API易 — китайский New API-агрегатор, 346 моделей, Claude/Codex-группы
- Моделей
- 215
- Средняя цена
- ₽367/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- USD (доллары), Pay-as-you-go
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт и документация преимущественно на китайском · Ratio pricing и group_ratio — см. блок «Как считаются цены» · GET /v1/models требует API-ключ (401)
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 = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
214 моделей
Текст и чат
оплата за токены · 187
▼
Текст и чат
оплата за токены · 187
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽21 |
| Bge Reranker V2 M3 | BAAI | ₽0.86/M | ₽0.86/M | ₽21 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽43 |
| Wan2.7 I2v | wan2.7 i2v | ₽2.05/M | ₽2.05/M | ₽51 |
| Wan2.7 T2v | wan2.7 t2v | ₽2.05/M | ₽2.05/M | ₽51 |
| Qwen-VL OCR | alibaba | ₽3.77/M | ₽6.29/M | ₽107 |
| Qwen Text Embedding v3 | alibaba | ₽5.99/M | ₽5.99/M | ₽150 |
| Qwen3.5 Flash | alibaba | ₽2.57/M | ₽25.68/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽214 |
| Qwen Long | qwen long | ₽5.99/M | ₽23.97/M | ₽240 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| seed 1 6 flash 250615 | seed 1 6 flash 250615 | ₽6.42/M | ₽25.68/M | ₽257 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽6.42/M | ₽25.68/M | ₽257 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽278 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3.5 35b a3b | qwen | ₽5.14/M | ₽41.09/M | ₽308 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽9.76/M | ₽24.40/M | ₽317 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| seed 2 0 mini 260215 | seed 2 0 mini 260215 | ₽8.56/M | ₽34.24/M | ₽342 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽8.56/M | ₽34.24/M | ₽342 |
| deepseek v4 flash 260425 | deepseek v4 flash 260425 | ₽11.98/M | ₽23.97/M | ₽360 |
| Wan2.6 I2v | wan2.6 i2v | ₽14.38/M | ₽14.38/M | ₽360 |
| Wan2.6 T2v | wan2.6 t2v | ₽14.38/M | ₽14.38/M | ₽360 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽428 |
| Omni Moderation | omni moderation latest | ₽17.12/M | ₽17.12/M | ₽428 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽38.52/M | ₽449 |
| qwen3.5 27b | qwen | ₽7.70/M | ₽61.63/M | ₽462 |
| qwen3.5 plus | qwen3.5 plus | ₽9.76/M | ₽58.55/M | ₽488 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3-VL Flash | alibaba | ₽8.56/M | ₽68.48/M | ₽514 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Qwen-MT Turbo | alibaba | ₽17.12/M | ₽42.80/M | ₽556 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽8.56/M | ₽85.60/M | ₽599 |
| seed 1 6 250615 | seed 1 6 250615 | ₽8.56/M | ₽85.60/M | ₽599 |
| Qwen Turbo | qwen turbo | ₽17.12/M | ₽51.36/M | ₽599 |
| Qwen-VL Plus | alibaba | ₽17.12/M | ₽51.36/M | ₽599 |
| qwen3.5 122b a10b | qwen | ₽10.27/M | ₽82.18/M | ₽616 |
| deepseek v3.2 | deepseek | ₽23.97/M | ₽35.95/M | ₽659 |
| Qwen-VL Max | alibaba | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 30b a3b instruct 2507 | qwen | ₽17.12/M | ₽68.48/M | ₽685 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.27/M | ₽103/M | ₽719 |
| qwen3.6 flash | qwen | ₽14.55/M | ₽87.31/M | ₽728 |
| glm 4.5 air | z ai | ₽17.12/M | ₽85.60/M | ₽770 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| qwen3.5 397b a17b | qwen | ₽15.41/M | ₽92.45/M | ₽770 |
| qvq plus | qvq plus | ₽23.97/M | ₽59.92/M | ₽779 |
| grok code fast | grok code fast | ₽13.70/M | ₽103/M | ₽788 |
| Grok Code Fast 1 | grok code fast 1 | ₽13.70/M | ₽103/M | ₽788 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m2.7 | minimax | ₽24.40/M | ₽97.58/M | ₽976 |
| minimax m3 | minimax | ₽24.40/M | ₽97.58/M | ₽976 |
| Deepseek | deepseek | ₽24.48/M | ₽97.93/M | ₽979 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 35b a3b | qwen | ₽22.26/M | ₽134/M | ₽1 113 |
| qwen3 30b a3b | qwen | ₽17.12/M | ₽171/M | ₽1 198 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽103/M | ₽1 198 |
| qwen3.6 plus | qwen | ₽24.40/M | ₽146/M | ₽1 220 |
| deepseek v4 flash | deepseek | ₽35.78/M | ₽107/M | ₽1 252 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽35.78/M | ₽107/M | ₽1 252 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 8 251228 | seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 2 0 lite 260228 | seed 2 0 lite 260228 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽21.40/M | ₽171/M | ₽1 284 |
| deepseek v4 flash ga 260731 | deepseek v4 flash ga 260731 | ₽37.66/M | ₽113/M | ₽1 318 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| Qwen3.5-Omni Flash | alibaba | ₽29.96/M | ₽171/M | ₽1 455 |
| deepseek v3.1 | deepseek v3.1 | ₽42.80/M | ₽128/M | ₽1 498 |
| glm 4.5v | z ai | ₽42.80/M | ₽128/M | ₽1 498 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽205/M | ₽1 541 |
| mimo v2 omni | mimo v2 omni | ₽34.24/M | ₽171/M | ₽1 541 |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | ₽25.68/M | ₽205/M | ₽1 541 |
| Qwen3-VL Plus | alibaba | ₽25.68/M | ₽205/M | ₽1 541 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽42.80/M | ₽171/M | ₽1 712 |
| glm 4.5 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| glm 4.6 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| gpt oss 120b | openai | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽25.68/M | ₽257/M | ₽1 798 |
| qwen3 vl 32b instruct | qwen | ₽25.68/M | ₽257/M | ₽1 798 |
| qwen3.6 27b | qwen | ₽35.95/M | ₽216/M | ₽1 798 |
| glm 4.7 | z ai | ₽48.79/M | ₽176/M | ₽1 854 |
| Gemini 3 Flash | gemini 3 flash | ₽37.66/M | ₽226/M | ₽1 883 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽42.80/M | ₽214/M | ₽1 926 |
| dola seed 2 1 turbo 260628 | dola seed 2 1 turbo 260628 | ₽42.80/M | ₽214/M | ₽1 926 |
| GLM-5 | glm 5 | ₽45.54/M | ₽205/M | ₽1 935 |
| DeepSeek R1 | deepseek r1 | ₽48.79/M | ₽195/M | ₽1 952 |
| kimi k2.6 | moonshotai | ₽48.79/M | ₽195/M | ₽1 952 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽48.79/M | ₽195/M | ₽1 952 |
| qwen3.7 plus | qwen | ₽48.79/M | ₽195/M | ₽1 952 |
| grok build 0.1 | x ai | ₽68.48/M | ₽137/M | ₽2 054 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽42.80/M | ₽257/M | ₽2 140 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽42.80/M | ₽257/M | ₽2 140 |
| gpt 5.4 mini | openai | ₽44.94/M | ₽270/M | ₽2 247 |
| Kimi K2.5 | kimi k2.5 | ₽48.79/M | ₽256/M | ₽2 257 |
| qwen3 32b | qwen | ₽34.24/M | ₽342/M | ₽2 397 |
| qwq plus | qwq plus | ₽68.48/M | ₽205/M | ₽2 397 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽85.60/M | ₽171/M | ₽2 568 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 multi agent | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 non reasoning | grok 4.20 non reasoning | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.3 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| glm 5.1 | z ai | ₽68.31/M | ₽273/M | ₽2 732 |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| mimo v2 pro | mimo v2 pro | ₽85.60/M | ₽257/M | ₽2 996 |
| qwen3 coder flash | qwen | ₽42.80/M | ₽428/M | ₽2 996 |
| kimi k2.7 code | moonshotai | ₽77.25/M | ₽324/M | ₽3 167 |
| glm 5.2 | z ai | ₽92.87/M | ₽325/M | ₽3 483 |
| Qwen3-Omni Flash | alibaba | ₽51.36/M | ₽514/M | ₽3 595 |
| gpt 5.1 codex mini | openai | ₽107/M | ₽321/M | ₽3 745 |
| deepseek v4 pro | deepseek | ₽107/M | ₽322/M | ₽3 757 |
| O1 Mini | o1 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| claude sonnet 5 | anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| qvq max | qvq max | ₽103/M | ₽411/M | ₽4 109 |
| deepseek v4 pro 260425 | deepseek v4 pro 260425 | ₽149/M | ₽298/M | ₽4 468 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| Qwen3.5-Omni Plus | alibaba | ₽103/M | ₽514/M | ₽4 622 |
| qwen3.8 max | qwen | ₽134/M | ₽403/M | ₽4 696 |
| grok 4.5 | x ai | ₽137/M | ₽411/M | ₽4 794 |
| grok 4.6 | grok 4.6 | ₽137/M | ₽411/M | ₽4 794 |
| qwen3.7 max | qwen | ₽139/M | ₽418/M | ₽4 878 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽197/M | ₽197/M | ₽4 922 |
| Qwen3.6 Max | qwen3.6 max | ₽110/M | ₽657/M | ₽5 478 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽128/M | ₽642/M | ₽5 778 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| gpt 5.6 terra | openai | ₽120/M | ₽719/M | ₽5 992 |
| qwen3 235b a22b | qwen | ₽85.60/M | ₽856/M | ₽5 992 |
| Qwen3 235B A22B Instruct | alibaba | ₽85.60/M | ₽856/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽334/M | ₽6 805 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | openai | ₽171/M | ₽685/M | ₽6 848 |
| Qwen-MT Plus | alibaba | ₽171/M | ₽685/M | ₽6 848 |
| gpt 5.4 | openai | ₽150/M | ₽899/M | ₽7 490 |
| Gemini 3 Pro | gemini 3 pro | ₽154/M | ₽924/M | ₽7 704 |
| gemini 3.1 pro | ₽154/M | ₽924/M | ₽7 704 | |
| gemini 3.1 pro preview customtools | ₽154/M | ₽924/M | ₽7 704 | |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Claude Opus 4.5 | claude opus 4 5 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 | claude opus 4 6 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 | claude opus 4 7 | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 4.8 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 5 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| O3 | o3 | ₽257/M | ₽1 027/M | ₽10 272 |
| Claude Sonnet 4 | claude sonnet 4 | ₽244/M | ₽1 220/M | ₽10 978 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽244/M | ₽1 220/M | ₽10 978 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽257/M | ₽1 284/M | ₽11 556 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽475/M | ₽475/M | ₽11 877 |
| qwen3 coder plus | qwen | ₽171/M | ₽1 712/M | ₽11 984 |
| gpt 5.5 | openai | ₽300/M | ₽1 798/M | ₽14 980 |
| gpt 5.6 sol | openai | ₽300/M | ₽1 798/M | ₽14 980 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽709/M | ₽709/M | ₽17 719 |
| claude fable 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| chat latest | chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| chatgpt image latest | chatgpt image latest | ₽428/M | ₽2 739/M | ₽22 256 |
| gpt image 1.5 | openai | ₽428/M | ₽2 739/M | ₽22 256 |
| Wan 2.6 Reference-to-Video | alibaba | ₽899/M | ₽899/M | ₽22 470 |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽899/M | ₽899/M | ₽22 470 |
| Wan2.7 R2v | wan2.7 r2v | ₽899/M | ₽899/M | ₽22 470 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽899/M | ₽899/M | ₽22 470 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| tts 1 | openai | ₽2 568/M | ₽2 568/M | ₽64 201 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| tts 1 hd | openai | ₽5 136/M | ₽5 136/M | ₽128 401 |
| GPT 4 32K | gpt 4 32k | ₽5 136/M | ₽10 272/M | ₽154 081 |
Изображения
за изображение · 22
▼
Изображения
за изображение · 22
| Модель | Maker | Цена |
|---|---|---|
| Flux 2 Klein 4b | black forest labs | ₽0.86/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽0.86/изобр. |
| flux dev | flux dev | ₽1.71/изобр. |
| gemini 2.5 flash image | ₽1.71/изобр. | |
| gemini 3.1 flash lite image | ₽2.14/изобр. | |
| Flux 2 Pro | black forest labs | ₽2.57/изобр. |
| gpt image 2 | gpt image 2 | ₽2.57/изобр. |
| flux kontext pro | flux kontext pro | ₽3.00/изобр. |
| seedream 4 0 250828 | seedream 4 0 250828 | ₽3.00/изобр. |
| seedream 5 0 260128 | seedream 5 0 260128 | ₽3.00/изобр. |
| seedream 4 5 251128 | seedream 4 5 251128 | ₽3.42/изобр. |
| gemini 3.1 flash image | ₽4.71/изобр. | |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽4.71/изобр. |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽4.71/изобр. |
| FLUX.2 [flex] | black forest labs | ₽5.14/изобр. |
| Flux Kontext Max | flux kontext max | ₽5.99/изобр. |
| FLUX.2 [max] | black forest labs | ₽5.99/изобр. |
| gemini 3 pro image | ₽7.70/изобр. | |
| gemini 3 pro image preview 1k | gemini 3 pro image preview 1k | ₽7.70/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.70/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽7.70/изобр. |
| seedream 5 0 pro 260628 | seedream 5 0 pro 260628 | ₽10.27/изобр. |
За запрос
фиксированная цена за вызов · 5
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За запрос
фиксированная цена за вызов · 5
| Модель | Maker | Цена |
|---|---|---|
| multimodal embedding v1 | multimodal embedding v1 | ₽0.0086/вызов |
| qwen3 vl embedding | qwen3 vl embedding | ₽0.0086/вызов |
| gpt 5.1 codex | openai | ₽1.71/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽25.68/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽103/вызов |
Текст и чат
оплата за токены · 187
▼
Текст и чат
оплата за токены · 187
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽21 |
| Bge Reranker V2 M3 | BAAI | ₽0.86/M | ₽0.86/M | ₽21 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽43 |
| Wan2.7 I2v | wan2.7 i2v | ₽2.05/M | ₽2.05/M | ₽51 |
| Wan2.7 T2v | wan2.7 t2v | ₽2.05/M | ₽2.05/M | ₽51 |
| Qwen-VL OCR | alibaba | ₽3.77/M | ₽6.29/M | ₽107 |
| Qwen Text Embedding v3 | alibaba | ₽5.99/M | ₽5.99/M | ₽150 |
| Qwen3.5 Flash | alibaba | ₽2.57/M | ₽25.68/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽214 |
| Qwen Long | qwen long | ₽5.99/M | ₽23.97/M | ₽240 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| seed 1 6 flash 250615 | seed 1 6 flash 250615 | ₽6.42/M | ₽25.68/M | ₽257 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽6.42/M | ₽25.68/M | ₽257 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽278 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3.5 35b a3b | qwen | ₽5.14/M | ₽41.09/M | ₽308 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽9.76/M | ₽24.40/M | ₽317 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| seed 2 0 mini 260215 | seed 2 0 mini 260215 | ₽8.56/M | ₽34.24/M | ₽342 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽8.56/M | ₽34.24/M | ₽342 |
| deepseek v4 flash 260425 | deepseek v4 flash 260425 | ₽11.98/M | ₽23.97/M | ₽360 |
| Wan2.6 I2v | wan2.6 i2v | ₽14.38/M | ₽14.38/M | ₽360 |
| Wan2.6 T2v | wan2.6 t2v | ₽14.38/M | ₽14.38/M | ₽360 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽428 |
| Omni Moderation | omni moderation latest | ₽17.12/M | ₽17.12/M | ₽428 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽38.52/M | ₽449 |
| qwen3.5 27b | qwen | ₽7.70/M | ₽61.63/M | ₽462 |
| qwen3.5 plus | qwen3.5 plus | ₽9.76/M | ₽58.55/M | ₽488 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3-VL Flash | alibaba | ₽8.56/M | ₽68.48/M | ₽514 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 I2v | happyhorse 1.1 i2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 R2v | happyhorse 1.1 r2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Happyhorse 1.1 T2v | happyhorse 1.1 t2v | ₽21.57/M | ₽21.57/M | ₽539 |
| Qwen-MT Turbo | alibaba | ₽17.12/M | ₽42.80/M | ₽556 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽8.56/M | ₽85.60/M | ₽599 |
| seed 1 6 250615 | seed 1 6 250615 | ₽8.56/M | ₽85.60/M | ₽599 |
| Qwen Turbo | qwen turbo | ₽17.12/M | ₽51.36/M | ₽599 |
| Qwen-VL Plus | alibaba | ₽17.12/M | ₽51.36/M | ₽599 |
| qwen3.5 122b a10b | qwen | ₽10.27/M | ₽82.18/M | ₽616 |
| deepseek v3.2 | deepseek | ₽23.97/M | ₽35.95/M | ₽659 |
| Qwen-VL Max | alibaba | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 30b a3b instruct 2507 | qwen | ₽17.12/M | ₽68.48/M | ₽685 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.27/M | ₽103/M | ₽719 |
| qwen3.6 flash | qwen | ₽14.55/M | ₽87.31/M | ₽728 |
| glm 4.5 air | z ai | ₽17.12/M | ₽85.60/M | ₽770 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| qwen3.5 397b a17b | qwen | ₽15.41/M | ₽92.45/M | ₽770 |
| qvq plus | qvq plus | ₽23.97/M | ₽59.92/M | ₽779 |
| grok code fast | grok code fast | ₽13.70/M | ₽103/M | ₽788 |
| Grok Code Fast 1 | grok code fast 1 | ₽13.70/M | ₽103/M | ₽788 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| minimax m2.7 | minimax | ₽24.40/M | ₽97.58/M | ₽976 |
| minimax m3 | minimax | ₽24.40/M | ₽97.58/M | ₽976 |
| Deepseek | deepseek | ₽24.48/M | ₽97.93/M | ₽979 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 35b a3b | qwen | ₽22.26/M | ₽134/M | ₽1 113 |
| qwen3 30b a3b | qwen | ₽17.12/M | ₽171/M | ₽1 198 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽103/M | ₽1 198 |
| qwen3.6 plus | qwen | ₽24.40/M | ₽146/M | ₽1 220 |
| deepseek v4 flash | deepseek | ₽35.78/M | ₽107/M | ₽1 252 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽35.78/M | ₽107/M | ₽1 252 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 8 251228 | seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 2 0 lite 260228 | seed 2 0 lite 260228 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽21.40/M | ₽171/M | ₽1 284 |
| deepseek v4 flash ga 260731 | deepseek v4 flash ga 260731 | ₽37.66/M | ₽113/M | ₽1 318 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| Qwen3.5-Omni Flash | alibaba | ₽29.96/M | ₽171/M | ₽1 455 |
| deepseek v3.1 | deepseek v3.1 | ₽42.80/M | ₽128/M | ₽1 498 |
| glm 4.5v | z ai | ₽42.80/M | ₽128/M | ₽1 498 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽205/M | ₽1 541 |
| mimo v2 omni | mimo v2 omni | ₽34.24/M | ₽171/M | ₽1 541 |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | ₽25.68/M | ₽205/M | ₽1 541 |
| Qwen3-VL Plus | alibaba | ₽25.68/M | ₽205/M | ₽1 541 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽42.80/M | ₽171/M | ₽1 712 |
| glm 4.5 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| glm 4.6 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| gpt oss 120b | openai | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽25.68/M | ₽257/M | ₽1 798 |
| qwen3 vl 32b instruct | qwen | ₽25.68/M | ₽257/M | ₽1 798 |
| qwen3.6 27b | qwen | ₽35.95/M | ₽216/M | ₽1 798 |
| glm 4.7 | z ai | ₽48.79/M | ₽176/M | ₽1 854 |
| Gemini 3 Flash | gemini 3 flash | ₽37.66/M | ₽226/M | ₽1 883 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽42.80/M | ₽214/M | ₽1 926 |
| dola seed 2 1 turbo 260628 | dola seed 2 1 turbo 260628 | ₽42.80/M | ₽214/M | ₽1 926 |
| GLM-5 | glm 5 | ₽45.54/M | ₽205/M | ₽1 935 |
| DeepSeek R1 | deepseek r1 | ₽48.79/M | ₽195/M | ₽1 952 |
| kimi k2.6 | moonshotai | ₽48.79/M | ₽195/M | ₽1 952 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽48.79/M | ₽195/M | ₽1 952 |
| qwen3.7 plus | qwen | ₽48.79/M | ₽195/M | ₽1 952 |
| grok build 0.1 | x ai | ₽68.48/M | ₽137/M | ₽2 054 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽42.80/M | ₽257/M | ₽2 140 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽42.80/M | ₽257/M | ₽2 140 |
| gpt 5.4 mini | openai | ₽44.94/M | ₽270/M | ₽2 247 |
| Kimi K2.5 | kimi k2.5 | ₽48.79/M | ₽256/M | ₽2 257 |
| qwen3 32b | qwen | ₽34.24/M | ₽342/M | ₽2 397 |
| qwq plus | qwq plus | ₽68.48/M | ₽205/M | ₽2 397 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽85.60/M | ₽171/M | ₽2 568 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 multi agent | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.20 non reasoning | grok 4.20 non reasoning | ₽85.60/M | ₽171/M | ₽2 568 |
| grok 4.3 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| glm 5.1 | z ai | ₽68.31/M | ₽273/M | ₽2 732 |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| mimo v2 pro | mimo v2 pro | ₽85.60/M | ₽257/M | ₽2 996 |
| qwen3 coder flash | qwen | ₽42.80/M | ₽428/M | ₽2 996 |
| kimi k2.7 code | moonshotai | ₽77.25/M | ₽324/M | ₽3 167 |
| glm 5.2 | z ai | ₽92.87/M | ₽325/M | ₽3 483 |
| Qwen3-Omni Flash | alibaba | ₽51.36/M | ₽514/M | ₽3 595 |
| gpt 5.1 codex mini | openai | ₽107/M | ₽321/M | ₽3 745 |
| deepseek v4 pro | deepseek | ₽107/M | ₽322/M | ₽3 757 |
| O1 Mini | o1 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| claude sonnet 5 | anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| qvq max | qvq max | ₽103/M | ₽411/M | ₽4 109 |
| deepseek v4 pro 260425 | deepseek v4 pro 260425 | ₽149/M | ₽298/M | ₽4 468 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| Qwen3.5-Omni Plus | alibaba | ₽103/M | ₽514/M | ₽4 622 |
| qwen3.8 max | qwen | ₽134/M | ₽403/M | ₽4 696 |
| grok 4.5 | x ai | ₽137/M | ₽411/M | ₽4 794 |
| grok 4.6 | grok 4.6 | ₽137/M | ₽411/M | ₽4 794 |
| qwen3.7 max | qwen | ₽139/M | ₽418/M | ₽4 878 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽197/M | ₽197/M | ₽4 922 |
| Qwen3.6 Max | qwen3.6 max | ₽110/M | ₽657/M | ₽5 478 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽128/M | ₽642/M | ₽5 778 |
| gemini 3.6 flash | ₽128/M | ₽642/M | ₽5 778 | |
| gpt 5.6 terra | openai | ₽120/M | ₽719/M | ₽5 992 |
| qwen3 235b a22b | qwen | ₽85.60/M | ₽856/M | ₽5 992 |
| Qwen3 235B A22B Instruct | alibaba | ₽85.60/M | ₽856/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽334/M | ₽6 805 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | openai | ₽171/M | ₽685/M | ₽6 848 |
| Qwen-MT Plus | alibaba | ₽171/M | ₽685/M | ₽6 848 |
| gpt 5.4 | openai | ₽150/M | ₽899/M | ₽7 490 |
| Gemini 3 Pro | gemini 3 pro | ₽154/M | ₽924/M | ₽7 704 |
| gemini 3.1 pro | ₽154/M | ₽924/M | ₽7 704 | |
| gemini 3.1 pro preview customtools | ₽154/M | ₽924/M | ₽7 704 | |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Claude Opus 4.5 | claude opus 4 5 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 | claude opus 4 6 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 | claude opus 4 7 | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 4.8 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 5 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| O3 | o3 | ₽257/M | ₽1 027/M | ₽10 272 |
| Claude Sonnet 4 | claude sonnet 4 | ₽244/M | ₽1 220/M | ₽10 978 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽244/M | ₽1 220/M | ₽10 978 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽257/M | ₽1 284/M | ₽11 556 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽475/M | ₽475/M | ₽11 877 |
| qwen3 coder plus | qwen | ₽171/M | ₽1 712/M | ₽11 984 |
| gpt 5.5 | openai | ₽300/M | ₽1 798/M | ₽14 980 |
| gpt 5.6 sol | openai | ₽300/M | ₽1 798/M | ₽14 980 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽709/M | ₽709/M | ₽17 719 |
| claude fable 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| chat latest | chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| chatgpt image latest | chatgpt image latest | ₽428/M | ₽2 739/M | ₽22 256 |
| gpt image 1.5 | openai | ₽428/M | ₽2 739/M | ₽22 256 |
| Wan 2.6 Reference-to-Video | alibaba | ₽899/M | ₽899/M | ₽22 470 |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽899/M | ₽899/M | ₽22 470 |
| Wan2.7 R2v | wan2.7 r2v | ₽899/M | ₽899/M | ₽22 470 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽899/M | ₽899/M | ₽22 470 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| tts 1 | openai | ₽2 568/M | ₽2 568/M | ₽64 201 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| tts 1 hd | openai | ₽5 136/M | ₽5 136/M | ₽128 401 |
| GPT 4 32K | gpt 4 32k | ₽5 136/M | ₽10 272/M | ₽154 081 |
Изображения
за изображение · 22
▼
Изображения
за изображение · 22
| Модель | Maker | Цена |
|---|---|---|
| Flux 2 Klein 4b | black forest labs | ₽0.86/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽0.86/изобр. |
| flux dev | flux dev | ₽1.71/изобр. |
| gemini 2.5 flash image | ₽1.71/изобр. | |
| gemini 3.1 flash lite image | ₽2.14/изобр. | |
| Flux 2 Pro | black forest labs | ₽2.57/изобр. |
| gpt image 2 | gpt image 2 | ₽2.57/изобр. |
| flux kontext pro | flux kontext pro | ₽3.00/изобр. |
| seedream 4 0 250828 | seedream 4 0 250828 | ₽3.00/изобр. |
| seedream 5 0 260128 | seedream 5 0 260128 | ₽3.00/изобр. |
| seedream 4 5 251128 | seedream 4 5 251128 | ₽3.42/изобр. |
| gemini 3.1 flash image | ₽4.71/изобр. | |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽4.71/изобр. |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽4.71/изобр. |
| FLUX.2 [flex] | black forest labs | ₽5.14/изобр. |
| Flux Kontext Max | flux kontext max | ₽5.99/изобр. |
| FLUX.2 [max] | black forest labs | ₽5.99/изобр. |
| gemini 3 pro image | ₽7.70/изобр. | |
| gemini 3 pro image preview 1k | gemini 3 pro image preview 1k | ₽7.70/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.70/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽7.70/изобр. |
| seedream 5 0 pro 260628 | seedream 5 0 pro 260628 | ₽10.27/изобр. |
За запрос
фиксированная цена за вызов · 5
▼
За запрос
фиксированная цена за вызов · 5
| Модель | Maker | Цена |
|---|---|---|
| multimodal embedding v1 | multimodal embedding v1 | ₽0.0086/вызов |
| qwen3 vl embedding | qwen3 vl embedding | ₽0.0086/вызов |
| gpt 5.1 codex | openai | ₽1.71/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽25.68/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽103/вызов |
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. API易 — list-format New API; group_ratio зависит от маршрута (Aliyun ×0.95, NanoBananaEnterprise ×1.4 и др.).
О провайдере
О сервисе
API易 — один из китайских OneAPI-агрегаторов из ресёрча 2026-06. Каталог компактнее V-API (gpt.ge), но с акцентом на CN-upstream (Aliyun, ChinaOpenSource) и специализированные группы для Claude Code, Codex и видео (Wan, SeeDance2). На AI-APISHKA цены пересчитаны в $/1M по минимальному group_ratio из enable_groups.
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. Сравнивайте с V-API (gpt.ge) и CherryIN — одинаковое имя модели не гарантирует одинаковый ratio.
Частые вопросы
- API易 — flat или ratio pricing?
- OneAPI ratio (model_ratio, completion_ratio, group_ratio). На AI-APISHKA — пересчёт в $/1M для сравнения.
- Чем API易 отличается от V-API (gpt.ge)?
- Оба New API list-format, но разные каталоги (346 vs 611) и group_ratio. V-API сильнее в Claude-группах и per-call image/video.
- Где документация API易?
- docs.apiyi.com — OpenAI-compatible API на api.apiyi.com.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
API易 предлагает 215 моделей AI API. Средняя цена — ₽367/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.86/M (Bge M3).
Сравните цены на multimodal embedding v1 , qwen3 vl embedding , Flux 2 Klein 4b , Flux 2 Klein 9b и flux dev у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.