API易 — китайский New API-агрегатор, 346 моделей, Claude/Codex-группы
- Моделей
- 234
- Средняя цена
- ₽463/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 = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
234 моделей
Текст и чат
оплата за токены · 204
▼
Текст и чат
оплата за токены · 204
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge Reranker V2 M3 | BAAI | ₽0.78/M | ₽0.78/M | ₽19 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽39 |
| Wan2.7 I2v | wan2.7 i2v | ₽1.87/M | ₽1.87/M | ₽47 |
| Wan2.7 T2v | wan2.7 t2v | ₽1.87/M | ₽1.87/M | ₽47 |
| qwen vl ocr | qwen vl ocr | ₽3.43/M | ₽5.73/M | ₽97 |
| Text Embedding V1 | text embedding 004 | ₽5.46/M | ₽5.46/M | ₽136 |
| Qwen3.5 Flash | qwen3.5 flash | ₽2.34/M | ₽23.39/M | ₽164 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽195 |
| Qwen Long | qwen long | ₽5.46/M | ₽21.83/M | ₽218 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| seed 1 6 flash 250615 | seed 1 6 flash 250615 | ₽5.85/M | ₽23.39/M | ₽234 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.85/M | ₽23.39/M | ₽234 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽253 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3.5 35b a3b | qwen | ₽4.68/M | ₽37.42/M | ₽281 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽8.89/M | ₽22.22/M | ₽289 |
| deepseek v4 flash | deepseek | ₽10.37/M | ₽20.74/M | ₽311 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| gpt oss 20b | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| seed 2 0 mini 260215 | seed 2 0 mini 260215 | ₽7.80/M | ₽31.18/M | ₽312 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽7.80/M | ₽31.18/M | ₽312 |
| Wan2.6 I2v | wan2.6 i2v | ₽13.10/M | ₽13.10/M | ₽327 |
| Wan2.6 T2v | wan2.6 t2v | ₽13.10/M | ₽13.10/M | ₽327 |
| Omni Moderation | omni moderation latest | ₽15.59/M | ₽15.59/M | ₽390 |
| Text Moderation Stable | text moderation stable | ₽15.59/M | ₽15.59/M | ₽390 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽35.08/M | ₽409 |
| qwen3.5 27b | qwen | ₽7.02/M | ₽56.13/M | ₽421 |
| qwen3.5 plus | qwen3.5 plus | ₽8.89/M | ₽53.32/M | ₽444 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen3 VL Flash | qwen3 vl flash | ₽7.80/M | ₽62.37/M | ₽468 |
| Qwen Mt Turbo | qwen mt turbo | ₽15.59/M | ₽38.98/M | ₽507 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| Qwen Turbo | qwen turbo | ₽15.59/M | ₽46.77/M | ₽546 |
| qwen vl plus | qwen vl plus | ₽15.59/M | ₽46.77/M | ₽546 |
| seed 1 6 250615 | seed 1 6 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| qwen3.5 122b a10b | qwen | ₽9.35/M | ₽74.84/M | ₽561 |
| Longcat Flash Chat | LongCat Flash Chat | ₽19.49/M | ₽38.98/M | ₽585 |
| deepseek v3.2 | deepseek | ₽21.83/M | ₽32.74/M | ₽600 |
| qwen vl max | qwen vl max | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 30b a3b instruct 2507 | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 30b a3b instruct | qwen | ₽9.35/M | ₽93.55/M | ₽655 |
| qwen3.6 flash | qwen | ₽13.25/M | ₽79.52/M | ₽663 |
| deepseek ocr | deepseek ocr | ₽23.39/M | ₽46.77/M | ₽702 |
| glm 4.5 air | z ai | ₽15.59/M | ₽77.96/M | ₽702 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| qwen3.5 397b a17b | qwen | ₽14.03/M | ₽84.19/M | ₽702 |
| qvq plus | qvq plus | ₽21.83/M | ₽54.57/M | ₽709 |
| DeepSeek Chat (V3) | deepseek chat | ₽19.49/M | ₽77.96/M | ₽780 |
| DeepSeek V3 | deepseek search | ₽19.49/M | ₽77.96/M | ₽780 |
| deepseek v3 250324 | deepseek v3 250324 | ₽19.49/M | ₽77.96/M | ₽780 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| gemini embedding 2 | gemini embedding 2 | ₽23.39/M | ₽70.16/M | ₽819 |
| minimax m2.7 | minimax | ₽22.22/M | ₽88.87/M | ₽889 |
| minimax m3 | minimax | ₽22.22/M | ₽88.87/M | ₽889 |
| grok code fast | grok code fast | ₽15.59/M | ₽117/M | ₽897 |
| Grok Code Fast 1 | grok code fast 1 | ₽15.59/M | ₽117/M | ₽897 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| deepseek v4 pro | deepseek | ₽32.22/M | ₽64.43/M | ₽966 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| qwen3.6 35b a3b | qwen | ₽20.27/M | ₽122/M | ₽1 013 |
| Qwen Plus | qwen plus | ₽31.18/M | ₽93.55/M | ₽1 091 |
| qwen3 30b a3b | qwen | ₽15.59/M | ₽156/M | ₽1 091 |
| qwen3.6 plus | qwen | ₽22.22/M | ₽133/M | ₽1 111 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 8 251228 | seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 2 0 lite 260228 | seed 2 0 lite 260228 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| deepseek v3 1 250821 | deepseek v3 1 250821 | ₽38.98/M | ₽117/M | ₽1 364 |
| DeepSeek-V3.1 | deepseek v3 1 | ₽38.98/M | ₽117/M | ₽1 364 |
| glm 4.5v | z ai | ₽38.98/M | ₽117/M | ₽1 364 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽187/M | ₽1 403 |
| mimo v2 omni | mimo v2 omni | ₽31.18/M | ₽156/M | ₽1 403 |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | ₽23.39/M | ₽187/M | ₽1 403 |
| Qwen3 VL Plus | qwen3 vl plus | ₽23.39/M | ₽187/M | ₽1 403 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽38.98/M | ₽156/M | ₽1 559 |
| deepseek v3.1 terminus | deepseek | ₽38.98/M | ₽156/M | ₽1 559 |
| glm 4.5 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| glm 4.6 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| gpt oss 120b | openai | ₽38.98/M | ₽156/M | ₽1 559 |
| gpt oss 120b 1 | gpt oss 120b 1 | ₽38.98/M | ₽156/M | ₽1 559 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽23.39/M | ₽234/M | ₽1 637 |
| qwen3 vl 32b instruct | qwen | ₽23.39/M | ₽234/M | ₽1 637 |
| qwen3.6 27b | qwen | ₽32.74/M | ₽196/M | ₽1 637 |
| glm 4.7 | z ai | ₽44.44/M | ₽160/M | ₽1 689 |
| Gemini 3 Flash | gemini 3 flash | ₽34.30/M | ₽206/M | ₽1 715 |
| GLM-5 | glm 5 | ₽41.47/M | ₽187/M | ₽1 763 |
| DeepSeek R1 | deepseek r1 | ₽44.44/M | ₽178/M | ₽1 777 |
| deepseek r1 250528 | deepseek r1 250528 | ₽44.44/M | ₽178/M | ₽1 777 |
| kimi k2.6 | moonshotai | ₽44.44/M | ₽178/M | ₽1 777 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽44.44/M | ₽178/M | ₽1 777 |
| qwen3.7 plus | qwen | ₽44.44/M | ₽178/M | ₽1 777 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽38.98/M | ₽234/M | ₽1 949 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽38.98/M | ₽234/M | ₽1 949 |
| gpt 5.4 mini | openai | ₽40.93/M | ₽246/M | ₽2 046 |
| Kimi K2.5 | kimi k2.5 | ₽44.44/M | ₽233/M | ₽2 055 |
| qwen3 32b | qwen | ₽31.18/M | ₽312/M | ₽2 183 |
| qwq plus | qwq plus | ₽62.37/M | ₽187/M | ₽2 183 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽77.96/M | ₽156/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| glm 5.1 | z ai | ₽62.21/M | ₽249/M | ₽2 488 |
| Kimi K2 | kimi k2 | ₽62.37/M | ₽249/M | ₽2 495 |
| kimi k2 250711 | kimi k2 250711 | ₽62.37/M | ₽249/M | ₽2 495 |
| gpt 5.6 luna | openai | ₽54.57/M | ₽327/M | ₽2 728 |
| mimo v2 pro | mimo v2 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| qwen3 coder flash | qwen | ₽38.98/M | ₽390/M | ₽2 728 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | grok 4 20 non reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽311/M | ₽3 036 |
| qwen3 omni flash | qwen3 omni flash | ₽46.77/M | ₽468/M | ₽3 274 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽74.06/M | ₽370/M | ₽3 333 |
| glm 5.2 | z ai | ₽89.03/M | ₽312/M | ₽3 338 |
| gpt 5.1 codex mini | openai | ₽97.45/M | ₽292/M | ₽3 411 |
| O1 Mini | o1 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini low | o3 mini low | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini medium | o3 mini medium | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| qvq max | qvq max | ₽93.55/M | ₽374/M | ₽3 742 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| qwen3.7 max | qwen | ₽127/M | ₽381/M | ₽4 443 |
| GPT-4o Mini Transcribe | openai | ₽117/M | ₽468/M | ₽4 677 |
| Qwen3.6 Max | Qwen3.6 Max | ₽99.78/M | ₽599/M | ₽4 989 |
| Qwen Max | qwen max | ₽125/M | ₽499/M | ₽4 989 |
| grok 4.5 | x ai | ₽156/M | ₽468/M | ₽5 457 |
| qwen3 235b a22b | qwen | ₽77.96/M | ₽780/M | ₽5 457 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽77.96/M | ₽780/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽304/M | ₽6 198 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽156/M | ₽624/M | ₽6 237 |
| gpt image 1 mini | openai | ₽156/M | ₽624/M | ₽6 237 |
| Qwen Max Longcontext | qwen max longcontext | ₽249/M | ₽249/M | ₽6 237 |
| Qwen Mt Plus | qwen mt plus | ₽156/M | ₽624/M | ₽6 237 |
| claude sonnet 5 | anthropic | ₽148/M | ₽741/M | ₽6 665 |
| gpt 5.4 | openai | ₽136/M | ₽819/M | ₽6 821 |
| gpt 5.6 terra | openai | ₽136/M | ₽819/M | ₽6 821 |
| Gemini 3 Pro | gemini 3 pro | ₽140/M | ₽842/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽140/M | ₽842/M | ₽7 016 |
| gemini 3.1 pro preview customtools | ₽140/M | ₽842/M | ₽7 016 | |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽323/M | ₽323/M | ₽8 069 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽77.96/M | ₽1 559/M | ₽9 355 |
| O3 | o3 | ₽234/M | ₽935/M | ₽9 355 |
| Claude Sonnet 4 | claude sonnet 4 | ₽222/M | ₽1 111/M | ₽9 998 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽222/M | ₽1 111/M | ₽9 998 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽222/M | ₽1 111/M | ₽9 998 |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽234/M | ₽1 169/M | ₽10 524 |
| qwen3 coder plus | qwen | ₽156/M | ₽1 559/M | ₽10 914 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽519/M | ₽519/M | ₽12 980 |
| gpt 5.5 | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽273/M | ₽1 637/M | ₽13 642 |
| gpt 5.6 sol | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽645/M | ₽645/M | ₽16 137 |
| Claude Opus 4.5 | claude opus 4 5 | ₽370/M | ₽1 851/M | ₽16 663 |
| Claude Opus 4.6 | claude opus 4 6 | ₽370/M | ₽1 851/M | ₽16 663 |
| Claude Opus 4.7 | claude opus 4 7 | ₽370/M | ₽1 851/M | ₽16 663 |
| claude opus 4.8 | anthropic | ₽370/M | ₽1 851/M | ₽16 663 |
| GPT-4o Transcribe | openai | ₽624/M | ₽1 247/M | ₽18 710 |
| chat latest | chat latest | ₽390/M | ₽2 339/M | ₽19 489 |
| chatgpt image latest | chatgpt image latest | ₽390/M | ₽2 495/M | ₽20 269 |
| gpt image 1.5 | openai | ₽390/M | ₽2 495/M | ₽20 269 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽819/M | ₽819/M | ₽20 464 |
| wan2.6 r2v | wan2.6 r2v | ₽819/M | ₽819/M | ₽20 464 |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽819/M | ₽819/M | ₽20 464 |
| Wan2.7 R2v | wan2.7 r2v | ₽819/M | ₽819/M | ₽20 464 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽819/M | ₽819/M | ₽20 464 |
| gpt image 1 | openai | ₽390/M | ₽3 118/M | ₽23 387 |
| claude fable 5 | anthropic | ₽741/M | ₽3 703/M | ₽33 327 |
| o3 deep research | openai | ₽935/M | ₽3 742/M | ₽37 419 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 111/M | ₽5 554/M | ₽49 990 |
| tts 1 | openai | ₽2 339/M | ₽2 339/M | ₽58 468 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| DALL E 3 | DALL E 3 | ₽3 118/M | ₽3 118/M | ₽77 957 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| tts 1 hd | openai | ₽4 677/M | ₽4 677/M | ₽116 935 |
| GPT 4 32K | gpt 4 32k | ₽4 677/M | ₽9 355/M | ₽140 322 |
| o1 pro | openai | ₽14 032/M | ₽56 129/M | ₽561 289 |
Изображения
за изображение · 24
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Изображения
за изображение · 24
| Модель | Maker | Цена |
|---|---|---|
| Flux 2 Klein 4b | black forest labs | ₽0.78/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽0.78/изобр. |
| Flux Dev | Flux Dev | ₽1.56/изобр. |
| gemini 2.5 flash image | ₽1.56/изобр. | |
| gemini 3.1 flash lite image | ₽1.95/изобр. | |
| Flux 2 Pro | black forest labs | ₽2.34/изобр. |
| gpt image 2 | gpt image 2 | ₽2.34/изобр. |
| flux kontext pro | flux kontext pro | ₽2.73/изобр. |
| Flux Pro 1.1 | Flux Pro 1.1 | ₽2.73/изобр. |
| seedream 4 0 250828 | seedream 4 0 250828 | ₽2.73/изобр. |
| seedream 5 0 260128 | seedream 5 0 260128 | ₽2.73/изобр. |
| Flux pro | flux pro | ₽3.12/изобр. |
| seedream 4 5 251128 | seedream 4 5 251128 | ₽3.12/изобр. |
| Flux pro 1.1 ultra | flux pro 1 1 ultra | ₽3.90/изобр. |
| gemini 3.1 flash image | ₽4.29/изобр. | |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽4.29/изобр. |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽4.29/изобр. |
| FLUX.2 [flex] | black forest labs | ₽4.68/изобр. |
| Flux Kontext Max | flux kontext max | ₽5.46/изобр. |
| FLUX.2 [max] | black forest labs | ₽5.46/изобр. |
| gemini 3 pro image | ₽7.02/изобр. | |
| gemini 3 pro image preview 1k | gemini 3 pro image preview 1k | ₽7.02/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.02/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽7.02/изобр. |
За запрос
фиксированная цена за вызов · 6
▼
За запрос
фиксированная цена за вызов · 6
| Модель | Maker | Цена |
|---|---|---|
| multimodal embedding v1 | multimodal embedding v1 | ₽0.0078/вызов |
| qwen3 vl embedding | qwen3 vl embedding | ₽0.0078/вызов |
| gpt 5.1 codex | openai | ₽1.56/вызов |
| gpt 5.1 codex max | openai | ₽1.56/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽23.39/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽93.55/вызов |
Текст и чат
оплата за токены · 204
▼
Текст и чат
оплата за токены · 204
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge Reranker V2 M3 | BAAI | ₽0.78/M | ₽0.78/M | ₽19 |
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽39 |
| Wan2.7 I2v | wan2.7 i2v | ₽1.87/M | ₽1.87/M | ₽47 |
| Wan2.7 T2v | wan2.7 t2v | ₽1.87/M | ₽1.87/M | ₽47 |
| qwen vl ocr | qwen vl ocr | ₽3.43/M | ₽5.73/M | ₽97 |
| Text Embedding V1 | text embedding 004 | ₽5.46/M | ₽5.46/M | ₽136 |
| Qwen3.5 Flash | qwen3.5 flash | ₽2.34/M | ₽23.39/M | ₽164 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽195 |
| Qwen Long | qwen long | ₽5.46/M | ₽21.83/M | ₽218 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| seed 1 6 flash 250615 | seed 1 6 flash 250615 | ₽5.85/M | ₽23.39/M | ₽234 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.85/M | ₽23.39/M | ₽234 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽253 |
| Step 3.5 Flash | step 3.5 flash | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3.5 35b a3b | qwen | ₽4.68/M | ₽37.42/M | ₽281 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽8.89/M | ₽22.22/M | ₽289 |
| deepseek v4 flash | deepseek | ₽10.37/M | ₽20.74/M | ₽311 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| gpt oss 20b | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| seed 2 0 mini 260215 | seed 2 0 mini 260215 | ₽7.80/M | ₽31.18/M | ₽312 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽7.80/M | ₽31.18/M | ₽312 |
| Wan2.6 I2v | wan2.6 i2v | ₽13.10/M | ₽13.10/M | ₽327 |
| Wan2.6 T2v | wan2.6 t2v | ₽13.10/M | ₽13.10/M | ₽327 |
| Omni Moderation | omni moderation latest | ₽15.59/M | ₽15.59/M | ₽390 |
| Text Moderation Stable | text moderation stable | ₽15.59/M | ₽15.59/M | ₽390 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽35.08/M | ₽409 |
| qwen3.5 27b | qwen | ₽7.02/M | ₽56.13/M | ₽421 |
| qwen3.5 plus | qwen3.5 plus | ₽8.89/M | ₽53.32/M | ₽444 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Qwen3 VL Flash | qwen3 vl flash | ₽7.80/M | ₽62.37/M | ₽468 |
| Qwen Mt Turbo | qwen mt turbo | ₽15.59/M | ₽38.98/M | ₽507 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| Qwen Turbo | qwen turbo | ₽15.59/M | ₽46.77/M | ₽546 |
| qwen vl plus | qwen vl plus | ₽15.59/M | ₽46.77/M | ₽546 |
| seed 1 6 250615 | seed 1 6 250615 | ₽7.80/M | ₽77.96/M | ₽546 |
| qwen3.5 122b a10b | qwen | ₽9.35/M | ₽74.84/M | ₽561 |
| Longcat Flash Chat | LongCat Flash Chat | ₽19.49/M | ₽38.98/M | ₽585 |
| deepseek v3.2 | deepseek | ₽21.83/M | ₽32.74/M | ₽600 |
| qwen vl max | qwen vl max | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 30b a3b instruct 2507 | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3 vl 30b a3b instruct | qwen | ₽9.35/M | ₽93.55/M | ₽655 |
| qwen3.6 flash | qwen | ₽13.25/M | ₽79.52/M | ₽663 |
| deepseek ocr | deepseek ocr | ₽23.39/M | ₽46.77/M | ₽702 |
| glm 4.5 air | z ai | ₽15.59/M | ₽77.96/M | ₽702 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| qwen3.5 397b a17b | qwen | ₽14.03/M | ₽84.19/M | ₽702 |
| qvq plus | qvq plus | ₽21.83/M | ₽54.57/M | ₽709 |
| DeepSeek Chat (V3) | deepseek chat | ₽19.49/M | ₽77.96/M | ₽780 |
| DeepSeek V3 | deepseek search | ₽19.49/M | ₽77.96/M | ₽780 |
| deepseek v3 250324 | deepseek v3 250324 | ₽19.49/M | ₽77.96/M | ₽780 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| gemini embedding 2 | gemini embedding 2 | ₽23.39/M | ₽70.16/M | ₽819 |
| minimax m2.7 | minimax | ₽22.22/M | ₽88.87/M | ₽889 |
| minimax m3 | minimax | ₽22.22/M | ₽88.87/M | ₽889 |
| grok code fast | grok code fast | ₽15.59/M | ₽117/M | ₽897 |
| Grok Code Fast 1 | grok code fast 1 | ₽15.59/M | ₽117/M | ₽897 |
| minimax m2.1 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| deepseek v4 pro | deepseek | ₽32.22/M | ₽64.43/M | ₽966 |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| qwen3.6 35b a3b | qwen | ₽20.27/M | ₽122/M | ₽1 013 |
| Qwen Plus | qwen plus | ₽31.18/M | ₽93.55/M | ₽1 091 |
| qwen3 30b a3b | qwen | ₽15.59/M | ₽156/M | ₽1 091 |
| qwen3.6 plus | qwen | ₽22.22/M | ₽133/M | ₽1 111 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 8 251228 | seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 2 0 lite 260228 | seed 2 0 lite 260228 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽19.49/M | ₽156/M | ₽1 169 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| deepseek v3 1 250821 | deepseek v3 1 250821 | ₽38.98/M | ₽117/M | ₽1 364 |
| DeepSeek-V3.1 | deepseek v3 1 | ₽38.98/M | ₽117/M | ₽1 364 |
| glm 4.5v | z ai | ₽38.98/M | ₽117/M | ₽1 364 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽187/M | ₽1 403 |
| mimo v2 omni | mimo v2 omni | ₽31.18/M | ₽156/M | ₽1 403 |
| MiniMax M2.5 lightning | MiniMax M2.5 lightning | ₽23.39/M | ₽187/M | ₽1 403 |
| Qwen3 VL Plus | qwen3 vl plus | ₽23.39/M | ₽187/M | ₽1 403 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽38.98/M | ₽156/M | ₽1 559 |
| deepseek v3.1 terminus | deepseek | ₽38.98/M | ₽156/M | ₽1 559 |
| glm 4.5 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| glm 4.6 | z ai | ₽38.98/M | ₽156/M | ₽1 559 |
| gpt oss 120b | openai | ₽38.98/M | ₽156/M | ₽1 559 |
| gpt oss 120b 1 | gpt oss 120b 1 | ₽38.98/M | ₽156/M | ₽1 559 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽23.39/M | ₽234/M | ₽1 637 |
| qwen3 vl 32b instruct | qwen | ₽23.39/M | ₽234/M | ₽1 637 |
| qwen3.6 27b | qwen | ₽32.74/M | ₽196/M | ₽1 637 |
| glm 4.7 | z ai | ₽44.44/M | ₽160/M | ₽1 689 |
| Gemini 3 Flash | gemini 3 flash | ₽34.30/M | ₽206/M | ₽1 715 |
| GLM-5 | glm 5 | ₽41.47/M | ₽187/M | ₽1 763 |
| DeepSeek R1 | deepseek r1 | ₽44.44/M | ₽178/M | ₽1 777 |
| deepseek r1 250528 | deepseek r1 250528 | ₽44.44/M | ₽178/M | ₽1 777 |
| kimi k2.6 | moonshotai | ₽44.44/M | ₽178/M | ₽1 777 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽44.44/M | ₽178/M | ₽1 777 |
| qwen3.7 plus | qwen | ₽44.44/M | ₽178/M | ₽1 777 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽38.98/M | ₽234/M | ₽1 949 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽38.98/M | ₽234/M | ₽1 949 |
| gpt 5.4 mini | openai | ₽40.93/M | ₽246/M | ₽2 046 |
| Kimi K2.5 | kimi k2.5 | ₽44.44/M | ₽233/M | ₽2 055 |
| qwen3 32b | qwen | ₽31.18/M | ₽312/M | ₽2 183 |
| qwq plus | qwq plus | ₽62.37/M | ₽187/M | ₽2 183 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽77.96/M | ₽156/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| glm 5.1 | z ai | ₽62.21/M | ₽249/M | ₽2 488 |
| Kimi K2 | kimi k2 | ₽62.37/M | ₽249/M | ₽2 495 |
| kimi k2 250711 | kimi k2 250711 | ₽62.37/M | ₽249/M | ₽2 495 |
| gpt 5.6 luna | openai | ₽54.57/M | ₽327/M | ₽2 728 |
| mimo v2 pro | mimo v2 pro | ₽77.96/M | ₽234/M | ₽2 728 |
| qwen3 coder flash | qwen | ₽38.98/M | ₽390/M | ₽2 728 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.20 multi agent | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | grok 4 20 non reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽311/M | ₽3 036 |
| qwen3 omni flash | qwen3 omni flash | ₽46.77/M | ₽468/M | ₽3 274 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽74.06/M | ₽370/M | ₽3 333 |
| glm 5.2 | z ai | ₽89.03/M | ₽312/M | ₽3 338 |
| gpt 5.1 codex mini | openai | ₽97.45/M | ₽292/M | ₽3 411 |
| O1 Mini | o1 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini high | openai | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini low | o3 mini low | ₽85.75/M | ₽343/M | ₽3 430 |
| o3 mini medium | o3 mini medium | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| qvq max | qvq max | ₽93.55/M | ₽374/M | ₽3 742 |
| Qwen3 Max | qwen3 max | ₽93.55/M | ₽468/M | ₽4 210 |
| qwen3.7 max | qwen | ₽127/M | ₽381/M | ₽4 443 |
| GPT-4o Mini Transcribe | openai | ₽117/M | ₽468/M | ₽4 677 |
| Qwen3.6 Max | Qwen3.6 Max | ₽99.78/M | ₽599/M | ₽4 989 |
| Qwen Max | qwen max | ₽125/M | ₽499/M | ₽4 989 |
| grok 4.5 | x ai | ₽156/M | ₽468/M | ₽5 457 |
| qwen3 235b a22b | qwen | ₽77.96/M | ₽780/M | ₽5 457 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽77.96/M | ₽780/M | ₽5 457 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex high | gpt 5.1 codex high | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex medium | gpt 5.1 codex medium | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 3.5 turbo 16k | openai | ₽234/M | ₽304/M | ₽6 198 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| GPT 4o Mini Audio Preview | gpt 4o mini audio preview | ₽156/M | ₽624/M | ₽6 237 |
| gpt image 1 mini | openai | ₽156/M | ₽624/M | ₽6 237 |
| Qwen Max Longcontext | qwen max longcontext | ₽249/M | ₽249/M | ₽6 237 |
| Qwen Mt Plus | qwen mt plus | ₽156/M | ₽624/M | ₽6 237 |
| claude sonnet 5 | anthropic | ₽148/M | ₽741/M | ₽6 665 |
| gpt 5.4 | openai | ₽136/M | ₽819/M | ₽6 821 |
| gpt 5.6 terra | openai | ₽136/M | ₽819/M | ₽6 821 |
| Gemini 3 Pro | gemini 3 pro | ₽140/M | ₽842/M | ₽7 016 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽140/M | ₽842/M | ₽7 016 |
| gemini 3.1 pro preview customtools | ₽140/M | ₽842/M | ₽7 016 | |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| Doubao Seedance 2.0 Mini 260615 | doubao seedance 2 0 mini 260615 | ₽323/M | ₽323/M | ₽8 069 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽77.96/M | ₽1 559/M | ₽9 355 |
| O3 | o3 | ₽234/M | ₽935/M | ₽9 355 |
| Claude Sonnet 4 | claude sonnet 4 | ₽222/M | ₽1 111/M | ₽9 998 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽222/M | ₽1 111/M | ₽9 998 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽222/M | ₽1 111/M | ₽9 998 |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽234/M | ₽1 169/M | ₽10 524 |
| qwen3 coder plus | qwen | ₽156/M | ₽1 559/M | ₽10 914 |
| Doubao Seedance 2.0 Fast 260128 | doubao seedance 2 0 fast 260128 | ₽519/M | ₽519/M | ₽12 980 |
| gpt 5.5 | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| gpt 5.5 xhigh | gpt 5.5 xhigh | ₽273/M | ₽1 637/M | ₽13 642 |
| gpt 5.6 sol | openai | ₽273/M | ₽1 637/M | ₽13 642 |
| Doubao Seedance 2.0 260128 | doubao seedance 2 0 260128 | ₽645/M | ₽645/M | ₽16 137 |
| Claude Opus 4.5 | claude opus 4 5 | ₽370/M | ₽1 851/M | ₽16 663 |
| Claude Opus 4.6 | claude opus 4 6 | ₽370/M | ₽1 851/M | ₽16 663 |
| Claude Opus 4.7 | claude opus 4 7 | ₽370/M | ₽1 851/M | ₽16 663 |
| claude opus 4.8 | anthropic | ₽370/M | ₽1 851/M | ₽16 663 |
| GPT-4o Transcribe | openai | ₽624/M | ₽1 247/M | ₽18 710 |
| chat latest | chat latest | ₽390/M | ₽2 339/M | ₽19 489 |
| chatgpt image latest | chatgpt image latest | ₽390/M | ₽2 495/M | ₽20 269 |
| gpt image 1.5 | openai | ₽390/M | ₽2 495/M | ₽20 269 |
| Happyhorse 1.0 I2v | happyhorse 1.0 i2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 R2v | happyhorse 1.0 r2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 T2v | happyhorse 1.0 t2v | ₽819/M | ₽819/M | ₽20 464 |
| Happyhorse 1.0 Video Edit | happyhorse 1.0 video edit | ₽819/M | ₽819/M | ₽20 464 |
| wan2.6 r2v | wan2.6 r2v | ₽819/M | ₽819/M | ₽20 464 |
| wan2.6 r2v flash | wan2.6 r2v flash | ₽819/M | ₽819/M | ₽20 464 |
| Wan2.7 R2v | wan2.7 r2v | ₽819/M | ₽819/M | ₽20 464 |
| Wan2.7 Videoedit | wan2.7 videoedit | ₽819/M | ₽819/M | ₽20 464 |
| gpt image 1 | openai | ₽390/M | ₽3 118/M | ₽23 387 |
| claude fable 5 | anthropic | ₽741/M | ₽3 703/M | ₽33 327 |
| o3 deep research | openai | ₽935/M | ₽3 742/M | ₽37 419 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude Opus 4 | claude opus 4 | ₽1 111/M | ₽5 554/M | ₽49 990 |
| tts 1 | openai | ₽2 339/M | ₽2 339/M | ₽58 468 |
| o3 pro | openai | ₽1 559/M | ₽6 237/M | ₽62 365 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| DALL E 3 | DALL E 3 | ₽3 118/M | ₽3 118/M | ₽77 957 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| tts 1 hd | openai | ₽4 677/M | ₽4 677/M | ₽116 935 |
| GPT 4 32K | gpt 4 32k | ₽4 677/M | ₽9 355/M | ₽140 322 |
| o1 pro | openai | ₽14 032/M | ₽56 129/M | ₽561 289 |
Изображения
за изображение · 24
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Изображения
за изображение · 24
| Модель | Maker | Цена |
|---|---|---|
| Flux 2 Klein 4b | black forest labs | ₽0.78/изобр. |
| Flux 2 Klein 9b | black forest labs | ₽0.78/изобр. |
| Flux Dev | Flux Dev | ₽1.56/изобр. |
| gemini 2.5 flash image | ₽1.56/изобр. | |
| gemini 3.1 flash lite image | ₽1.95/изобр. | |
| Flux 2 Pro | black forest labs | ₽2.34/изобр. |
| gpt image 2 | gpt image 2 | ₽2.34/изобр. |
| flux kontext pro | flux kontext pro | ₽2.73/изобр. |
| Flux Pro 1.1 | Flux Pro 1.1 | ₽2.73/изобр. |
| seedream 4 0 250828 | seedream 4 0 250828 | ₽2.73/изобр. |
| seedream 5 0 260128 | seedream 5 0 260128 | ₽2.73/изобр. |
| Flux pro | flux pro | ₽3.12/изобр. |
| seedream 4 5 251128 | seedream 4 5 251128 | ₽3.12/изобр. |
| Flux pro 1.1 ultra | flux pro 1 1 ultra | ₽3.90/изобр. |
| gemini 3.1 flash image | ₽4.29/изобр. | |
| gemini 3.1 flash image 4k | gemini 3.1 flash image 4k | ₽4.29/изобр. |
| gemini 3.1 flash image preview 4k | gemini 3.1 flash image preview 4k | ₽4.29/изобр. |
| FLUX.2 [flex] | black forest labs | ₽4.68/изобр. |
| Flux Kontext Max | flux kontext max | ₽5.46/изобр. |
| FLUX.2 [max] | black forest labs | ₽5.46/изобр. |
| gemini 3 pro image | ₽7.02/изобр. | |
| gemini 3 pro image preview 1k | gemini 3 pro image preview 1k | ₽7.02/изобр. |
| gemini 3 pro image preview 2k | gemini 3 pro image preview 2k | ₽7.02/изобр. |
| gemini 3 pro image preview 4k | gemini 3 pro image preview 4k | ₽7.02/изобр. |
За запрос
фиксированная цена за вызов · 6
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За запрос
фиксированная цена за вызов · 6
| Модель | Maker | Цена |
|---|---|---|
| multimodal embedding v1 | multimodal embedding v1 | ₽0.0078/вызов |
| qwen3 vl embedding | qwen3 vl embedding | ₽0.0078/вызов |
| gpt 5.1 codex | openai | ₽1.56/вызов |
| gpt 5.1 codex max | openai | ₽1.56/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽23.39/вызов |
| veo 3.1 generate 001 | veo 3.1 generate 001 | ₽93.55/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 234 моделей AI API. Средняя цена — ₽463/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.78/M (Bge Reranker V2 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 16.07.2026.