DMX API
Сайт ↗DMXAPI.com — USD-витрина New API (юани на dmxapi.cn)
- Моделей
- 235
- Средняя цена
- ₽994/M
- Регион
- Зарубежный · сайт на китайский и английский
- Оплата
- USD (Stripe на dmxapi.com), CNY (на dmxapi.cn)
- Биллинг
- за токены
- API
- OpenAI-compatible
dmxapi.com — USD; для юаней используйте dmxapi.cn · Ratio-модели — см. блок «Как считаются цены» · 401 при несовпадении ключа и домена (.cn vs .com)
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 = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
233 моделей
Текст и чат
оплата за токены · 206
▼
Текст и чат
оплата за токены · 206
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| qwen coder turbo | qwen coder turbo | ₽3.32/M | ₽0.02/M | ₽66 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽2.49/M | ₽4.98/M | ₽75 |
| Qwen Turbo | qwen turbo | ₽3.32/M | ₽6.64/M | ₽100 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.98/M | ₽9.96/M | ₽149 |
| Qwen Flash | alibaba | ₽2.49/M | ₽24.90/M | ₽174 |
| Qwen Long | qwen long | ₽4.98/M | ₽19.92/M | ₽199 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| hunyuan standard | hunyuan standard | ₽9.96/M | ₽9.96/M | ₽249 |
| hunyuan standard 256K | hunyuan standard 256K | ₽9.96/M | ₽9.96/M | ₽249 |
| Doubao Lite 128K | Doubao lite 128k | ₽9.96/M | ₽12.45/M | ₽261 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| Yi Lightning | yi lightning | ₽11.62/M | ₽11.62/M | ₽290 |
| Doubao Pro 4K | Doubao pro 4k | ₽9.96/M | ₽24.90/M | ₽324 |
| qwen3.5 397b a17b | qwen | ₽6.64/M | ₽39.84/M | ₽332 |
| qwen3.5 plus | qwen3.5 plus | ₽6.64/M | ₽39.84/M | ₽332 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 8b | qwen | ₽8.30/M | ₽33.20/M | ₽332 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽10.62/M | ₽26.56/M | ₽345 |
| Vendor A · Qwen · Qwen2-72B-Instruct | Vendor A | ₽14.94/M | ₽14.94/M | ₽373 |
| gpt oss 120b | openai | ₽8.30/M | ₽41.50/M | ₽373 |
| deepseek v4 flash | deepseek | ₽13.11/M | ₽26.23/M | ₽393 |
| qwen3 30b a3b instruct 2507 | qwen | ₽9.84/M | ₽39.34/M | ₽393 |
| qwen3.5 35b a3b | qwen | ₽6.64/M | ₽53.12/M | ₽398 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽37.35/M | ₽436 |
| Qwen Plus | qwen plus | ₽14.11/M | ₽35.27/M | ₽459 |
| Baichuan4 Air | Baichuan4 Air | ₽19.92/M | ₽19.92/M | ₽498 |
| JoyAI LLM Flash | JoyAI LLM Flash | ₽12.45/M | ₽49.80/M | ₽498 |
| Grok 4 | grok 4 | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| grok 4.1 | grok 4.1 | ₽16.60/M | ₽41.50/M | ₽539 |
| grok 4.1 non thinking | grok 4.1 non thinking | ₽16.60/M | ₽41.50/M | ₽539 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽21.58/M | ₽21.58/M | ₽539 |
| Jina Reranker M0 | jina reranker m0 | ₽21.58/M | ₽21.58/M | ₽539 |
| GLM 4 Long | GLM 4 Long | ₽23.24/M | ₽23.24/M | ₽581 |
| abab6 chat | abab6 chat | ₽24.90/M | ₽24.90/M | ₽622 |
| abab6.5s chat | abab6.5s chat | ₽24.90/M | ₽24.90/M | ₽622 |
| qwq plus | qwq plus | ₽19.92/M | ₽49.80/M | ₽647 |
| hunyuan a13b | hunyuan a13b | ₽16.60/M | ₽66.40/M | ₽664 |
| qwen3 14b | qwen | ₽16.60/M | ₽66.40/M | ₽664 |
| Doubao Pro 32K | Doubao pro 32k | ₽20.75/M | ₽51.87/M | ₽674 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽41.58/M | ₽706 |
| deepseek v3.2 | deepseek | ₽26.23/M | ₽39.34/M | ₽721 |
| qwen3.5 122b a10b | qwen | ₽13.28/M | ₽106/M | ₽797 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| Qwq 32b | qwen | ₽24.90/M | ₽74.70/M | ₽871 |
| DeepSeek Chat (V3) | deepseek chat | ₽33.20/M | ₽49.80/M | ₽913 |
| doubao seed 1 8 251215 | doubao seed 1 8 251215 | ₽13.28/M | ₽133/M | ₽930 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽13.28/M | ₽133/M | ₽930 |
| gemini 3.1 flash lite | ₽20.75/M | ₽104/M | ₽934 | |
| Grok Code Fast 1 | grok code fast 1 | ₽16.60/M | ₽124/M | ₽954 |
| DMXAPI HuoShan DeepSeek V3 | DMXAPI HuoShan DeepSeek V3 | ₽26.23/M | ₽105/M | ₽1 049 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Qwen3-Omni Flash | alibaba | ₽29.88/M | ₽115/M | ₽1 170 |
| DMXAPI DeepSeek R1 32b | DMXAPI DeepSeek R1 32b | ₽29.88/M | ₽120/M | ₽1 195 |
| MiniMax Text 01 | MiniMax Text 01 | ₽19.92/M | ₽159/M | ₽1 195 |
| qwen math plus | qwen math plus | ₽49.80/M | ₽43.32/M | ₽1 213 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽83.00/M | ₽1 245 |
| deepseek v4 pro | deepseek | ₽42.33/M | ₽84.66/M | ₽1 270 |
| DMXAPI DeepSeek V3 | DMXAPI DeepSeek V3 | ₽33.20/M | ₽133/M | ₽1 328 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽33.20/M | ₽133/M | ₽1 328 |
| glm 4.6 | z ai | ₽33.20/M | ₽133/M | ₽1 328 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| qwen3 32b | qwen | ₽33.20/M | ₽133/M | ₽1 328 |
| minimax m2.1 | minimax | ₽34.86/M | ₽139/M | ₽1 394 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽56.44/M | ₽56.44/M | ₽1 411 |
| Qwen2 72B Instruct | Qwen | ₽58.10/M | ₽58.10/M | ₽1 452 |
| bot 20250306214845 zh52k | bot 20250306214845 zh52k | ₽36.52/M | ₽146/M | ₽1 461 |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Gemini 3 Flash | gemini 3 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 3 flash preview minimal | gemini 3 flash preview minimal | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽41.50/M | ₽166/M | ₽1 660 |
| Llama 3.3 70B | llama 3.3 70b | ₽66.40/M | ₽66.40/M | ₽1 660 |
| yi vision v2 | yi vision v2 | ₽69.72/M | ₽69.72/M | ₽1 743 |
| DMXAPI DeepSeek R1 70b | DMXAPI DeepSeek R1 70b | ₽71.38/M | ₽71.38/M | ₽1 784 |
| DeepSeek R1 | deepseek r1 | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek V3 | deepseek search | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek-V3 | deepseek ai | ₽44.82/M | ₽179/M | ₽1 793 |
| deepseek v3.1 | deepseek v3.1 | ₽52.45/M | ₽157/M | ₽1 836 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.50/M | ₽207/M | ₽1 867 |
| NJMX deepseek chat | NJMX deepseek chat | ₽49.80/M | ₽199/M | ₽1 992 |
| qwen3 coder plus | qwen | ₽49.80/M | ₽199/M | ₽1 992 |
| GLM-4 Plus | glm 4 plus | ₽83.00/M | ₽83.00/M | ₽2 075 |
| DMXAPI HuoShan DeepSeek R1 671B 64k | DMXAPI HuoShan DeepSeek R1 671B 64k | ₽52.45/M | ₽210/M | ₽2 098 |
| glm 4.7 | z ai | ₽49.80/M | ₽234/M | ₽2 166 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽91.30/M | ₽91.30/M | ₽2 282 |
| minimax m1 80k | minimax m1 80k | ₽33.20/M | ₽332/M | ₽2 324 |
| Qwen Max | qwen max | ₽58.10/M | ₽232/M | ₽2 324 |
| TY deepseek v3 | TY deepseek v3 | ₽58.10/M | ₽232/M | ₽2 324 |
| qwen 2.5 72b instruct | qwen | ₽66.40/M | ₽199/M | ₽2 324 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽74.70/M | ₽224/M | ₽2 614 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽66.40/M | ₽266/M | ₽2 656 |
| deepseek r1 250528 | deepseek r1 250528 | ₽66.40/M | ₽266/M | ₽2 656 |
| DMXAPI DeepSeek R1 | DMXAPI DeepSeek R1 | ₽66.40/M | ₽266/M | ₽2 656 |
| Kimi K2 | kimi k2 | ₽66.40/M | ₽266/M | ₽2 656 |
| Qwen3 235B A22B Instruct | alibaba | ₽66.40/M | ₽266/M | ₽2 656 |
| ERNIE 5.0 | ernie 5.0 | ₽68.06/M | ₽272/M | ₽2 722 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 843 |
| Claude 3.5 Haiku | Anthropic | ₽66.40/M | ₽332/M | ₽2 988 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽74.70/M | ₽299/M | ₽2 988 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| gpt image 1 mini | openai | ₽93.37/M | ₽261/M | ₽3 175 |
| hunyuan large | hunyuan large | ₽91.30/M | ₽274/M | ₽3 195 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽83.00/M | ₽332/M | ₽3 320 |
| Doubao Pro 128K | Doubao pro 128k | ₽120/M | ₽215/M | ₽3 466 |
| gpt 5 codex | openai | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex high | gpt 5 codex high | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex low | gpt 5 codex low | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex medium | gpt 5 codex medium | ₽60.59/M | ₽485/M | ₽3 635 |
| O1 Mini | o1 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| DMXAPI DeepSeek R1 long | DMXAPI DeepSeek R1 long | ₽92.96/M | ₽372/M | ₽3 718 |
| gpt 4.1 mini xc | gpt 4.1 mini xc | ₽99.60/M | ₽398/M | ₽3 984 |
| NJMX deepseek r1 | NJMX deepseek r1 | ₽99.60/M | ₽398/M | ₽3 984 |
| qwen3 235b a22b | qwen | ₽66.40/M | ₽664/M | ₽4 648 |
| TY deepseek r1 | TY deepseek r1 | ₽116/M | ₽465/M | ₽4 648 |
| glm 5.2 | z ai | ₽133/M | ₽465/M | ₽4 980 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| claude sonnet 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| grok 4.2 | grok 4.2 | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex mini | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| Qwen3 Max | qwen3 max | ₽166/M | ₽664/M | ₽6 640 |
| step 1.5v mini | step 1.5v mini | ₽166/M | ₽747/M | ₽7 055 |
| GLM Zero Preview | glm zero preview | ₽290/M | ₽290/M | ₽7 262 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽332/M | ₽332/M | ₽8 300 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| vip test | vip test | ₽332/M | ₽332/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 High | gpt 5.2 high | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 Low | gpt 5.2 low | ₽145/M | ₽1 162/M | ₽8 715 |
| qwen2.5 vl 72b instruct | qwen | ₽266/M | ₽797/M | ₽9 296 |
| Claude Opus 4.5 | claude opus 4 5 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.6 | claude opus 4 6 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 | claude opus 4 7 | ₽207/M | ₽1 037/M | ₽9 337 |
| claude opus 5 | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.00/M | ₽1 660/M | ₽9 960 |
| kimi k3 | moonshotai | ₽227/M | ₽1 137/M | ₽10 234 |
| gpt 5.5 cdx | gpt 5.5 cdx | ₽206/M | ₽1 236/M | ₽10 300 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| step 1v 32k | step 1v 32k | ₽249/M | ₽1 163/M | ₽10 794 |
| Bge M3 | baai | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| DMXAPI cls45 0929 | DMXAPI cls45 0929 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 3 | grok 3 | ₽249/M | ₽1 245/M | ₽11 205 |
| hunyuan pro | hunyuan pro | ₽342/M | ₽1 142/M | ₽12 550 |
| deepseek r1 plus | deepseek r1 plus | ₽332/M | ₽1 328/M | ₽13 280 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽324/M | ₽1 618/M | ₽14 566 |
| claude fable 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| gpt 4.1 xc | gpt 4.1 xc | ₽498/M | ₽1 992/M | ₽19 919 |
| Qwen Max Longcontext | qwen max longcontext | ₽498/M | ₽1 992/M | ₽19 919 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 2 | gpt image 2 | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 1.5 | openai | ₽415/M | ₽2 656/M | ₽21 579 |
| step 1o vision 32k | step 1o vision 32k | ₽498/M | ₽2 326/M | ₽21 588 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽622/M | ₽1 867/M | ₽21 787 |
| gpt image 1 | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| Step 2 16K | step 2 16k | ₽830/M | ₽2 490/M | ₽29 049 |
| GLM 4 | glm 4 | ₽1 186/M | ₽1 186/M | ₽29 643 |
| Baichuan4 | Baichuan4 | ₽2 075/M | ₽2 075/M | ₽51 874 |
| Claude 3 Opus | claude 3 opus | ₽1 245/M | ₽6 225/M | ₽56 023 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| whisper 1 | openai | ₽2 490/M | ₽2 490/M | ₽62 248 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| Bge Reranker V2 M3 | BAAI | ₽6 225/M | ₽6 225/M | ₽155 621 |
| deepseek v3.1 terminus | deepseek | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan 2.0 instruct 20251111 | hunyuan 2.0 instruct 20251111 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan t1 | hunyuan t1 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan vision | hunyuan vision | ₽6 225/M | ₽6 225/M | ₽155 621 |
| kimi k2.1 instruct | kimi k2.1 instruct | ₽6 225/M | ₽6 225/M | ₽155 621 |
| minimax m2 | minimax | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 coder 480b | qwen3 coder 480b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt image 2 03 | gpt image 2 03 | ₽6 225/M | ₽12 450/M | ₽186 745 |
| gpt 5.6 luna | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 luna cdx | gpt 5.6 luna cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 sol | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 sol cdx | gpt 5.6 sol cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 terra | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 terra cdx | gpt 5.6 terra cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
Изображения
за изображение · 9
▼
Изображения
за изображение · 9
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽1.24/изобр. |
| gemini 2.5 flash image | ₽1.24/изобр. | |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽2.49/изобр. |
| flux kontext pro | flux kontext pro | ₽3.32/изобр. |
| Qwen Image | alibaba | ₽3.32/изобр. |
| gpt 4o image | gpt 4o image | ₽4.15/изобр. |
| Flux Kontext Max | flux kontext max | ₽6.64/изобр. |
| Imagen4 | imagen4 | ₽8.30/изобр. |
| gemini 3 pro image | ₽16.60/изобр. |
За запрос
фиксированная цена за вызов · 6
▼
За запрос
фиксированная цена за вызов · 6
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.04/вызов |
| g3p 03 | g3p 03 | ₽4.98/вызов |
| gemini 3.1 flash image | ₽4.98/вызов | |
| O1 | o1 | ₽5.81/вызов |
| tts pro | tts pro | ₽9.13/вызов |
| grok imagine 0.9 | grok imagine 0.9 | ₽16.60/вызов |
Без публичной цены
нет данных в открытых источниках · 12
▼
Без публичной цены
нет данных в открытых источниках · 12
| Модель | Maker | Примечание |
|---|---|---|
| ERNIE Speed 128K | ERNIE Speed 128K | — |
| ERNIE Tiny 8K | ERNIE Tiny 8K | — |
| glm 4 9b chat | THUDM | — |
| GLM 4 Flash | glm 4 flash | — |
| glm 4.5 flash | glm 4.5 flash | — |
| GLM 4V Flash | GLM 4V Flash | — |
| hunyuan lite | hunyuan lite | — |
| Janus Pro 7B | deepseek ai | — |
| Llama 3.1 8B | llama 3.1 8b | — |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | — |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | — |
| Yi 1.5 9B Chat 16K | 01 ai | — |
Текст и чат
оплата за токены · 206
▼
Текст и чат
оплата за токены · 206
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.66/M | ₽1.66/M | ₽41 |
| qwen coder turbo | qwen coder turbo | ₽3.32/M | ₽0.02/M | ₽66 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽2.49/M | ₽4.98/M | ₽75 |
| Qwen Turbo | qwen turbo | ₽3.32/M | ₽6.64/M | ₽100 |
| Doubao Lite 32K | Doubao lite 32k | ₽4.98/M | ₽9.96/M | ₽149 |
| Doubao Lite 4K | Doubao lite 4k | ₽4.98/M | ₽9.96/M | ₽149 |
| Qwen Flash | alibaba | ₽2.49/M | ₽24.90/M | ₽174 |
| Qwen Long | qwen long | ₽4.98/M | ₽19.92/M | ₽199 |
| Text Embedding ADA | text embedding ada | ₽8.30/M | ₽8.30/M | ₽207 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| hunyuan standard | hunyuan standard | ₽9.96/M | ₽9.96/M | ₽249 |
| hunyuan standard 256K | hunyuan standard 256K | ₽9.96/M | ₽9.96/M | ₽249 |
| Doubao Lite 128K | Doubao lite 128k | ₽9.96/M | ₽12.45/M | ₽261 |
| text embedding 3 large | openai | ₽10.79/M | ₽10.79/M | ₽270 |
| Yi Lightning | yi lightning | ₽11.62/M | ₽11.62/M | ₽290 |
| Doubao Pro 4K | Doubao pro 4k | ₽9.96/M | ₽24.90/M | ₽324 |
| qwen3.5 397b a17b | qwen | ₽6.64/M | ₽39.84/M | ₽332 |
| qwen3.5 plus | qwen3.5 plus | ₽6.64/M | ₽39.84/M | ₽332 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽8.30/M | ₽33.20/M | ₽332 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 8b | qwen | ₽8.30/M | ₽33.20/M | ₽332 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽10.62/M | ₽26.56/M | ₽345 |
| Vendor A · Qwen · Qwen2-72B-Instruct | Vendor A | ₽14.94/M | ₽14.94/M | ₽373 |
| gpt oss 120b | openai | ₽8.30/M | ₽41.50/M | ₽373 |
| deepseek v4 flash | deepseek | ₽13.11/M | ₽26.23/M | ₽393 |
| qwen3 30b a3b instruct 2507 | qwen | ₽9.84/M | ₽39.34/M | ₽393 |
| qwen3.5 35b a3b | qwen | ₽6.64/M | ₽53.12/M | ₽398 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽37.35/M | ₽436 |
| Qwen Plus | qwen plus | ₽14.11/M | ₽35.27/M | ₽459 |
| Baichuan4 Air | Baichuan4 Air | ₽19.92/M | ₽19.92/M | ₽498 |
| JoyAI LLM Flash | JoyAI LLM Flash | ₽12.45/M | ₽49.80/M | ₽498 |
| Grok 4 | grok 4 | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.60/M | ₽41.50/M | ₽539 |
| grok 4.1 | grok 4.1 | ₽16.60/M | ₽41.50/M | ₽539 |
| grok 4.1 non thinking | grok 4.1 non thinking | ₽16.60/M | ₽41.50/M | ₽539 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽21.58/M | ₽21.58/M | ₽539 |
| Jina Reranker M0 | jina reranker m0 | ₽21.58/M | ₽21.58/M | ₽539 |
| GLM 4 Long | GLM 4 Long | ₽23.24/M | ₽23.24/M | ₽581 |
| abab6 chat | abab6 chat | ₽24.90/M | ₽24.90/M | ₽622 |
| abab6.5s chat | abab6.5s chat | ₽24.90/M | ₽24.90/M | ₽622 |
| qwq plus | qwq plus | ₽19.92/M | ₽49.80/M | ₽647 |
| hunyuan a13b | hunyuan a13b | ₽16.60/M | ₽66.40/M | ₽664 |
| qwen3 14b | qwen | ₽16.60/M | ₽66.40/M | ₽664 |
| Doubao Pro 32K | Doubao pro 32k | ₽20.75/M | ₽51.87/M | ₽674 |
| Grok 3 Mini | grok 3 mini | ₽24.90/M | ₽41.58/M | ₽706 |
| deepseek v3.2 | deepseek | ₽26.23/M | ₽39.34/M | ₽721 |
| qwen3.5 122b a10b | qwen | ₽13.28/M | ₽106/M | ₽797 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| Qwq 32b | qwen | ₽24.90/M | ₽74.70/M | ₽871 |
| DeepSeek Chat (V3) | deepseek chat | ₽33.20/M | ₽49.80/M | ₽913 |
| doubao seed 1 8 251215 | doubao seed 1 8 251215 | ₽13.28/M | ₽133/M | ₽930 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽13.28/M | ₽133/M | ₽930 |
| gemini 3.1 flash lite | ₽20.75/M | ₽104/M | ₽934 | |
| Grok Code Fast 1 | grok code fast 1 | ₽16.60/M | ₽124/M | ₽954 |
| DMXAPI HuoShan DeepSeek V3 | DMXAPI HuoShan DeepSeek V3 | ₽26.23/M | ₽105/M | ₽1 049 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽33.20/M | ₽99.60/M | ₽1 162 |
| Qwen3-Omni Flash | alibaba | ₽29.88/M | ₽115/M | ₽1 170 |
| DMXAPI DeepSeek R1 32b | DMXAPI DeepSeek R1 32b | ₽29.88/M | ₽120/M | ₽1 195 |
| MiniMax Text 01 | MiniMax Text 01 | ₽19.92/M | ₽159/M | ₽1 195 |
| qwen math plus | qwen math plus | ₽49.80/M | ₽43.32/M | ₽1 213 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽83.00/M | ₽1 245 |
| deepseek v4 pro | deepseek | ₽42.33/M | ₽84.66/M | ₽1 270 |
| DMXAPI DeepSeek V3 | DMXAPI DeepSeek V3 | ₽33.20/M | ₽133/M | ₽1 328 |
| Doubao 1.5 Thinking Pro | Doubao 1.5 thinking pro | ₽33.20/M | ₽133/M | ₽1 328 |
| glm 4.6 | z ai | ₽33.20/M | ₽133/M | ₽1 328 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| qwen3 32b | qwen | ₽33.20/M | ₽133/M | ₽1 328 |
| minimax m2.1 | minimax | ₽34.86/M | ₽139/M | ₽1 394 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽56.44/M | ₽56.44/M | ₽1 411 |
| Qwen2 72B Instruct | Qwen | ₽58.10/M | ₽58.10/M | ₽1 452 |
| bot 20250306214845 zh52k | bot 20250306214845 zh52k | ₽36.52/M | ₽146/M | ₽1 461 |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Gemini 3 Flash | gemini 3 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 3 flash preview minimal | gemini 3 flash preview minimal | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽41.50/M | ₽166/M | ₽1 660 |
| Llama 3.3 70B | llama 3.3 70b | ₽66.40/M | ₽66.40/M | ₽1 660 |
| yi vision v2 | yi vision v2 | ₽69.72/M | ₽69.72/M | ₽1 743 |
| DMXAPI DeepSeek R1 70b | DMXAPI DeepSeek R1 70b | ₽71.38/M | ₽71.38/M | ₽1 784 |
| DeepSeek R1 | deepseek r1 | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek V3 | deepseek search | ₽44.82/M | ₽179/M | ₽1 793 |
| DeepSeek-V3 | deepseek ai | ₽44.82/M | ₽179/M | ₽1 793 |
| deepseek v3.1 | deepseek v3.1 | ₽52.45/M | ₽157/M | ₽1 836 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽41.50/M | ₽207/M | ₽1 867 |
| NJMX deepseek chat | NJMX deepseek chat | ₽49.80/M | ₽199/M | ₽1 992 |
| qwen3 coder plus | qwen | ₽49.80/M | ₽199/M | ₽1 992 |
| GLM-4 Plus | glm 4 plus | ₽83.00/M | ₽83.00/M | ₽2 075 |
| DMXAPI HuoShan DeepSeek R1 671B 64k | DMXAPI HuoShan DeepSeek R1 671B 64k | ₽52.45/M | ₽210/M | ₽2 098 |
| glm 4.7 | z ai | ₽49.80/M | ₽234/M | ₽2 166 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽91.30/M | ₽91.30/M | ₽2 282 |
| minimax m1 80k | minimax m1 80k | ₽33.20/M | ₽332/M | ₽2 324 |
| Qwen Max | qwen max | ₽58.10/M | ₽232/M | ₽2 324 |
| TY deepseek v3 | TY deepseek v3 | ₽58.10/M | ₽232/M | ₽2 324 |
| qwen 2.5 72b instruct | qwen | ₽66.40/M | ₽199/M | ₽2 324 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽74.70/M | ₽224/M | ₽2 614 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽66.40/M | ₽266/M | ₽2 656 |
| deepseek r1 250528 | deepseek r1 250528 | ₽66.40/M | ₽266/M | ₽2 656 |
| DMXAPI DeepSeek R1 | DMXAPI DeepSeek R1 | ₽66.40/M | ₽266/M | ₽2 656 |
| Kimi K2 | kimi k2 | ₽66.40/M | ₽266/M | ₽2 656 |
| Qwen3 235B A22B Instruct | alibaba | ₽66.40/M | ₽266/M | ₽2 656 |
| ERNIE 5.0 | ernie 5.0 | ₽68.06/M | ₽272/M | ₽2 722 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 843 |
| Claude 3.5 Haiku | Anthropic | ₽66.40/M | ₽332/M | ₽2 988 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽74.70/M | ₽299/M | ₽2 988 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| gpt image 1 mini | openai | ₽93.37/M | ₽261/M | ₽3 175 |
| hunyuan large | hunyuan large | ₽91.30/M | ₽274/M | ₽3 195 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽83.00/M | ₽332/M | ₽3 320 |
| Doubao Pro 128K | Doubao pro 128k | ₽120/M | ₽215/M | ₽3 466 |
| gpt 5 codex | openai | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex high | gpt 5 codex high | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex low | gpt 5 codex low | ₽60.59/M | ₽485/M | ₽3 635 |
| gpt 5 codex medium | gpt 5 codex medium | ₽60.59/M | ₽485/M | ₽3 635 |
| O1 Mini | o1 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| DMXAPI DeepSeek R1 long | DMXAPI DeepSeek R1 long | ₽92.96/M | ₽372/M | ₽3 718 |
| gpt 4.1 mini xc | gpt 4.1 mini xc | ₽99.60/M | ₽398/M | ₽3 984 |
| NJMX deepseek r1 | NJMX deepseek r1 | ₽99.60/M | ₽398/M | ₽3 984 |
| qwen3 235b a22b | qwen | ₽66.40/M | ₽664/M | ₽4 648 |
| TY deepseek r1 | TY deepseek r1 | ₽116/M | ₽465/M | ₽4 648 |
| glm 5.2 | z ai | ₽133/M | ₽465/M | ₽4 980 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽124/M | ₽622/M | ₽5 602 |
| claude sonnet 5 | anthropic | ₽124/M | ₽622/M | ₽5 602 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| grok 4.2 | grok 4.2 | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex mini | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| Qwen3 Max | qwen3 max | ₽166/M | ₽664/M | ₽6 640 |
| step 1.5v mini | step 1.5v mini | ₽166/M | ₽747/M | ₽7 055 |
| GLM Zero Preview | glm zero preview | ₽290/M | ₽290/M | ₽7 262 |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽332/M | ₽332/M | ₽8 300 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| vip test | vip test | ₽332/M | ₽332/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 High | gpt 5.2 high | ₽145/M | ₽1 162/M | ₽8 715 |
| GPT 5.2 Low | gpt 5.2 low | ₽145/M | ₽1 162/M | ₽8 715 |
| qwen2.5 vl 72b instruct | qwen | ₽266/M | ₽797/M | ₽9 296 |
| Claude Opus 4.5 | claude opus 4 5 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.6 | claude opus 4 6 | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 | claude opus 4 7 | ₽207/M | ₽1 037/M | ₽9 337 |
| claude opus 5 | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽83.00/M | ₽1 660/M | ₽9 960 |
| kimi k3 | moonshotai | ₽227/M | ₽1 137/M | ₽10 234 |
| gpt 5.5 cdx | gpt 5.5 cdx | ₽206/M | ₽1 236/M | ₽10 300 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| step 1v 32k | step 1v 32k | ₽249/M | ₽1 163/M | ₽10 794 |
| Bge M3 | baai | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| DMXAPI cls45 0929 | DMXAPI cls45 0929 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 3 | grok 3 | ₽249/M | ₽1 245/M | ₽11 205 |
| hunyuan pro | hunyuan pro | ₽342/M | ₽1 142/M | ₽12 550 |
| deepseek r1 plus | deepseek r1 plus | ₽332/M | ₽1 328/M | ₽13 280 |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽324/M | ₽1 618/M | ₽14 566 |
| claude fable 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| gpt 4.1 xc | gpt 4.1 xc | ₽498/M | ₽1 992/M | ₽19 919 |
| Qwen Max Longcontext | qwen max longcontext | ₽498/M | ₽1 992/M | ₽19 919 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 2 | gpt image 2 | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt image 1.5 | openai | ₽415/M | ₽2 656/M | ₽21 579 |
| step 1o vision 32k | step 1o vision 32k | ₽498/M | ₽2 326/M | ₽21 588 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽622/M | ₽1 867/M | ₽21 787 |
| gpt image 1 | openai | ₽415/M | ₽3 320/M | ₽24 899 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| Step 2 16K | step 2 16k | ₽830/M | ₽2 490/M | ₽29 049 |
| GLM 4 | glm 4 | ₽1 186/M | ₽1 186/M | ₽29 643 |
| Baichuan4 | Baichuan4 | ₽2 075/M | ₽2 075/M | ₽51 874 |
| Claude 3 Opus | claude 3 opus | ₽1 245/M | ₽6 225/M | ₽56 023 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| whisper 1 | openai | ₽2 490/M | ₽2 490/M | ₽62 248 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| Bge Reranker V2 M3 | BAAI | ₽6 225/M | ₽6 225/M | ₽155 621 |
| deepseek v3.1 terminus | deepseek | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan 2.0 instruct 20251111 | hunyuan 2.0 instruct 20251111 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan t1 | hunyuan t1 | ₽6 225/M | ₽6 225/M | ₽155 621 |
| hunyuan vision | hunyuan vision | ₽6 225/M | ₽6 225/M | ₽155 621 |
| kimi k2.1 instruct | kimi k2.1 instruct | ₽6 225/M | ₽6 225/M | ₽155 621 |
| minimax m2 | minimax | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 coder 480b | qwen3 coder 480b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽6 225/M | ₽6 225/M | ₽155 621 |
| gpt image 2 03 | gpt image 2 03 | ₽6 225/M | ₽12 450/M | ₽186 745 |
| gpt 5.6 luna | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 luna cdx | gpt 5.6 luna cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 sol | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 sol cdx | gpt 5.6 sol cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 terra | openai | ₽6 225/M | ₽49 799/M | ₽373 490 |
| gpt 5.6 terra cdx | gpt 5.6 terra cdx | ₽6 225/M | ₽49 799/M | ₽373 490 |
Изображения
за изображение · 9
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Изображения
за изображение · 9
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.0 flash exp image | gemini 2.0 flash exp image | ₽1.24/изобр. |
| gemini 2.5 flash image | ₽1.24/изобр. | |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽2.49/изобр. |
| flux kontext pro | flux kontext pro | ₽3.32/изобр. |
| Qwen Image | alibaba | ₽3.32/изобр. |
| gpt 4o image | gpt 4o image | ₽4.15/изобр. |
| Flux Kontext Max | flux kontext max | ₽6.64/изобр. |
| Imagen4 | imagen4 | ₽8.30/изобр. |
| gemini 3 pro image | ₽16.60/изобр. |
За запрос
фиксированная цена за вызов · 6
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За запрос
фиксированная цена за вызов · 6
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.04/вызов |
| g3p 03 | g3p 03 | ₽4.98/вызов |
| gemini 3.1 flash image | ₽4.98/вызов | |
| O1 | o1 | ₽5.81/вызов |
| tts pro | tts pro | ₽9.13/вызов |
| grok imagine 0.9 | grok imagine 0.9 | ₽16.60/вызов |
Без публичной цены
нет данных в открытых источниках · 12
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Без публичной цены
нет данных в открытых источниках · 12
| Модель | Maker | Примечание |
|---|---|---|
| ERNIE Speed 128K | ERNIE Speed 128K | — |
| ERNIE Tiny 8K | ERNIE Tiny 8K | — |
| glm 4 9b chat | THUDM | — |
| GLM 4 Flash | glm 4 flash | — |
| glm 4.5 flash | glm 4.5 flash | — |
| GLM 4V Flash | GLM 4V Flash | — |
| hunyuan lite | hunyuan lite | — |
| Janus Pro 7B | deepseek ai | — |
| Llama 3.1 8B | llama 3.1 8b | — |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | — |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | — |
| Yi 1.5 9B Chat 16K | 01 ai | — |
Как мы считаем цены
Провайдер на движке OneAPI/New API: в каталоге цены задаются коэффициентами model_ratio и completion_ratio, а не прямой строкой «$X за 1M токенов». Мы пересчитываем ratio в USD по формуле OneAPI: input ≈ model_ratio × $2 × group_ratio за 1M токенов, output умножается на completion_ratio. Часть моделей billed за вызов (изображение, видео, search) — фикс USD за запрос. Итог зависит от group_ratio — группы маршрута/upstream у API-ключа.
О провайдере
О сервисе
DMX API — три витрины одного движка New API v0.5.5. На AI-APISHKA каталог с dmxapi.com в USD; пересчёт $/1M для сравнения с LaoZhang и o3.fan. Документация: docindex.dmxapi.cn.
Как сравнивать на AI-APISHKA
На AI-APISHKA сравнивайте пересчитанную ₽/1M или $/1M для той же модели у разных агрегаторов. У OneAPI-сервисов ratio свой — одинаковое имя модели не гарантирует одинаковую цену у LaoZhang, o3.fan, NeuroAPI и других. Не путайте .com (USD) и .cn (CNY) при сравнении.
Частые вопросы
- Чем dmxapi.com отличается от dmxapi.cn?
- .com — USD-международная витрина (Stripe). .cn — юаневая для пользователей из Китая. Ключи не взаимозаменяемы.
- DMX API — flat или ratio pricing?
- OneAPI ratio. На AI-APISHKA — пересчёт в $/1M для dmxapi.com.
- Что такое ssvip.dmxapi.com?
- Enterprise-витрина со SLA и без скидок — для корпоративных клиентов.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
DMX API предлагает 235 моделей AI API. Средняя цена — ₽994/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.66/M (text embedding 3 small).
Сравните цены на Qwen3 Embedding 8B , gemini 2.0 flash exp image , gemini 2.5 flash image , doubao seedream 4 0 250828 и flux kontext pro у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.