₽9.35/M | ₽94 |
| gpt oss 20b | openai | ₽2.26/M | ₽10.91/M | ₽100 |
| Qwen Turbo | qwen turbo | ₽2.53/M | ₽10.13/M | ₽101 |
| qwen 2.5 7b instruct | qwen | ₽3.12/M | ₽7.80/M | ₽101 |
| gpt oss 120b | openai | ₽2.34/M | ₽11.69/M | ₽105 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽3.90/M | ₽6.24/M | ₽109 |
| Nova Micro | amazon | ₽2.73/M | ₽10.91/M | ₽109 |
| command r7b 12 2024 | cohere | ₽2.92/M | ₽11.69/M | ₽117 |
| Gemma 3 4B It | gemma 3 4b it | ₽3.90/M | ₽7.80/M | ₽117 |
| Granite 4.1 8B | IBM | ₽3.90/M | ₽7.80/M | ₽117 |
| Mythomax L2 13B | Gryphe | ₽4.68/M | ₽4.68/M | ₽117 |
| Llama 3.2 1B Preview | meta llama | ₽2.10/M | ₽15.67/M | ₽120 |
| Nemotron Nano 9B V2 | NVIDIA | ₽3.12/M | ₽12.47/M | ₽125 |
| trinity-mini | arcee ai | ₽3.51/M | ₽11.69/M | ₽129 |
| gemma 3 12b it | ₽3.90/M | ₽11.69/M | ₽136 | |
| gemma 3n e4b it | ₽4.68/M | ₽9.35/M | ₽140 | |
| qwen3 30b a3b instruct 2507 | qwen | ₽3.75/M | ₽15.05/M | ₽150 |
| Mistral Embed 2312 | Mistral | ₽7.80/M | ₽7.80/M | ₽156 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽3.90/M | ₽15.59/M | ₽156 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| Phi 4 | Microsoft | ₽5.46/M | ₽10.91/M | ₽164 |
| qwen3 235b a22b 2507 | qwen | ₽7.02/M | ₽7.80/M | ₽179 |
| Hy3 | hy3 | ₽4.91/M | ₽16.37/M | ₽180 |
| Nova Lite | amazon | ₽4.68/M | ₽18.71/M | ₽187 |
| gemma 3 27b it | ₽6.24/M | ₽12.47/M | ₽187 | |
| GLM 4 32B | Z.ai | ₽7.80/M | ₽7.80/M | ₽195 |
| mistralai · ministral-3b-2512 | mistralai | ₽7.80/M | ₽7.80/M | ₽195 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽5.85/M | ₽15.59/M | ₽195 |
| Reka Edge | rekaai | ₽7.80/M | ₽7.80/M | ₽195 |
| Qwen3.5 Flash | qwen3.5 flash | ₽5.07/M | ₽20.27/M | ₽203 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| deepseek v4 flash | deepseek | ₽6.94/M | ₽14.03/M | ₽209 |
| Llama 3.2 3B | llama 3.2 3b | ₽3.97/M | ₽26.12/M | ₽210 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.46/M | ₽21.05/M | ₽214 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| ERNIE 4.5 21B A3B | Baidu | ₽5.46/M | ₽21.83/M | ₽218 |
| gemma 4 26b a4b it | ₽4.68/M | ₽25.73/M | ₽222 | |
| Codestral Embed 2505 | Mistral | ₽11.69/M | ₽11.69/M | ₽234 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽5.85/M | ₽23.39/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| gpt oss safeguard 20b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| laguna-xs.2 | poolside | ₽7.80/M | ₽15.59/M | ₽234 |
| qwen3 32b | qwen | ₽6.24/M | ₽21.83/M | ₽234 |
| Reka Flash 3 | rekaai | ₽7.80/M | ₽15.59/M | ₽234 |
| Seed 1.6 Flash | ByteDance Seed | ₽5.85/M | ₽23.39/M | ₽234 |
| UI-TARS 7B | ByteDance | ₽7.80/M | ₽15.59/M | ₽234 |
| Mistral 7B Instruct v0.1 | Mistral | ₽8.58/M | ₽14.81/M | ₽246 |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| qwen3 14b | qwen | ₽7.80/M | ₽18.71/M | ₽249 |
| Phi 4 Mini Instruct | microsoft | ₽6.24/M | ₽27.28/M | ₽261 |
| Devstral Small 1.1 | Mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Hermes 2 Pro - Llama-3 8B | NousResearch | ₽10.91/M | ₽10.91/M | ₽273 |
| Llama 3 (8B) | llama 3 8b | ₽10.91/M | ₽10.91/M | ₽273 |
| Llama 4 Scout | llama 4 scout | ₽7.80/M | ₽23.39/M | ₽273 |
| mimo v2 flash | xiaomi | ₽7.80/M | ₽23.39/M | ₽273 |
| mimo v2.5 | mimo v2.5 | ₽8.19/M | ₽21.83/M | ₽273 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| Voxtral Small 24B 2507 | Mistral | ₽7.80/M | ₽23.39/M | ₽273 |
| Llama 3.3 70B | llama 3.3 70b | ₽7.80/M | ₽24.95/M | ₽281 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽6.63/M | ₽31.18/M | ₽288 |
| mistralai · ministral-8b-2512 | mistralai | ₽11.69/M | ₽11.69/M | ₽292 |
| Rnj 1 Instruct | EssentialAI | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽7.80/M | ₽31.18/M | ₽312 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| Seed-2.0-Mini | ByteDance Seed | ₽7.80/M | ₽31.18/M | ₽312 |
| Tongyi DeepResearch 30B A3B | alibaba | ₽7.02/M | ₽35.08/M | ₽316 |
| gemma 4 31b it | ₽9.35/M | ₽27.28/M | ₽324 | |
| qwen3 vl 32b instruct | qwen | ₽8.11/M | ₽32.43/M | ₽324 |
| llama guard 4 12b | meta llama | ₽14.03/M | ₽14.03/M | ₽351 |
| Spotlight | Arcee AI | ₽14.03/M | ₽14.03/M | ₽351 |
| Hermes 4 70B | Nous | ₽10.13/M | ₽31.18/M | ₽359 |
| qwen3 8b | qwen | ₽9.12/M | ₽35.47/M | ₽360 |
| qwen3 vl 8b instruct | qwen | ₽9.12/M | ₽35.47/M | ₽360 |
| Ling-2.6-1T | inclusionAI | ₽5.85/M | ₽48.72/M | ₽361 |
| Ring-2.6-1T | inclusionAI | ₽5.85/M | ₽48.72/M | ₽361 |
| qwen vl plus | qwen vl plus | ₽10.64/M | ₽31.92/M | ₽372 |
| minimax m2.5 | minimax | ₽9.35/M | ₽37.42/M | ₽374 |
| qwen3 30b a3b | qwen | ₽9.35/M | ₽38.98/M | ₽382 |
| mistralai · ministral-14b-2512 | mistralai | ₽15.59/M | ₽15.59/M | ₽390 |
| DeepSeek V3.1 Nex N1 | Nex AGI | ₽10.52/M | ₽38.98/M | ₽405 |
| qwen3 vl 30b a3b instruct | qwen | ₽10.13/M | ₽40.54/M | ₽405 |
| Trinity Large Preview | Arcee AI | ₽11.69/M | ₽35.08/M | ₽409 |
| olmo-3-32b-think | allenai | ₽11.69/M | ₽38.98/M | ₽429 |
| ERNIE 4.5 VL 28B A3B | Baidu | ₽10.91/M | ₽43.66/M | ₽437 |
| hunyuan a13b | hunyuan a13b | ₽10.91/M | ₽44.44/M | ₽440 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.60/M | ₽60.81/M | ₽456 |
| Command R | command r | ₽11.69/M | ₽46.77/M | ₽468 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Laguna M.1 | Poolside | ₽15.59/M | ₽31.18/M | ₽468 |
| Llama 4 Maverick | llama 4 maverick | ₽11.69/M | ₽46.77/M | ₽468 |
| Mistral Small 4 | Mistral | ₽11.69/M | ₽46.77/M | ₽468 |
| Solar Pro 3 | Upstage | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 coder next | qwen | ₽8.58/M | ₽62.37/M | ₽483 |
| deepseek v3.2 | deepseek | ₽17.84/M | ₽26.75/M | ₽491 |
| Grok 4 | grok 4 | ₽15.59/M | ₽38.98/M | ₽507 |
| grok 4.1 | grok 4.1 | ₽15.59/M | ₽38.98/M | ₽507 |
| glm 4.5 air | z ai | ₽10.13/M | ₽66.26/M | ₽534 |
| mistralai · mistral-saba | mistralai | ₽15.59/M | ₽46.77/M | ₽546 |
| minimax m2.7 | minimax | ₽14.03/M | ₽56.13/M | ₽561 |
| Deepseek R1 Distill Qwen 32b | deepseek | ₽22.61/M | ₽22.61/M | ₽565 |
| Rocinante 12B | TheDrummer | ₽19.49/M | ₽38.98/M | ₽585 |
| qwen3.5 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| qwen3.6 35b a3b | qwen | ₽10.91/M | ₽77.96/M | ₽608 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽22.37/M | ₽33.60/M | ₽615 |
| DeepSeek Chat (V3) | deepseek chat | ₽15.61/M | ₽62.37/M | ₽624 |
| deepseek chat v3.1 | deepseek | ₽16.37/M | ₽61.59/M | ₽635 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽15.59/M | ₽68.60/M | ₽655 |
| Cydonia 24B V4.1 | TheDrummer | ₽23.39/M | ₽38.98/M | ₽663 |
| Grok 3 Mini | grok 3 mini | ₽23.39/M | ₽38.98/M | ₽663 |
| llama 3.2 11b vision:free | meta llama | ₽26.90/M | ₽26.90/M | ₽672 |
| Mercury 2 | Inception | ₽19.49/M | ₽58.47/M | ₽682 |
| qwen3 coder flash | qwen | ₽15.20/M | ₽76.01/M | ₽684 |
| Qwen Plus | qwen plus | ₽20.27/M | ₽60.81/M | ₽709 |
| qwen 2.5 72b instruct | qwen | ₽28.06/M | ₽31.18/M | ₽717 |
| qwen3.6 flash | qwen | ₽14.62/M | ₽87.70/M | ₽731 |
| INTELLECT-3 | Prime Intellect | ₽15.59/M | ₽85.75/M | ₽741 |
| minimax 01 | minimax | ₽15.59/M | ₽85.75/M | ₽741 |
| Step 3.7 Flash | step 3.7 flash | ₽15.59/M | ₽89.65/M | ₽760 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽27.36/M | ₽43.27/M | ₽764 |
| Llama Guard 3 8b | meta | ₽37.73/M | ₽2.34/M | ₽766 |
| llama 3.1 70b | llama 3.1 70b | ₽31.18/M | ₽31.18/M | ₽780 |
| Nex-N2-Pro | Nex AGI | ₽19.49/M | ₽77.96/M | ₽780 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽31.18/M | ₽31.18/M | ₽780 |
| UnslopNemo 12B | TheDrummer | ₽31.18/M | ₽31.18/M | ₽780 |
| deepseek v3.1 terminus | deepseek | ₽21.05/M | ₽74.06/M | ₽791 |
| minimax m2 | minimax | ₽19.88/M | ₽79.52/M | ₽795 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| qwen3 235b a22b | qwen | ₽11.65/M | ₽117/M | ₽816 |
| Perceptron Mk1 | Perceptron | ₽11.69/M | ₽117/M | ₽819 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| mistralai · codestral-2508 | mistralai | ₽23.39/M | ₽70.16/M | ₽819 |
| ERNIE 4.5 300B A47B | baidu | ₽21.83/M | ₽85.75/M | ₽865 |
| Claude 3 Haiku | Anthropic | ₽19.49/M | ₽97.45/M | ₽877 |
| Grok Code Fast 1 | grok code fast 1 | ₽15.59/M | ₽117/M | ₽897 |
| DeepSeek R1T2 Chimera | TNG | ₽23.39/M | ₽85.75/M | ₽897 |
| qwen3.5 27b | qwen | ₽15.20/M | ₽122/M | ₽912 |
| KAT-Coder-Pro V1 | kwaipilot | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2 her | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| ReMM SLERP 13B | undi95 | ₽35.08/M | ₽50.67/M | ₽955 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| qwen3.7 plus | qwen | ₽24.95/M | ₽99.78/M | ₽998 |
| qwen3.5 plus | qwen3.5 plus | ₽20.27/M | ₽122/M | ₽1 013 |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| qwen3 coder | qwen | ₽17.15/M | ₽140/M | ₽1 045 |
| LLama 3 (70B) | llama 3 70b | ₽39.76/M | ₽57.69/M | ₽1 084 |
| Coder Large | Arcee AI | ₽38.98/M | ₽62.37/M | ₽1 091 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽32.74/M | ₽97.45/M | ₽1 142 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 | ByteDance Seed | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed-2.0-Lite | ByteDance Seed | ₽19.49/M | ₽156/M | ₽1 169 |
| Skyfall 36B V2 | TheDrummer | ₽42.88/M | ₽62.37/M | ₽1 169 |
| WizardLM-2 8x22B | microsoft | ₽48.33/M | ₽48.33/M | ₽1 208 |
| qwen3.5 122b a10b | qwen | ₽20.27/M | ₽162/M | ₽1 216 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| gemma 2 27b it | ₽50.67/M | ₽50.67/M | ₽1 267 | |
| qwen3.6 plus | qwen | ₽25.34/M | ₽152/M | ₽1 267 |
| glm 4.7 | z ai | ₽31.18/M | ₽136/M | ₽1 306 |
| Llama 3.3 Euryale 70B | Sao10K | ₽50.67/M | ₽58.47/M | ₽1 306 |
| glm 4.6 | z ai | ₽33.52/M | ₽136/M | ₽1 349 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Hermes 3 70B Instruct | Nous | ₽54.57/M | ₽54.57/M | ₽1 364 |
| Mistral Large 3 2512 | Mistral | ₽38.98/M | ₽117/M | ₽1 364 |
| Kimi K2.5 | kimi k2.5 | ₽29.23/M | ₽158/M | ₽1 374 |
| qwen3.6 27b | qwen | ₽22.22/M | ₽187/M | ₽1 380 |
| Devstral Medium | Mistral | ₽31.18/M | ₽156/M | ₽1 403 |
| mimo v2 omni | mimo v2 omni | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · devstral-2512 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · mistral-medium-3 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| mistralai · mistral-medium-3.1 | mistralai | ₽31.18/M | ₽156/M | ₽1 403 |
| qwen 2.5 coder 32b instruct | qwen | ₽51.45/M | ₽77.96/M | ₽1 419 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| gemini 2.5 flash image | ₽23.39/M | ₽195/M | ₽1 442 | |
| Nova 2 Lite | amazon | ₽23.39/M | ₽195/M | ₽1 442 |
| minimax m1 | minimax | ₽31.18/M | ₽172/M | ₽1 481 |
| qwen3.5 397b a17b | qwen | ₽30.01/M | ₽191/M | ₽1 555 |
| deepseek r1 distill llama 70b | deepseek | ₽62.37/M | ₽62.37/M | ₽1 559 |
| Weaver (alpha) | Mancer | ₽58.47/M | ₽77.96/M | ₽1 559 |
| DeepSeek R1 | deepseek r1 | ₽38.98/M | ₽168/M | ₽1 618 |
| qwen vl max | qwen vl max | ₽40.54/M | ₽162/M | ₽1 622 |
| aion-1.0-mini | aion labs | ₽54.57/M | ₽109/M | ₽1 637 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| Nemotron 3 Ultra | NVIDIA | ₽38.98/M | ₽172/M | ₽1 637 |
| qwen2.5 vl 72b instruct | qwen | ₽62.37/M | ₽77.96/M | ₽1 637 |
| Virtuoso Large | Arcee AI | ₽58.47/M | ₽93.55/M | ₽1 637 |
| Llama 3.1 Euryale 70B v2.2 | Sao10K | ₽66.26/M | ₽66.26/M | ₽1 657 |
| GLM-5 | glm 5 | ₽46.77/M | ₽150/M | ₽1 684 |
| CodeLLaMa 7B Instruct Solidity | AlfredPros | ₽62.37/M | ₽93.55/M | ₽1 715 |
| morph · morph-v3-fast | morph | ₽62.37/M | ₽93.55/M | ₽1 715 |
| Kimi K2 | kimi k2 | ₽44.44/M | ₽179/M | ₽1 785 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| Relace Apply 3 | Relace | ₽66.26/M | ₽97.45/M | ₽1 812 |
| Aion-2.0 | AionLabs | ₽62.37/M | ₽125/M | ₽1 871 |
| Aion-RP 1.0 (8B) | AionLabs | ₽62.37/M | ₽125/M | ₽1 871 |
| gpt audio mini | openai | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| gemini 3.1 flash image | ₽38.98/M | ₽234/M | ₽1 949 | |
| Hermes 3 405B Instruct | Nous | ₽77.96/M | ₽77.96/M | ₽1 949 |
| Sonar | perplexity | ₽77.96/M | ₽77.96/M | ₽1 949 |
| morph · morph-v3-large | morph | ₽70.16/M | ₽148/M | ₽2 144 |
| Qianfan-OCR-Fast | Baidu | ₽53.01/M | ₽219/M | ₽2 156 |
| qwen3 coder plus | qwen | ₽50.67/M | ₽253/M | ₽2 280 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| kimi k2.6 | moonshotai | ₽51.45/M | ₽266/M | ₽2 358 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽51.45/M | ₽266/M | ₽2 358 |
| Cogito v2.1 671B | Deep Cogito | ₽97.45/M | ₽97.45/M | ₽2 436 |
| Nova Pro | amazon | ₽62.37/M | ₽249/M | ₽2 495 |
| kimi k2.7 code | moonshotai | ₽57.69/M | ₽273/M | ₽2 518 |
| glm 5.2 | z ai | ₽72.50/M | ₽234/M | ₽2 619 |
| router | switchpoint | ₽66.26/M | ₽265/M | ₽2 651 |
| Maestro Reasoning | Arcee AI | ₽70.16/M | ₽257/M | ₽2 690 |
| Hermes 4 405B | nousresearch | ₽77.96/M | ₽234/M | ₽2 728 |
| mimo v2 pro | mimo v2 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| relace · relace-search | relace | ₽77.96/M | ₽234/M | ₽2 728 |
| Qwen3 Max | qwen3 max | ₽60.81/M | ₽304/M | ₽2 736 |
| Claude 3.5 Haiku | Anthropic | ₽62.37/M | ₽312/M | ₽2 806 |
| Llama 3 Euryale 70B v2.1 | Sao10k | ₽115/M | ₽115/M | ₽2 884 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| grok 4.20 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| OpenAI GPT Mini Latest | ~openai | ₽58.47/M | ₽351/M | ₽2 923 |
| glm 5.1 | z ai | ₽76.01/M | ₽335/M | ₽3 196 |
| Qwen Max | qwen max | ₽81.08/M | ₽324/M | ₽3 243 |
| Palmyra X5 | Writer | ₽46.77/M | ₽468/M | ₽3 274 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| glm 5 turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| glm 5v turbo | z ai | ₽93.55/M | ₽312/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o4 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽77.96/M | ₽390/M | ₽3 508 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| Qwen3.6 Max | Qwen3.6 Max | ₽81.08/M | ₽486/M | ₽4 054 |
| gpt 5 image mini | openai | ₽195/M | ₽156/M | ₽4 677 |
| mistralai · mistral-medium-3-5 | mistralai | ₽117/M | ₽585/M | ₽5 262 |
| Mistral Large 2407 | Mistral large 2407 | ₽156/M | ₽468/M | ₽5 457 |
| Mistral Large 2411 | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| mistralai · mistral-large | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽156/M | ₽468/M | ₽5 457 |
| Pixtral Large 2411 | Mistral | ₽156/M | ₽468/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| Google Gemini Flash Latest | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex max | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| Llama 3.1 70B Hanami x1 | Sao10K | ₽234/M | ₽234/M | ₽5 847 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽312/M | ₽6 237 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| Jamba Large 1.7 | AI21 | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| o4 mini deep research | openai | ₽156/M | ₽624/M | ₽6 237 |
| sonar deep research | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| sonar reasoning pro | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| Magnum v4 72B | anthracite org | ₽234/M | ₽390/M | ₽6 626 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽156/M | ₽780/M | ₽7 016 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| gemini 3.1 pro preview customtools | ₽156/M | ₽935/M | ₽7 796 | |
| Google Gemini Pro Latest | ₽156/M | ₽935/M | ₽7 796 | |
| Cohere Command A | cohere command a | ₽195/M | ₽780/M | ₽7 796 |
| Command R Plus | command r plus | ₽195/M | ₽780/M | ₽7 796 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽195/M | ₽780/M | ₽7 796 |
| gpt audio | openai | ₽195/M | ₽780/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| Inflection 3 Pi | Inflection | ₽195/M | ₽780/M | ₽7 796 |
| Inflection 3 Productivity | Inflection | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Goliath 120B | alpindale | ₽292/M | ₽585/M | ₽8 770 |
| Nova Premier 1.0 | Amazon | ₽195/M | ₽974/M | ₽8 770 |
| aion-1.0 | aion labs | ₽312/M | ₽624/M | ₽9 355 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4 | claude sonnet 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Grok 3 | grok 3 | ₽234/M | ₽1 169/M | ₽10 524 |
| sonar pro | perplexity | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus Latest | Anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| GPT-5.4 Image 2 | OpenAI | ₽624/M | ₽1 169/M | ₽18 320 |
| Fugu Ultra | sakana | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| GPT Chat | gpt chat latest | ₽390/M | ₽2 339/M | ₽19 489 |
| OpenAI GPT Latest | ~openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5 image | openai | ₽780/M | ₽780/M | ₽19 489 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽780/M | ₽2 339/M | ₽27 285 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| o3 deep research | openai | ₽780/M | ₽3 118/M | ₽31 183 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| Claude Fable Latest | Anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 4 | openai | ₽2 339/M | ₽4 677/M | ₽70 161 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| o1 pro | openai | ₽11 694/M | ₽46 774/M | ₽467 741 |
Цена не сходится или нашли ошибку?
KodikRouter предлагает 344 моделей AI API. Средняя цена — ₽272/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.31/M (pplx-embed-v1-0.6b).
Сравните цены на pplx-embed-v1-0.6b , all-MiniLM-L12-v2 , all-MiniLM-L6-v2 , all-mpnet-base-v2 и bge-base-en-v1.5 у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.