DMX API
Сайт ↗DMXAPI.com — USD-витрина New API (юани на dmxapi.cn)
- Моделей
- 232
- Средняя цена
- ₽1 183/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 = 83.2454 ₽ · 1 CNY = 12.4028 ₽ · 02.10.2026
232 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 | ₽42 |
| qwen coder turbo | Qwen | ₽3.33/M | ₽0.02/M | ₽67 |
| Qwen Turbo | Qwen | ₽3.33/M | ₽6.66/M | ₽100 |
| Qwen Flash | Qwen | ₽2.50/M | ₽24.97/M | ₽175 |
| Qwen Long | Qwen | ₽4.99/M | ₽19.98/M | ₽200 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| hunyuan standard | hunyuan standard | ₽9.99/M | ₽9.99/M | ₽250 |
| hunyuan standard 256K | hunyuan standard 256K | ₽9.99/M | ₽9.99/M | ₽250 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| yi lightning | yi lightning | ₽11.65/M | ₽11.65/M | ₽291 |
| qwen3.5 397b a17b | Qwen | ₽6.66/M | ₽39.96/M | ₽333 |
| qwen3.5 plus | qwen3.5 plus | ₽6.66/M | ₽39.96/M | ₽333 |
| Gemini 2.0 Flash | ₽8.32/M | ₽33.30/M | ₽333 | |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen3 8B | Qwen | ₽8.32/M | ₽33.30/M | ₽333 |
| Vendor A · Qwen · Qwen2-72B-Instruct | Vendor A | ₽14.98/M | ₽14.98/M | ₽375 |
| gpt oss 120b | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| deepseek v4 flash | DeepSeek | ₽13.15/M | ₽26.31/M | ₽395 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽9.86/M | ₽39.46/M | ₽395 |
| Qwen3.5-35B-A3B | Qwen | ₽6.66/M | ₽53.28/M | ₽400 |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽37.46/M | ₽437 |
| Qwen Plus | Qwen | ₽14.15/M | ₽35.38/M | ₽460 |
| Baichuan4 Air | Baichuan4 Air | ₽19.98/M | ₽19.98/M | ₽499 |
| JoyAI LLM Flash | JoyAI LLM Flash | ₽12.49/M | ₽49.95/M | ₽499 |
| Grok 4 | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| grok 4.1 | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| grok 4.1 non thinking | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽21.64/M | ₽21.64/M | ₽541 |
| Jina Reranker M0 | jina reranker m0 | ₽21.64/M | ₽21.64/M | ₽541 |
| GLM 4 Long | GLM 4 Long | ₽23.31/M | ₽23.31/M | ₽583 |
| abab6 chat | abab6 chat | ₽24.97/M | ₽24.97/M | ₽624 |
| abab6.5s chat | abab6.5s chat | ₽24.97/M | ₽24.97/M | ₽624 |
| qwq plus | Qwen | ₽19.98/M | ₽49.95/M | ₽649 |
| hunyuan a13b | hunyuan a13b | ₽16.65/M | ₽66.60/M | ₽666 |
| Qwen3 14B | Qwen | ₽16.65/M | ₽66.60/M | ₽666 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽41.71/M | ₽708 |
| deepseek v3.2 | DeepSeek | ₽26.31/M | ₽39.46/M | ₽723 |
| Qwen3.5-122B-A10B | Qwen | ₽13.32/M | ₽107/M | ₽799 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| Qwq 32b | Qwen | ₽24.97/M | ₽74.92/M | ₽874 |
| DeepSeek Chat (V3) | DeepSeek | ₽33.30/M | ₽49.95/M | ₽916 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽104/M | ₽937 | |
| Grok Code Fast 1 | xAI | ₽16.65/M | ₽125/M | ₽957 |
| DMXAPI HuoShan DeepSeek V3 | DMXAPI HuoShan DeepSeek V3 | ₽26.31/M | ₽105/M | ₽1 052 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen3-Omni Flash | alibaba | ₽29.97/M | ₽115/M | ₽1 174 |
| DMXAPI DeepSeek R1 32b | DMXAPI DeepSeek R1 32b | ₽29.97/M | ₽120/M | ₽1 199 |
| MiniMax Text 01 | MiniMax Text 01 | ₽19.98/M | ₽160/M | ₽1 199 |
| qwen math plus | Qwen | ₽49.95/M | ₽43.45/M | ₽1 216 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽83.25/M | ₽1 249 |
| Deepseek V4 Pro | DeepSeek | ₽42.46/M | ₽84.91/M | ₽1 274 |
| DMXAPI DeepSeek V3 | DMXAPI DeepSeek V3 | ₽33.30/M | ₽133/M | ₽1 332 |
| GLM 4.6 | Z.ai | ₽33.30/M | ₽133/M | ₽1 332 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| Qwen3 32B | Qwen | ₽33.30/M | ₽133/M | ₽1 332 |
| MiniMax M2.1 | MiniMax | ₽34.96/M | ₽140/M | ₽1 399 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽56.61/M | ₽56.61/M | ₽1 415 |
| Qwen2 72B Instruct | Qwen | ₽58.27/M | ₽58.27/M | ₽1 457 |
| Gemini 3.5 Flash Lite | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 3 flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| Gemini 2.5 Flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 3 flash preview minimal | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 2.0 flash thinking exp 1219 | ₽41.62/M | ₽166/M | ₽1 665 | |
| Llama 3.3 70B | Meta | ₽66.60/M | ₽66.60/M | ₽1 665 |
| yi vision v2 | yi vision v2 | ₽69.93/M | ₽69.93/M | ₽1 748 |
| DMXAPI DeepSeek R1 70b | DMXAPI DeepSeek R1 70b | ₽71.59/M | ₽71.59/M | ₽1 790 |
| deepseek r1 | DeepSeek | ₽44.95/M | ₽180/M | ₽1 798 |
| DeepSeek-V3 | DeepSeek | ₽44.95/M | ₽180/M | ₽1 798 |
| deepseek v3.1 | DeepSeek | ₽52.61/M | ₽158/M | ₽1 841 |
| Claude Haiku 4.5 | Anthropic | ₽41.62/M | ₽208/M | ₽1 873 |
| NJMX deepseek chat | NJMX deepseek chat | ₽49.95/M | ₽200/M | ₽1 998 |
| qwen3 coder plus | Qwen | ₽49.95/M | ₽200/M | ₽1 998 |
| GLM 4 Plus | glm 4 plus | ₽83.25/M | ₽83.25/M | ₽2 081 |
| DMXAPI HuoShan DeepSeek R1 671B 64k | DMXAPI HuoShan DeepSeek R1 671B 64k | ₽52.61/M | ₽210/M | ₽2 104 |
| Glm 4.7 | glm 4.7 | ₽49.95/M | ₽235/M | ₽2 173 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽91.57/M | ₽91.57/M | ₽2 289 |
| minimax m1 80k | minimax m1 80k | ₽33.30/M | ₽333/M | ₽2 331 |
| Qwen Max | Qwen | ₽58.27/M | ₽233/M | ₽2 331 |
| qwen3 235b a22b | Qwen | ₽33.30/M | ₽333/M | ₽2 331 |
| TY deepseek v3 | TY deepseek v3 | ₽58.27/M | ₽233/M | ₽2 331 |
| qwen 2.5 72b instruct | Qwen | ₽66.60/M | ₽200/M | ₽2 331 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽74.92/M | ₽225/M | ₽2 622 |
| DeepSeek Prover V2 | DeepSeek | ₽66.60/M | ₽266/M | ₽2 664 |
| deepseek r1 250528 | DeepSeek | ₽66.60/M | ₽266/M | ₽2 664 |
| DMXAPI DeepSeek R1 | DMXAPI DeepSeek R1 | ₽66.60/M | ₽266/M | ₽2 664 |
| Kimi K2 0711 | MoonshotAI | ₽66.60/M | ₽266/M | ₽2 664 |
| Qwen3 235B A22B Instruct | alibaba | ₽66.60/M | ₽266/M | ₽2 664 |
| ERNIE 5.0 | ernie 5.0 | ₽68.26/M | ₽273/M | ₽2 730 |
| Gemini 3.7 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 851 |
| claude 3 5 haiku latest | Anthropic | ₽66.60/M | ₽333/M | ₽2 997 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽74.92/M | ₽300/M | ₽2 997 |
| DeepSeek V3 | DeepSeek | ₽76.59/M | ₽306/M | ₽3 063 |
| Gpt 5.4 Mini | OpenAI | ₽62.43/M | ₽375/M | ₽3 122 |
| gpt image 1 mini | OpenAI | ₽93.65/M | ₽262/M | ₽3 184 |
| hunyuan large | hunyuan large | ₽91.57/M | ₽275/M | ₽3 205 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽83.25/M | ₽333/M | ₽3 330 |
| qwen3.8 27b | Qwen | ₽60.77/M | ₽456/M | ₽3 494 |
| gpt 5 codex | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex high | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex low | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex medium | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| o1 mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 Mini High | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| DMXAPI DeepSeek R1 long | DMXAPI DeepSeek R1 long | ₽93.23/M | ₽373/M | ₽3 729 |
| gpt 4.1 mini xc | OpenAI | ₽99.89/M | ₽400/M | ₽3 996 |
| NJMX deepseek r1 | NJMX deepseek r1 | ₽99.89/M | ₽400/M | ₽3 996 |
| TY deepseek r1 | TY deepseek r1 | ₽117/M | ₽466/M | ₽4 662 |
| Glm 5.3 | glm 5.3 | ₽125/M | ₽466/M | ₽4 828 |
| Glm 5.2 | glm 5.2 | ₽133/M | ₽466/M | ₽4 995 |
| Claude Sonnet 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Sonnet 4.6 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Sonnet 5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Gemini 3.6 Flash | ₽125/M | ₽624/M | ₽5 619 | |
| grok 4.2 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.6 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Mini | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| Qwen3 Max | qwen3 max | ₽166/M | ₽666/M | ₽6 660 |
| step 1.5v mini | step 1.5v mini | ₽166/M | ₽749/M | ₽7 076 |
| GLM Zero Preview | glm zero preview | ₽291/M | ₽291/M | ₽7 284 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽333/M | ₽333/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| vip test | vip test | ₽333/M | ₽333/M | ₽8 325 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 High | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 Low | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽266/M | ₽799/M | ₽9 323 |
| Claude Opus 4.6 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Claude Opus 4.7 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Claude Opus 5 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Kimi K3 | kimi k3 | ₽228/M | ₽1 140/M | ₽10 264 |
| gpt 5.5 cdx | OpenAI | ₽207/M | ₽1 240/M | ₽10 331 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| step 1v 32k | step 1v 32k | ₽250/M | ₽1 166/M | ₽10 826 |
| Bge M3 | baai | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Sonnet 4 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 3 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.7 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| hunyuan pro | hunyuan pro | ₽343/M | ₽1 146/M | ₽12 587 |
| gemini 3.1 flash lite image | ₽20.81/M | ₽2 497/M | ₽12 903 | |
| deepseek r1 plus | DeepSeek | ₽333/M | ₽1 332/M | ₽13 319 |
| Sonnet 3.5 | Anthropic | ₽325/M | ₽1 623/M | ₽14 610 |
| claude fable 5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4 8 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| gpt 4.1 xc | OpenAI | ₽499/M | ₽1 998/M | ₽19 979 |
| Qwen Max Longcontext | Qwen | ₽499/M | ₽1 998/M | ₽19 979 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽2 664/M | ₽21 644 |
| step 1o vision 32k | step 1o vision 32k | ₽499/M | ₽2 333/M | ₽21 652 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽624/M | ₽1 873/M | ₽21 852 |
| gpt image 1 | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| Step 2 16K | step 2 16k | ₽832/M | ₽2 497/M | ₽29 136 |
| GLM 4 | glm 4 | ₽1 189/M | ₽1 189/M | ₽29 731 |
| Claude Fable 5 1 | Anthropic | ₽832/M | ₽4 162/M | ₽37 460 |
| Baichuan4 | Baichuan4 | ₽2 081/M | ₽2 081/M | ₽52 028 |
| claude 3 opus latest | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| Claude Opus 4 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| whisper 1 | OpenAI | ₽2 497/M | ₽2 497/M | ₽62 434 |
| gpt 4 | OpenAI | ₽2 497/M | ₽4 995/M | ₽74 921 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Claude Opus 5 5 | Anthropic | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Claude Sonnet 5.5 | Anthropic | ₽6 243/M | ₽6 243/M | ₽156 085 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan 2.0 instruct 20251111 | hunyuan 2.0 instruct 20251111 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan t1 | hunyuan t1 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan vision | hunyuan vision | ₽6 243/M | ₽6 243/M | ₽156 085 |
| kimi k2.1 instruct | kimi k2.1 instruct | ₽6 243/M | ₽6 243/M | ₽156 085 |
| MiniMax M2 | MiniMax | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 coder 480b | qwen3 coder 480b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Gpt 6 Astra | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt 6 astra cdx | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| Gpt 6 Sol | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt 6 sol cdx | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt image 2 03 | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| Gpt 5.6 Luna | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 luna cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| Gpt 5.6 Sol | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 sol cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| Gpt 5.6 Terra | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 terra cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
Изображения
за изображение · 8
▼
Изображения
за изображение · 8
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.0 flash exp image | ₽1.25/изобр. | |
| gemini 2.5 flash image | ₽1.25/изобр. | |
| flux kontext pro | Black Forest Labs | ₽3.33/изобр. |
| Qwen Image | Qwen | ₽3.33/изобр. |
| gpt 4o image | OpenAI | ₽4.16/изобр. |
| Flux Kontext Max | Black Forest Labs | ₽6.66/изобр. |
| Imagen4 | imagen4 | ₽8.32/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽16.65/изобр. |
За запрос
фиксированная цена за вызов · 5
▼
За запрос
фиксированная цена за вызов · 5
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.04/вызов |
| g3p 03 | g3p 03 | ₽4.99/вызов |
| O1 | OpenAI | ₽5.83/вызов |
| tts pro | tts pro | ₽9.16/вызов |
| grok imagine 0.9 | xAI | ₽16.65/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 | — |
| llama 3.1 8b | Meta | — |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | — |
| Qwen2.5 Coder 7B | Qwen | — |
| 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 | ₽42 |
| qwen coder turbo | Qwen | ₽3.33/M | ₽0.02/M | ₽67 |
| Qwen Turbo | Qwen | ₽3.33/M | ₽6.66/M | ₽100 |
| Qwen Flash | Qwen | ₽2.50/M | ₽24.97/M | ₽175 |
| Qwen Long | Qwen | ₽4.99/M | ₽19.98/M | ₽200 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| hunyuan standard | hunyuan standard | ₽9.99/M | ₽9.99/M | ₽250 |
| hunyuan standard 256K | hunyuan standard 256K | ₽9.99/M | ₽9.99/M | ₽250 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| yi lightning | yi lightning | ₽11.65/M | ₽11.65/M | ₽291 |
| qwen3.5 397b a17b | Qwen | ₽6.66/M | ₽39.96/M | ₽333 |
| qwen3.5 plus | qwen3.5 plus | ₽6.66/M | ₽39.96/M | ₽333 |
| Gemini 2.0 Flash | ₽8.32/M | ₽33.30/M | ₽333 | |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| Qwen3 8B | Qwen | ₽8.32/M | ₽33.30/M | ₽333 |
| Vendor A · Qwen · Qwen2-72B-Instruct | Vendor A | ₽14.98/M | ₽14.98/M | ₽375 |
| gpt oss 120b | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| deepseek v4 flash | DeepSeek | ₽13.15/M | ₽26.31/M | ₽395 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽9.86/M | ₽39.46/M | ₽395 |
| Qwen3.5-35B-A3B | Qwen | ₽6.66/M | ₽53.28/M | ₽400 |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽37.46/M | ₽437 |
| Qwen Plus | Qwen | ₽14.15/M | ₽35.38/M | ₽460 |
| Baichuan4 Air | Baichuan4 Air | ₽19.98/M | ₽19.98/M | ₽499 |
| JoyAI LLM Flash | JoyAI LLM Flash | ₽12.49/M | ₽49.95/M | ₽499 |
| Grok 4 | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Grok 4 Fast (reasoning) | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| grok 4.1 | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| grok 4.1 non thinking | xAI | ₽16.65/M | ₽41.62/M | ₽541 |
| Jina Deepsearch V1 | jina deepsearch v1 | ₽21.64/M | ₽21.64/M | ₽541 |
| Jina Reranker M0 | jina reranker m0 | ₽21.64/M | ₽21.64/M | ₽541 |
| GLM 4 Long | GLM 4 Long | ₽23.31/M | ₽23.31/M | ₽583 |
| abab6 chat | abab6 chat | ₽24.97/M | ₽24.97/M | ₽624 |
| abab6.5s chat | abab6.5s chat | ₽24.97/M | ₽24.97/M | ₽624 |
| qwq plus | Qwen | ₽19.98/M | ₽49.95/M | ₽649 |
| hunyuan a13b | hunyuan a13b | ₽16.65/M | ₽66.60/M | ₽666 |
| Qwen3 14B | Qwen | ₽16.65/M | ₽66.60/M | ₽666 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽41.71/M | ₽708 |
| deepseek v3.2 | DeepSeek | ₽26.31/M | ₽39.46/M | ₽723 |
| Qwen3.5-122B-A10B | Qwen | ₽13.32/M | ₽107/M | ₽799 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| Qwq 32b | Qwen | ₽24.97/M | ₽74.92/M | ₽874 |
| DeepSeek Chat (V3) | DeepSeek | ₽33.30/M | ₽49.95/M | ₽916 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽104/M | ₽937 | |
| Grok Code Fast 1 | xAI | ₽16.65/M | ₽125/M | ₽957 |
| DMXAPI HuoShan DeepSeek V3 | DMXAPI HuoShan DeepSeek V3 | ₽26.31/M | ₽105/M | ₽1 052 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽33.30/M | ₽99.89/M | ₽1 165 |
| Qwen3-Omni Flash | alibaba | ₽29.97/M | ₽115/M | ₽1 174 |
| DMXAPI DeepSeek R1 32b | DMXAPI DeepSeek R1 32b | ₽29.97/M | ₽120/M | ₽1 199 |
| MiniMax Text 01 | MiniMax Text 01 | ₽19.98/M | ₽160/M | ₽1 199 |
| qwen math plus | Qwen | ₽49.95/M | ₽43.45/M | ₽1 216 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽83.25/M | ₽1 249 |
| Deepseek V4 Pro | DeepSeek | ₽42.46/M | ₽84.91/M | ₽1 274 |
| DMXAPI DeepSeek V3 | DMXAPI DeepSeek V3 | ₽33.30/M | ₽133/M | ₽1 332 |
| GLM 4.6 | Z.ai | ₽33.30/M | ₽133/M | ₽1 332 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| Qwen3 32B | Qwen | ₽33.30/M | ₽133/M | ₽1 332 |
| MiniMax M2.1 | MiniMax | ₽34.96/M | ₽140/M | ₽1 399 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽56.61/M | ₽56.61/M | ₽1 415 |
| Qwen2 72B Instruct | Qwen | ₽58.27/M | ₽58.27/M | ₽1 457 |
| Gemini 3.5 Flash Lite | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 3 flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| Gemini 2.5 Flash | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 3 flash preview minimal | ₽24.97/M | ₽208/M | ₽1 540 | |
| gemini 2.0 flash thinking exp 1219 | ₽41.62/M | ₽166/M | ₽1 665 | |
| Llama 3.3 70B | Meta | ₽66.60/M | ₽66.60/M | ₽1 665 |
| yi vision v2 | yi vision v2 | ₽69.93/M | ₽69.93/M | ₽1 748 |
| DMXAPI DeepSeek R1 70b | DMXAPI DeepSeek R1 70b | ₽71.59/M | ₽71.59/M | ₽1 790 |
| deepseek r1 | DeepSeek | ₽44.95/M | ₽180/M | ₽1 798 |
| DeepSeek-V3 | DeepSeek | ₽44.95/M | ₽180/M | ₽1 798 |
| deepseek v3.1 | DeepSeek | ₽52.61/M | ₽158/M | ₽1 841 |
| Claude Haiku 4.5 | Anthropic | ₽41.62/M | ₽208/M | ₽1 873 |
| NJMX deepseek chat | NJMX deepseek chat | ₽49.95/M | ₽200/M | ₽1 998 |
| qwen3 coder plus | Qwen | ₽49.95/M | ₽200/M | ₽1 998 |
| GLM 4 Plus | glm 4 plus | ₽83.25/M | ₽83.25/M | ₽2 081 |
| DMXAPI HuoShan DeepSeek R1 671B 64k | DMXAPI HuoShan DeepSeek R1 671B 64k | ₽52.61/M | ₽210/M | ₽2 104 |
| Glm 4.7 | glm 4.7 | ₽49.95/M | ₽235/M | ₽2 173 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽91.57/M | ₽91.57/M | ₽2 289 |
| minimax m1 80k | minimax m1 80k | ₽33.30/M | ₽333/M | ₽2 331 |
| Qwen Max | Qwen | ₽58.27/M | ₽233/M | ₽2 331 |
| qwen3 235b a22b | Qwen | ₽33.30/M | ₽333/M | ₽2 331 |
| TY deepseek v3 | TY deepseek v3 | ₽58.27/M | ₽233/M | ₽2 331 |
| qwen 2.5 72b instruct | Qwen | ₽66.60/M | ₽200/M | ₽2 331 |
| Qwen2.5 72B Instruct 128K | Qwen | ₽74.92/M | ₽225/M | ₽2 622 |
| DeepSeek Prover V2 | DeepSeek | ₽66.60/M | ₽266/M | ₽2 664 |
| deepseek r1 250528 | DeepSeek | ₽66.60/M | ₽266/M | ₽2 664 |
| DMXAPI DeepSeek R1 | DMXAPI DeepSeek R1 | ₽66.60/M | ₽266/M | ₽2 664 |
| Kimi K2 0711 | MoonshotAI | ₽66.60/M | ₽266/M | ₽2 664 |
| Qwen3 235B A22B Instruct | alibaba | ₽66.60/M | ₽266/M | ₽2 664 |
| ERNIE 5.0 | ernie 5.0 | ₽68.26/M | ₽273/M | ₽2 730 |
| Gemini 3.7 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 851 |
| claude 3 5 haiku latest | Anthropic | ₽66.60/M | ₽333/M | ₽2 997 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽74.92/M | ₽300/M | ₽2 997 |
| DeepSeek V3 | DeepSeek | ₽76.59/M | ₽306/M | ₽3 063 |
| Gpt 5.4 Mini | OpenAI | ₽62.43/M | ₽375/M | ₽3 122 |
| gpt image 1 mini | OpenAI | ₽93.65/M | ₽262/M | ₽3 184 |
| hunyuan large | hunyuan large | ₽91.57/M | ₽275/M | ₽3 205 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽83.25/M | ₽333/M | ₽3 330 |
| qwen3.8 27b | Qwen | ₽60.77/M | ₽456/M | ₽3 494 |
| gpt 5 codex | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex high | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex low | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| gpt 5 codex medium | OpenAI | ₽60.77/M | ₽486/M | ₽3 646 |
| o1 mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 Mini High | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| DMXAPI DeepSeek R1 long | DMXAPI DeepSeek R1 long | ₽93.23/M | ₽373/M | ₽3 729 |
| gpt 4.1 mini xc | OpenAI | ₽99.89/M | ₽400/M | ₽3 996 |
| NJMX deepseek r1 | NJMX deepseek r1 | ₽99.89/M | ₽400/M | ₽3 996 |
| TY deepseek r1 | TY deepseek r1 | ₽117/M | ₽466/M | ₽4 662 |
| Glm 5.3 | glm 5.3 | ₽125/M | ₽466/M | ₽4 828 |
| Glm 5.2 | glm 5.2 | ₽133/M | ₽466/M | ₽4 995 |
| Claude Sonnet 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Sonnet 4.6 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Sonnet 5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Gemini 3.6 Flash | ₽125/M | ₽624/M | ₽5 619 | |
| grok 4.2 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| Grok 4.6 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Mini | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| Qwen3 Max | qwen3 max | ₽166/M | ₽666/M | ₽6 660 |
| step 1.5v mini | step 1.5v mini | ₽166/M | ₽749/M | ₽7 076 |
| GLM Zero Preview | glm zero preview | ₽291/M | ₽291/M | ₽7 284 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| Baichuan4 Turbo | Baichuan4 Turbo | ₽333/M | ₽333/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| vip test | vip test | ₽333/M | ₽333/M | ₽8 325 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 High | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT 5.2 Low | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽266/M | ₽799/M | ₽9 323 |
| Claude Opus 4.6 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Claude Opus 4.7 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Claude Opus 5 | Anthropic | ₽208/M | ₽1 041/M | ₽9 365 |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Kimi K3 | kimi k3 | ₽228/M | ₽1 140/M | ₽10 264 |
| gpt 5.5 cdx | OpenAI | ₽207/M | ₽1 240/M | ₽10 331 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| step 1v 32k | step 1v 32k | ₽250/M | ₽1 166/M | ₽10 826 |
| Bge M3 | baai | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Sonnet 4 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 3 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.7 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| hunyuan pro | hunyuan pro | ₽343/M | ₽1 146/M | ₽12 587 |
| gemini 3.1 flash lite image | ₽20.81/M | ₽2 497/M | ₽12 903 | |
| deepseek r1 plus | DeepSeek | ₽333/M | ₽1 332/M | ₽13 319 |
| Sonnet 3.5 | Anthropic | ₽325/M | ₽1 623/M | ₽14 610 |
| claude fable 5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4 8 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| Claude Opus 4.5 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| gpt 4.1 xc | OpenAI | ₽499/M | ₽1 998/M | ₽19 979 |
| Qwen Max Longcontext | Qwen | ₽499/M | ₽1 998/M | ₽19 979 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽2 664/M | ₽21 644 |
| step 1o vision 32k | step 1o vision 32k | ₽499/M | ₽2 333/M | ₽21 652 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽624/M | ₽1 873/M | ₽21 852 |
| gpt image 1 | OpenAI | ₽416/M | ₽3 330/M | ₽24 974 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| Step 2 16K | step 2 16k | ₽832/M | ₽2 497/M | ₽29 136 |
| GLM 4 | glm 4 | ₽1 189/M | ₽1 189/M | ₽29 731 |
| Claude Fable 5 1 | Anthropic | ₽832/M | ₽4 162/M | ₽37 460 |
| Baichuan4 | Baichuan4 | ₽2 081/M | ₽2 081/M | ₽52 028 |
| claude 3 opus latest | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| Claude Opus 4 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| whisper 1 | OpenAI | ₽2 497/M | ₽2 497/M | ₽62 434 |
| gpt 4 | OpenAI | ₽2 497/M | ₽4 995/M | ₽74 921 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Claude Opus 5 5 | Anthropic | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Claude Sonnet 5.5 | Anthropic | ₽6 243/M | ₽6 243/M | ₽156 085 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan 2.0 instruct 20251111 | hunyuan 2.0 instruct 20251111 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan t1 | hunyuan t1 | ₽6 243/M | ₽6 243/M | ₽156 085 |
| hunyuan vision | hunyuan vision | ₽6 243/M | ₽6 243/M | ₽156 085 |
| kimi k2.1 instruct | kimi k2.1 instruct | ₽6 243/M | ₽6 243/M | ₽156 085 |
| MiniMax M2 | MiniMax | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 coder 480b | qwen3 coder 480b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽6 243/M | ₽6 243/M | ₽156 085 |
| Gpt 6 Astra | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt 6 astra cdx | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| Gpt 6 Sol | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt 6 sol cdx | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| gpt image 2 03 | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| Gpt 5.6 Luna | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 luna cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| Gpt 5.6 Sol | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 sol cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| Gpt 5.6 Terra | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
| gpt 5.6 terra cdx | OpenAI | ₽6 243/M | ₽49 947/M | ₽374 604 |
Изображения
за изображение · 8
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Изображения
за изображение · 8
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.0 flash exp image | ₽1.25/изобр. | |
| gemini 2.5 flash image | ₽1.25/изобр. | |
| flux kontext pro | Black Forest Labs | ₽3.33/изобр. |
| Qwen Image | Qwen | ₽3.33/изобр. |
| gpt 4o image | OpenAI | ₽4.16/изобр. |
| Flux Kontext Max | Black Forest Labs | ₽6.66/изобр. |
| Imagen4 | imagen4 | ₽8.32/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽16.65/изобр. |
За запрос
фиксированная цена за вызов · 5
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За запрос
фиксированная цена за вызов · 5
| Модель | Maker | Цена |
|---|---|---|
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.04/вызов |
| g3p 03 | g3p 03 | ₽4.99/вызов |
| O1 | OpenAI | ₽5.83/вызов |
| tts pro | tts pro | ₽9.16/вызов |
| grok imagine 0.9 | xAI | ₽16.65/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 | — |
| llama 3.1 8b | Meta | — |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | — |
| Qwen2.5 Coder 7B | Qwen | — |
| 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. У части моделей новых сборок движка цена задана выражением billing_expr (контекстные тарифы, peak/off-peak по UTC) — тогда берём коэффициенты из выражения, а model_ratio игнорируем: там заглушка. Если модели нет в таблице коэффициентов движка, /api/pricing отдаёт вместо цены константу (37.5 у New API, 30 у one-api) — такую модель показываем без цены, а не с пересчитанной из заглушки. 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 232 моделей AI API. Средняя цена — ₽1 183/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 , flux kontext pro и Qwen Image у других провайдеров или в каталоге агрегаторов . Данные обновлены 29.09.2026.