RouterAI
Сайт ↗B2B-платформа: единый API, fallback-маршрутизация и юрлица
- Моделей
- 303
- Средняя цена
- ₽329/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
- Юрлица
- Да
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
303 моделей
Текст и чат
оплата за токены · 296
▼
Текст и чат
оплата за токены · 296
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.37/M | ₽0.37/M | ₽7 |
| all-minilm-l12-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| all-minilm-l6-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| all-mpnet-base-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| bge-base-en-v1.5 | baai | ₽0.47/M | ₽0.47/M | ₽9 |
| e5-base-v2 | intfloat | ₽0.47/M | ₽0.47/M | ₽9 |
| gte-base | thenlper | ₽0.47/M | ₽0.47/M | ₽9 |
| multi-qa-mpnet-base-dot-v1 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| paraphrase-minilm-l6-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| Bge Large En V1.5 | BAAI | ₽0.93/M | ₽0.93/M | ₽19 |
| Bge M3 | baai | ₽0.93/M | ₽0.93/M | ₽19 |
| e5-large-v2 | intfloat | ₽0.93/M | ₽0.93/M | ₽19 |
| gte-large | thenlper | ₽0.93/M | ₽0.93/M | ₽19 |
| multilingual-e5-large | intfloat | ₽0.93/M | ₽0.93/M | ₽19 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.93/M | ₽0.93/M | ₽19 |
| ling-2.6-flash | inclusionai | ₽0.93/M | ₽2.80/M | ₽33 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.87/M | ₽1.87/M | ₽37 |
| text embedding 3 small | openai | ₽1.87/M | ₽1.87/M | ₽37 |
| mistralai · mistral-nemo | mistralai | ₽1.87/M | ₽2.80/M | ₽51 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.80/M | ₽2.80/M | ₽56 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.87/M | ₽4.67/M | ₽61 |
| granite-4.0-h-micro | ibm granite | ₽1.59/M | ₽10.00/M | ₽82 |
| l3-lunaris-8b | sao10k | ₽3.74/M | ₽4.67/M | ₽98 |
| lfm-2-24b-a2b | liquid | ₽2.80/M | ₽11.00/M | ₽111 |
| gpt oss 20b | openai | ₽2.80/M | ₽12.00/M | ₽116 |
| qwen 2.5 7b instruct | qwen | ₽3.74/M | ₽9.00/M | ₽120 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.67/M | ₽7.00/M | ₽128 |
| Nova Micro V1 | amazon | ₽3.27/M | ₽13.00/M | ₽130 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.67/M | ₽9.00/M | ₽138 |
| granite-4.1-8b | ibm granite | ₽4.67/M | ₽9.00/M | ₽138 |
| gpt oss 120b | openai | ₽3.74/M | ₽13.00/M | ₽140 |
| gpt-oss-120b (exacto) | OpenAI | ₽3.74/M | ₽13.00/M | ₽140 |
| command r7b 12 2024 | cohere | ₽3.51/M | ₽14.00/M | ₽140 |
| Mythomax L2 13B | Gryphe | ₽5.61/M | ₽5.61/M | ₽140 |
| Llama 3.2 1B Preview | meta llama | ₽2.52/M | ₽18.00/M | ₽140 |
| trinity-mini | arcee ai | ₽4.21/M | ₽14.00/M | ₽154 |
| gemma 3 12b it | ₽4.67/M | ₽14.00/M | ₽163 | |
| gemma 3n e4b it | ₽5.61/M | ₽11.00/M | ₽167 | |
| mistral-embed-2312 | mistralai | ₽9.00/M | ₽9.00/M | ₽180 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.50/M | ₽18.00/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽9.00/M | ₽9.00/M | ₽180 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.67/M | ₽18.00/M | ₽183 |
| Phi 4 | microsoft | ₽6.00/M | ₽13.00/M | ₽185 |
| qwen3 235b a22b 2507 | qwen | ₽8.00/M | ₽9.00/M | ₽205 |
| gemma 3 27b it | ₽7.00/M | ₽14.00/M | ₽210 | |
| Hy3 Preview | hy3 preview | ₽5.89/M | ₽19.00/M | ₽213 |
| Nova Lite V1 | amazon | ₽5.61/M | ₽22.00/M | ₽222 |
| mistralai · ministral-3b-2512 | mistralai | ₽9.00/M | ₽9.00/M | ₽225 |
| reka-edge | rekaai | ₽9.00/M | ₽9.00/M | ₽225 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.00/M | ₽18.00/M | ₽230 |
| Qwen3.5 Flash | qwen3.5 flash | ₽6.00/M | ₽24.00/M | ₽240 |
| deepseek v4 flash | deepseek | ₽8.00/M | ₽16.00/M | ₽240 |
| text embedding 3 large | openai | ₽12.00/M | ₽12.00/M | ₽240 |
| qwen3 coder 30b a3b instruct | qwen | ₽6.00/M | ₽25.00/M | ₽245 |
| qwen3.5 9b | qwen | ₽9.00/M | ₽14.00/M | ₽250 |
| Llama 3.2 3B Preview | meta llama | ₽4.76/M | ₽31.00/M | ₽250 |
| gemma 4 26b a4b it | ₽5.61/M | ₽30.00/M | ₽262 | |
| qwen3 32b | qwen | ₽7.00/M | ₽26.00/M | ₽270 |
| reka-flash-3 | rekaai | ₽9.00/M | ₽18.00/M | ₽270 |
| ui-tars-1.5-7b | bytedance | ₽9.00/M | ₽18.00/M | ₽270 |
| gpt 5 nano | openai | ₽4.67/M | ₽37.00/M | ₽278 |
| qwen3 8b | qwen | ₽4.67/M | ₽37.00/M | ₽278 |
| codestral-embed-2505 | mistralai | ₽14.00/M | ₽14.00/M | ₽280 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽14.00/M | ₽14.00/M | ₽280 |
| gpt oss safeguard 20b | openai | ₽7.00/M | ₽28.00/M | ₽280 |
| seed-1.6-flash | bytedance seed | ₽7.00/M | ₽28.00/M | ₽280 |
| qwen3 14b | qwen | ₽9.00/M | ₽22.00/M | ₽290 |
| glm 4.7 flash | z ai | ₽5.61/M | ₽37.00/M | ₽297 |
| Phi 4 Mini Instruct | microsoft | ₽7.00/M | ₽32.00/M | ₽300 |
| Step 3.5 Flash | step 3.5 flash | ₽8.00/M | ₽28.00/M | ₽300 |
| llama 4 scout | meta llama | ₽9.00/M | ₽28.00/M | ₽320 |
| MiMo V2 Flash | mimo v2 flash | ₽9.00/M | ₽28.00/M | ₽320 |
| voxtral-small-24b-2507 | mistralai | ₽9.00/M | ₽28.00/M | ₽320 |
| llama 3 8b instruct | meta llama | ₽13.00/M | ₽13.00/M | ₽325 |
| Llama 3.3 70B | Llama 3.3 70B | ₽9.00/M | ₽29.00/M | ₽325 |
| qwen3 30b a3b | qwen | ₽7.00/M | ₽37.00/M | ₽325 |
| mistralai · ministral-8b-2512 | mistralai | ₽14.00/M | ₽14.00/M | ₽350 |
| rnj-1-instruct | essentialai | ₽14.00/M | ₽14.00/M | ₽350 |
| gemini embedding 2 | gemini embedding 2 | ₽18.00/M | ₽18.00/M | ₽360 |
| gemini 2.5 flash lite | ₽9.00/M | ₽37.00/M | ₽365 | |
| gpt 4.1 nano | openai | ₽9.00/M | ₽37.00/M | ₽365 |
| seed-2.0-mini | bytedance seed | ₽9.00/M | ₽37.00/M | ₽365 |
| Nemotron 3 Super 120b A12b | nvidia | ₽8.00/M | ₽42.00/M | ₽370 |
| qwen3 vl 32b instruct | qwen | ₽9.00/M | ₽38.00/M | ₽370 |
| gemma 4 31b it | ₽11.00/M | ₽32.00/M | ₽380 | |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽13.00/M | ₽26.00/M | ₽390 |
| llama guard 4 12b | meta llama | ₽16.00/M | ₽16.00/M | ₽400 |
| qwen3 vl 8b instruct | qwen | ₽10.00/M | ₽42.00/M | ₽410 |
| hermes-4-70b | nousresearch | ₽12.00/M | ₽37.00/M | ₽425 |
| ling-2.6-1t | inclusionai | ₽7.00/M | ₽58.00/M | ₽430 |
| ring-2.6-1t | inclusionai | ₽7.00/M | ₽58.00/M | ₽430 |
| mistralai · ministral-14b-2512 | mistralai | ₽18.00/M | ₽18.00/M | ₽450 |
| qwen3 235b a22b | qwen | ₽10.00/M | ₽56.00/M | ₽480 |
| qwen3 vl 30b a3b instruct | qwen | ₽12.00/M | ₽48.00/M | ₽480 |
| rocinante-12b | thedrummer | ₽15.00/M | ₽40.00/M | ₽500 |
| olmo-3-32b-think | allenai | ₽14.00/M | ₽46.00/M | ₽510 |
| hunyuan a13b | hunyuan a13b | ₽13.00/M | ₽53.00/M | ₽525 |
| Qwen3 Next 80B A3B | Qwen | ₽9.00/M | ₽72.00/M | ₽540 |
| Command R | command r | ₽14.00/M | ₽56.00/M | ₽560 |
| gpt 4o mini | openai | ₽14.00/M | ₽56.00/M | ₽560 |
| llama 4 maverick | meta llama | ₽14.00/M | ₽56.00/M | ₽560 |
| mistral-small-2603 | mistralai | ₽14.00/M | ₽56.00/M | ₽560 |
| solar-pro-3 | upstage | ₽14.00/M | ₽56.00/M | ₽560 |
| qwen3 coder next | qwen | ₽10.00/M | ₽74.00/M | ₽570 |
| deepseek v3.2 | deepseek | ₽21.00/M | ₽32.00/M | ₽580 |
| glm 4.5 air | z ai | ₽11.00/M | ₽79.00/M | ₽615 |
| mistralai · mistral-saba | mistralai | ₽18.00/M | ₽56.00/M | ₽640 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽27.00/M | ₽27.00/M | ₽675 |
| minimax m2.5 | minimax | ₽14.00/M | ₽84.00/M | ₽700 |
| deepseek chat | deepseek | ₽18.00/M | ₽71.00/M | ₽715 |
| qwen3.5 35b a3b | qwen | ₽13.00/M | ₽93.00/M | ₽725 |
| deepseek chat v3.1 | deepseek | ₽19.00/M | ₽73.00/M | ₽745 |
| qwen3.6 35b a3b | qwen | ₽15.00/M | ₽90.00/M | ₽750 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽18.00/M | ₽82.00/M | ₽770 |
| cydonia-24b-v4.1 | thedrummer | ₽28.00/M | ₽46.00/M | ₽790 |
| Llama 3.2 11B Vision Preview | meta llama | ₽32.00/M | ₽32.00/M | ₽800 |
| mercury-2 | inception | ₽23.00/M | ₽70.00/M | ₽810 |
| qwen3 coder flash | qwen | ₽18.00/M | ₽91.00/M | ₽815 |
| trinity-large-thinking | arcee ai | ₽23.00/M | ₽74.00/M | ₽830 |
| qwen plus | qwen | ₽24.00/M | ₽72.00/M | ₽840 |
| qwen 2.5 72b instruct | qwen | ₽33.00/M | ₽37.00/M | ₽845 |
| qwen3.6 flash | qwen | ₽17.00/M | ₽105/M | ₽865 |
| intellect-3 | prime intellect | ₽18.00/M | ₽102/M | ₽870 |
| minimax 01 | minimax | ₽18.00/M | ₽102/M | ₽870 |
| Step 3.7 Flash | step 3.7 flash | ₽18.00/M | ₽107/M | ₽895 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽32.00/M | ₽51.00/M | ₽895 |
| llama 3.1 70b | together | ₽37.00/M | ₽37.00/M | ₽925 |
| minimax m2 | minimax | ₽23.00/M | ₽93.00/M | ₽925 |
| minimax m2.7 | minimax | ₽23.00/M | ₽93.00/M | ₽925 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽37.00/M | ₽37.00/M | ₽925 |
| unslopnemo-12b | thedrummer | ₽37.00/M | ₽37.00/M | ₽925 |
| gpt 5.4 nano | openai | ₽18.00/M | ₽116/M | ₽940 |
| deepseek v3.1 terminus | deepseek | ₽25.00/M | ₽88.00/M | ₽940 |
| DeepSeek V3.1 Terminus (exacto) | DeepSeek | ₽25.00/M | ₽88.00/M | ₽940 |
| glm 4.6v | z ai | ₽28.00/M | ₽84.00/M | ₽980 |
| minimax m2.1 | minimax | ₽27.00/M | ₽88.00/M | ₽980 |
| mistralai · codestral-2508 | mistralai | ₽28.00/M | ₽84.00/M | ₽980 |
| qwen3 coder | qwen | ₽28.00/M | ₽93.00/M | ₽1 025 |
| Qwen3 Coder 480B A35B (exacto) | Qwen | ₽28.00/M | ₽93.00/M | ₽1 025 |
| claude 3 haiku | anthropic | ₽23.00/M | ₽116/M | ₽1 040 |
| qwen3.5 27b | qwen | ₽18.00/M | ₽145/M | ₽1 085 |
| kat-coder-pro-v2 | kwaipilot | ₽28.00/M | ₽112/M | ₽1 120 |
| minimax m2 her | minimax | ₽28.00/M | ₽112/M | ₽1 120 |
| minimax m3 | minimax | ₽28.00/M | ₽112/M | ₽1 120 |
| remm-slerp-l2-13b | undi95 | ₽42.00/M | ₽60.00/M | ₽1 140 |
| gemini 3.1 flash lite | ₽23.00/M | ₽140/M | ₽1 160 | |
| qwen3.7 plus | qwen | ₽29.00/M | ₽119/M | ₽1 175 |
| deepseek v4 pro | deepseek | ₽40.00/M | ₽81.00/M | ₽1 205 |
| Qwen3.5 Plus | qwen3.5 plus | ₽24.00/M | ₽145/M | ₽1 205 |
| llama 3 70b instruct | meta llama | ₽47.00/M | ₽69.00/M | ₽1 285 |
| coder-large | arcee ai | ₽46.00/M | ₽74.00/M | ₽1 290 |
| perceptron-mk1 | perceptron | ₽18.00/M | ₽186/M | ₽1 290 |
| ernie-4.5-vl-424b-a47b | baidu | ₽39.00/M | ₽116/M | ₽1 360 |
| gpt 5 mini | openai | ₽23.00/M | ₽186/M | ₽1 390 |
| gpt 5.1 codex mini | openai | ₽23.00/M | ₽186/M | ₽1 390 |
| seed-1.6 | bytedance seed | ₽23.00/M | ₽186/M | ₽1 390 |
| seed-2.0-lite | bytedance seed | ₽23.00/M | ₽186/M | ₽1 390 |
| skyfall-36b-v2 | thedrummer | ₽51.00/M | ₽74.00/M | ₽1 390 |
| Wizardlm 2 8x22b | microsoft | ₽57.00/M | ₽57.00/M | ₽1 425 |
| qwen3.5 122b a10b | qwen | ₽24.00/M | ₽194/M | ₽1 450 |
| gpt 4.1 mini | openai | ₽37.00/M | ₽149/M | ₽1 485 |
| qwen3.6 27b | qwen | ₽28.00/M | ₽186/M | ₽1 490 |
| gemma 2 27b it | ₽60.00/M | ₽60.00/M | ₽1 500 | |
| qwen3.6 plus | qwen | ₽30.00/M | ₽182/M | ₽1 510 |
| l3.3-euryale-70b | sao10k | ₽60.00/M | ₽70.00/M | ₽1 550 |
| glm 4.7 | z ai | ₽37.00/M | ₽163/M | ₽1 555 |
| glm 4.6 | z ai | ₽40.00/M | ₽162/M | ₽1 610 |
| GLM 4.6 (exacto) | Z.ai | ₽40.00/M | ₽162/M | ₽1 610 |
| gpt 3.5 turbo | openai | ₽46.00/M | ₽140/M | ₽1 620 |
| mistral-large-2512 | mistralai | ₽46.00/M | ₽140/M | ₽1 620 |
| hermes-3-llama-3.1-70b | nousresearch | ₽65.00/M | ₽65.00/M | ₽1 625 |
| kimi k2.5 | moonshotai | ₽37.00/M | ₽177/M | ₽1 625 |
| mistralai · devstral-2512 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| mistralai · mistral-medium-3 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| mistralai · mistral-medium-3.1 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| qwen 2.5 coder 32b instruct | qwen | ₽61.00/M | ₽93.00/M | ₽1 685 |
| gemini 2.5 flash | ₽28.00/M | ₽233/M | ₽1 725 | |
| gemini 2.5 flash image | ₽28.00/M | ₽233/M | ₽1 725 | |
| Nova 2 Lite V1 | amazon | ₽28.00/M | ₽233/M | ₽1 725 |
| minimax m1 | minimax | ₽37.00/M | ₽205/M | ₽1 765 |
| qwen3.5 397b a17b | qwen | ₽36.00/M | ₽218/M | ₽1 810 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽61.00/M | ₽121/M | ₽1 825 |
| deepseek r1 distill llama 70b | deepseek | ₽74.00/M | ₽74.00/M | ₽1 850 |
| weaver | mancer | ₽70.00/M | ₽93.00/M | ₽1 865 |
| deepseek r1 | deepseek | ₽46.00/M | ₽200/M | ₽1 920 |
| qwen2.5 vl 72b instruct | qwen | ₽74.00/M | ₽93.00/M | ₽1 945 |
| aion-1.0-mini | aion labs | ₽65.00/M | ₽130/M | ₽1 950 |
| glm 4.5v | z ai | ₽56.00/M | ₽168/M | ₽1 960 |
| virtuoso-large | arcee ai | ₽70.00/M | ₽112/M | ₽1 960 |
| l3.1-euryale-70b | sao10k | ₽79.00/M | ₽79.00/M | ₽1 975 |
| glm 5 | z ai | ₽56.00/M | ₽179/M | ₽2 015 |
| morph · morph-v3-fast | morph | ₽74.00/M | ₽112/M | ₽2 040 |
| Nemotron 3 Ultra 550b A55b | nvidia | ₽46.00/M | ₽233/M | ₽2 085 |
| kimi k2 | moonshotai | ₽53.00/M | ₽215/M | ₽2 135 |
| glm 4.5 | z ai | ₽56.00/M | ₽205/M | ₽2 145 |
| relace-apply-3 | relace | ₽79.00/M | ₽116/M | ₽2 160 |
| aion-2.0 | aion labs | ₽74.00/M | ₽149/M | ₽2 225 |
| aion-rp-llama-3.1-8b | aion labs | ₽74.00/M | ₽149/M | ₽2 225 |
| gpt audio mini | openai | ₽56.00/M | ₽224/M | ₽2 240 |
| Kimi K2 0905 (exacto) | MoonshotAI | ₽56.00/M | ₽233/M | ₽2 285 |
| gemini 3 flash | gemini 3 flash | ₽46.00/M | ₽280/M | ₽2 320 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽46.00/M | ₽280/M | ₽2 320 |
| hermes-3-llama-3.1-405b | nousresearch | ₽93.00/M | ₽93.00/M | ₽2 325 |
| Sonar | perplexity | ₽93.00/M | ₽93.00/M | ₽2 325 |
| morph · morph-v3-large | morph | ₽84.00/M | ₽177/M | ₽2 565 |
| qwen3 coder plus | qwen | ₽60.00/M | ₽303/M | ₽2 715 |
| grok build 0.1 | x ai | ₽93.00/M | ₽186/M | ₽2 790 |
| kimi k2.6 | moonshotai | ₽63.00/M | ₽318/M | ₽2 850 |
| cogito-v2.1-671b | deepcogito | ₽116/M | ₽116/M | ₽2 900 |
| Nova Pro V1 | amazon | ₽74.00/M | ₽299/M | ₽2 975 |
| Kimi K2.7 Code | kimi k2.7 code | ₽70.00/M | ₽327/M | ₽3 035 |
| glm 5.1 | z ai | ₽91.00/M | ₽287/M | ₽3 255 |
| hermes-4-405b | nousresearch | ₽93.00/M | ₽280/M | ₽3 260 |
| qwen3 max | qwen | ₽72.00/M | ₽364/M | ₽3 260 |
| relace · relace-search | relace | ₽93.00/M | ₽280/M | ₽3 260 |
| claude 3.5 haiku | anthropic | ₽74.00/M | ₽373/M | ₽3 345 |
| grok 4.20 | x ai | ₽116/M | ₽233/M | ₽3 485 |
| grok 4.3 | x ai | ₽116/M | ₽233/M | ₽3 485 |
| gpt 5.4 mini | openai | ₽70.00/M | ₽420/M | ₽3 500 |
| palmyra-x5 | writer | ₽56.00/M | ₽560/M | ₽3 920 |
| qwen3.7 max | qwen | ₽116/M | ₽350/M | ₽4 070 |
| o3 mini | openai | ₽102/M | ₽411/M | ₽4 095 |
| o3 mini high | openai | ₽102/M | ₽411/M | ₽4 095 |
| o4 mini | openai | ₽102/M | ₽411/M | ₽4 095 |
| o4 mini high | openai | ₽102/M | ₽411/M | ₽4 095 |
| glm 5 turbo | z ai | ₽112/M | ₽373/M | ₽4 105 |
| claude haiku 4.5 | anthropic | ₽93.00/M | ₽467/M | ₽4 195 |
| qwen3.6 max preview | qwen | ₽97.00/M | ₽583/M | ₽4 855 |
| gpt 5 image mini | openai | ₽233/M | ₽186/M | ₽5 590 |
| YandexGPT Lite 5 | yandex | ₽250/M | ₽250/M | ₽6 250 |
| mistralai · mistral-medium-3-5 | mistralai | ₽140/M | ₽701/M | ₽6 305 |
| grok 4.20 multi agent | x ai | ₽186/M | ₽560/M | ₽6 520 |
| Mistral Large 2407 | Mistral large 2407 | ₽186/M | ₽560/M | ₽6 520 |
| mistralai · mistral-large | mistralai | ₽186/M | ₽560/M | ₽6 520 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽186/M | ₽560/M | ₽6 520 |
| gemini 2.5 pro | ₽116/M | ₽934/M | ₽6 990 | |
| gpt 5 | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5 chat | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5 codex | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 chat | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 codex | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 codex max | openai | ₽116/M | ₽934/M | ₽6 990 |
| l3.1-70b-hanami-x1 | sao10k | ₽280/M | ₽280/M | ₽7 000 |
| gemini 3.5 flash | ₽140/M | ₽841/M | ₽7 005 | |
| gpt 4.1 | openai | ₽186/M | ₽747/M | ₽7 455 |
| jamba-large-1.7 | ai21 | ₽186/M | ₽747/M | ₽7 455 |
| O3 | openai | ₽186/M | ₽747/M | ₽7 455 |
| o4 mini deep research | openai | ₽186/M | ₽747/M | ₽7 455 |
| sonar deep research | perplexity | ₽186/M | ₽747/M | ₽7 455 |
| sonar reasoning pro | perplexity | ₽186/M | ₽747/M | ₽7 455 |
| gpt 3.5 turbo 16k | openai | ₽280/M | ₽373/M | ₽7 465 |
| magnum-v4-72b | anthracite org | ₽280/M | ₽467/M | ₽7 935 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽186/M | ₽1 121/M | ₽9 325 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽186/M | ₽1 121/M | ₽9 325 |
| gemini 3.1 pro preview customtools | ₽186/M | ₽1 121/M | ₽9 325 | |
| Cohere Command A | cohere command a | ₽233/M | ₽934/M | ₽9 330 |
| Command R Plus | command r plus | ₽233/M | ₽934/M | ₽9 330 |
| gpt 4o | openai | ₽233/M | ₽934/M | ₽9 330 |
| gpt audio | openai | ₽233/M | ₽934/M | ₽9 330 |
| inflection-3-pi | inflection | ₽233/M | ₽934/M | ₽9 330 |
| inflection-3-productivity | inflection | ₽233/M | ₽934/M | ₽9 330 |
| gpt 5.2 | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.2 chat | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.2 codex | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.3 chat | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.3 codex | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| Nova Premier V1 | amazon | ₽233/M | ₽1 168/M | ₽10 500 |
| aion-1.0 | aion labs | ₽373/M | ₽747/M | ₽11 195 |
| gpt 5.4 | openai | ₽233/M | ₽1 402/M | ₽11 670 |
| YandexGPT Pro 5.1 | yandex | ₽495/M | ₽495/M | ₽12 375 |
| claude sonnet 4 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| claude sonnet 4.5 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| claude sonnet 4.6 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| sonar pro | perplexity | ₽280/M | ₽1 402/M | ₽12 610 |
| claude opus 4.5 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.6 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.7 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.8 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| gpt-image-2 | openai | ₽747/M | ₽1 402/M | ₽21 950 |
| gpt 5 image | openai | ₽934/M | ₽934/M | ₽23 350 |
| gpt 5.5 | openai | ₽467/M | ₽2 804/M | ₽23 360 |
| GPT Chat | gpt chat latest | ₽467/M | ₽2 804/M | ₽23 360 |
| Alice AI LLM | aliceai llm | ₽626/M | ₽2 495/M | ₽24 995 |
| gpt 4 turbo | openai | ₽934/M | ₽2 804/M | ₽32 700 |
| o3 deep research | openai | ₽934/M | ₽3 739/M | ₽37 375 |
| YandexGPT Pro 5 | yandex | ₽1 495/M | ₽1 495/M | ₽37 375 |
| claude fable 5 | anthropic | ₽934/M | ₽4 674/M | ₽42 050 |
| O1 | openai | ₽1 402/M | ₽5 608/M | ₽56 080 |
| claude opus 4 | anthropic | ₽1 402/M | ₽7 011/M | ₽63 095 |
| gpt 4 | openai | ₽2 804/M | ₽5 608/M | ₽84 120 |
| gpt 5 pro | openai | ₽1 402/M | ₽11 217/M | ₽84 125 |
| gpt 5.2 pro | openai | ₽1 963/M | ₽15 704/M | ₽117 780 |
| gpt 5.4 pro | openai | ₽2 804/M | ₽16 826/M | ₽140 210 |
| gpt 5.5 pro | openai | ₽2 804/M | ₽16 826/M | ₽140 210 |
| o1 pro | openai | ₽14 022/M | ₽56 088/M | ₽560 880 |
Без публичной цены
нет данных в открытых источниках · 7
▼
Без публичной цены
нет данных в открытых источниках · 7
| Модель | Maker | Примечание |
|---|---|---|
| Flux 2 Flex | flux 2 flex | — |
| Flux 2 Pro | flux 2 pro | — |
| flux.2-klein-4b | flux 2 klein 4b | — |
| flux.2-max | flux 2 max | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| seedream-4.5 | bytedance seed | — |
Текст и чат
оплата за токены · 296
▼
Текст и чат
оплата за токены · 296
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.37/M | ₽0.37/M | ₽7 |
| all-minilm-l12-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| all-minilm-l6-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| all-mpnet-base-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| bge-base-en-v1.5 | baai | ₽0.47/M | ₽0.47/M | ₽9 |
| e5-base-v2 | intfloat | ₽0.47/M | ₽0.47/M | ₽9 |
| gte-base | thenlper | ₽0.47/M | ₽0.47/M | ₽9 |
| multi-qa-mpnet-base-dot-v1 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| paraphrase-minilm-l6-v2 | sentence transformers | ₽0.47/M | ₽0.47/M | ₽9 |
| Bge Large En V1.5 | BAAI | ₽0.93/M | ₽0.93/M | ₽19 |
| Bge M3 | baai | ₽0.93/M | ₽0.93/M | ₽19 |
| e5-large-v2 | intfloat | ₽0.93/M | ₽0.93/M | ₽19 |
| gte-large | thenlper | ₽0.93/M | ₽0.93/M | ₽19 |
| multilingual-e5-large | intfloat | ₽0.93/M | ₽0.93/M | ₽19 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.93/M | ₽0.93/M | ₽19 |
| ling-2.6-flash | inclusionai | ₽0.93/M | ₽2.80/M | ₽33 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.87/M | ₽1.87/M | ₽37 |
| text embedding 3 small | openai | ₽1.87/M | ₽1.87/M | ₽37 |
| mistralai · mistral-nemo | mistralai | ₽1.87/M | ₽2.80/M | ₽51 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.80/M | ₽2.80/M | ₽56 |
| Llama 3.1 8B | llama 3.1 8b | ₽1.87/M | ₽4.67/M | ₽61 |
| granite-4.0-h-micro | ibm granite | ₽1.59/M | ₽10.00/M | ₽82 |
| l3-lunaris-8b | sao10k | ₽3.74/M | ₽4.67/M | ₽98 |
| lfm-2-24b-a2b | liquid | ₽2.80/M | ₽11.00/M | ₽111 |
| gpt oss 20b | openai | ₽2.80/M | ₽12.00/M | ₽116 |
| qwen 2.5 7b instruct | qwen | ₽3.74/M | ₽9.00/M | ₽120 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.67/M | ₽7.00/M | ₽128 |
| Nova Micro V1 | amazon | ₽3.27/M | ₽13.00/M | ₽130 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.67/M | ₽9.00/M | ₽138 |
| granite-4.1-8b | ibm granite | ₽4.67/M | ₽9.00/M | ₽138 |
| gpt oss 120b | openai | ₽3.74/M | ₽13.00/M | ₽140 |
| gpt-oss-120b (exacto) | OpenAI | ₽3.74/M | ₽13.00/M | ₽140 |
| command r7b 12 2024 | cohere | ₽3.51/M | ₽14.00/M | ₽140 |
| Mythomax L2 13B | Gryphe | ₽5.61/M | ₽5.61/M | ₽140 |
| Llama 3.2 1B Preview | meta llama | ₽2.52/M | ₽18.00/M | ₽140 |
| trinity-mini | arcee ai | ₽4.21/M | ₽14.00/M | ₽154 |
| gemma 3 12b it | ₽4.67/M | ₽14.00/M | ₽163 | |
| gemma 3n e4b it | ₽5.61/M | ₽11.00/M | ₽167 | |
| mistral-embed-2312 | mistralai | ₽9.00/M | ₽9.00/M | ₽180 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.50/M | ₽18.00/M | ₽180 |
| Text Embedding ADA | text embedding ada | ₽9.00/M | ₽9.00/M | ₽180 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.67/M | ₽18.00/M | ₽183 |
| Phi 4 | microsoft | ₽6.00/M | ₽13.00/M | ₽185 |
| qwen3 235b a22b 2507 | qwen | ₽8.00/M | ₽9.00/M | ₽205 |
| gemma 3 27b it | ₽7.00/M | ₽14.00/M | ₽210 | |
| Hy3 Preview | hy3 preview | ₽5.89/M | ₽19.00/M | ₽213 |
| Nova Lite V1 | amazon | ₽5.61/M | ₽22.00/M | ₽222 |
| mistralai · ministral-3b-2512 | mistralai | ₽9.00/M | ₽9.00/M | ₽225 |
| reka-edge | rekaai | ₽9.00/M | ₽9.00/M | ₽225 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.00/M | ₽18.00/M | ₽230 |
| Qwen3.5 Flash | qwen3.5 flash | ₽6.00/M | ₽24.00/M | ₽240 |
| deepseek v4 flash | deepseek | ₽8.00/M | ₽16.00/M | ₽240 |
| text embedding 3 large | openai | ₽12.00/M | ₽12.00/M | ₽240 |
| qwen3 coder 30b a3b instruct | qwen | ₽6.00/M | ₽25.00/M | ₽245 |
| qwen3.5 9b | qwen | ₽9.00/M | ₽14.00/M | ₽250 |
| Llama 3.2 3B Preview | meta llama | ₽4.76/M | ₽31.00/M | ₽250 |
| gemma 4 26b a4b it | ₽5.61/M | ₽30.00/M | ₽262 | |
| qwen3 32b | qwen | ₽7.00/M | ₽26.00/M | ₽270 |
| reka-flash-3 | rekaai | ₽9.00/M | ₽18.00/M | ₽270 |
| ui-tars-1.5-7b | bytedance | ₽9.00/M | ₽18.00/M | ₽270 |
| gpt 5 nano | openai | ₽4.67/M | ₽37.00/M | ₽278 |
| qwen3 8b | qwen | ₽4.67/M | ₽37.00/M | ₽278 |
| codestral-embed-2505 | mistralai | ₽14.00/M | ₽14.00/M | ₽280 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽14.00/M | ₽14.00/M | ₽280 |
| gpt oss safeguard 20b | openai | ₽7.00/M | ₽28.00/M | ₽280 |
| seed-1.6-flash | bytedance seed | ₽7.00/M | ₽28.00/M | ₽280 |
| qwen3 14b | qwen | ₽9.00/M | ₽22.00/M | ₽290 |
| glm 4.7 flash | z ai | ₽5.61/M | ₽37.00/M | ₽297 |
| Phi 4 Mini Instruct | microsoft | ₽7.00/M | ₽32.00/M | ₽300 |
| Step 3.5 Flash | step 3.5 flash | ₽8.00/M | ₽28.00/M | ₽300 |
| llama 4 scout | meta llama | ₽9.00/M | ₽28.00/M | ₽320 |
| MiMo V2 Flash | mimo v2 flash | ₽9.00/M | ₽28.00/M | ₽320 |
| voxtral-small-24b-2507 | mistralai | ₽9.00/M | ₽28.00/M | ₽320 |
| llama 3 8b instruct | meta llama | ₽13.00/M | ₽13.00/M | ₽325 |
| Llama 3.3 70B | Llama 3.3 70B | ₽9.00/M | ₽29.00/M | ₽325 |
| qwen3 30b a3b | qwen | ₽7.00/M | ₽37.00/M | ₽325 |
| mistralai · ministral-8b-2512 | mistralai | ₽14.00/M | ₽14.00/M | ₽350 |
| rnj-1-instruct | essentialai | ₽14.00/M | ₽14.00/M | ₽350 |
| gemini embedding 2 | gemini embedding 2 | ₽18.00/M | ₽18.00/M | ₽360 |
| gemini 2.5 flash lite | ₽9.00/M | ₽37.00/M | ₽365 | |
| gpt 4.1 nano | openai | ₽9.00/M | ₽37.00/M | ₽365 |
| seed-2.0-mini | bytedance seed | ₽9.00/M | ₽37.00/M | ₽365 |
| Nemotron 3 Super 120b A12b | nvidia | ₽8.00/M | ₽42.00/M | ₽370 |
| qwen3 vl 32b instruct | qwen | ₽9.00/M | ₽38.00/M | ₽370 |
| gemma 4 31b it | ₽11.00/M | ₽32.00/M | ₽380 | |
| Xiaomi Mimo V2.5 | xiaomi mimo v2.5 | ₽13.00/M | ₽26.00/M | ₽390 |
| llama guard 4 12b | meta llama | ₽16.00/M | ₽16.00/M | ₽400 |
| qwen3 vl 8b instruct | qwen | ₽10.00/M | ₽42.00/M | ₽410 |
| hermes-4-70b | nousresearch | ₽12.00/M | ₽37.00/M | ₽425 |
| ling-2.6-1t | inclusionai | ₽7.00/M | ₽58.00/M | ₽430 |
| ring-2.6-1t | inclusionai | ₽7.00/M | ₽58.00/M | ₽430 |
| mistralai · ministral-14b-2512 | mistralai | ₽18.00/M | ₽18.00/M | ₽450 |
| qwen3 235b a22b | qwen | ₽10.00/M | ₽56.00/M | ₽480 |
| qwen3 vl 30b a3b instruct | qwen | ₽12.00/M | ₽48.00/M | ₽480 |
| rocinante-12b | thedrummer | ₽15.00/M | ₽40.00/M | ₽500 |
| olmo-3-32b-think | allenai | ₽14.00/M | ₽46.00/M | ₽510 |
| hunyuan a13b | hunyuan a13b | ₽13.00/M | ₽53.00/M | ₽525 |
| Qwen3 Next 80B A3B | Qwen | ₽9.00/M | ₽72.00/M | ₽540 |
| Command R | command r | ₽14.00/M | ₽56.00/M | ₽560 |
| gpt 4o mini | openai | ₽14.00/M | ₽56.00/M | ₽560 |
| llama 4 maverick | meta llama | ₽14.00/M | ₽56.00/M | ₽560 |
| mistral-small-2603 | mistralai | ₽14.00/M | ₽56.00/M | ₽560 |
| solar-pro-3 | upstage | ₽14.00/M | ₽56.00/M | ₽560 |
| qwen3 coder next | qwen | ₽10.00/M | ₽74.00/M | ₽570 |
| deepseek v3.2 | deepseek | ₽21.00/M | ₽32.00/M | ₽580 |
| glm 4.5 air | z ai | ₽11.00/M | ₽79.00/M | ₽615 |
| mistralai · mistral-saba | mistralai | ₽18.00/M | ₽56.00/M | ₽640 |
| DeepSeek R1 Distill Qwen 32B | deepseek ai | ₽27.00/M | ₽27.00/M | ₽675 |
| minimax m2.5 | minimax | ₽14.00/M | ₽84.00/M | ₽700 |
| deepseek chat | deepseek | ₽18.00/M | ₽71.00/M | ₽715 |
| qwen3.5 35b a3b | qwen | ₽13.00/M | ₽93.00/M | ₽725 |
| deepseek chat v3.1 | deepseek | ₽19.00/M | ₽73.00/M | ₽745 |
| qwen3.6 35b a3b | qwen | ₽15.00/M | ₽90.00/M | ₽750 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽18.00/M | ₽82.00/M | ₽770 |
| cydonia-24b-v4.1 | thedrummer | ₽28.00/M | ₽46.00/M | ₽790 |
| Llama 3.2 11B Vision Preview | meta llama | ₽32.00/M | ₽32.00/M | ₽800 |
| mercury-2 | inception | ₽23.00/M | ₽70.00/M | ₽810 |
| qwen3 coder flash | qwen | ₽18.00/M | ₽91.00/M | ₽815 |
| trinity-large-thinking | arcee ai | ₽23.00/M | ₽74.00/M | ₽830 |
| qwen plus | qwen | ₽24.00/M | ₽72.00/M | ₽840 |
| qwen 2.5 72b instruct | qwen | ₽33.00/M | ₽37.00/M | ₽845 |
| qwen3.6 flash | qwen | ₽17.00/M | ₽105/M | ₽865 |
| intellect-3 | prime intellect | ₽18.00/M | ₽102/M | ₽870 |
| minimax 01 | minimax | ₽18.00/M | ₽102/M | ₽870 |
| Step 3.7 Flash | step 3.7 flash | ₽18.00/M | ₽107/M | ₽895 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽32.00/M | ₽51.00/M | ₽895 |
| llama 3.1 70b | together | ₽37.00/M | ₽37.00/M | ₽925 |
| minimax m2 | minimax | ₽23.00/M | ₽93.00/M | ₽925 |
| minimax m2.7 | minimax | ₽23.00/M | ₽93.00/M | ₽925 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽37.00/M | ₽37.00/M | ₽925 |
| unslopnemo-12b | thedrummer | ₽37.00/M | ₽37.00/M | ₽925 |
| gpt 5.4 nano | openai | ₽18.00/M | ₽116/M | ₽940 |
| deepseek v3.1 terminus | deepseek | ₽25.00/M | ₽88.00/M | ₽940 |
| DeepSeek V3.1 Terminus (exacto) | DeepSeek | ₽25.00/M | ₽88.00/M | ₽940 |
| glm 4.6v | z ai | ₽28.00/M | ₽84.00/M | ₽980 |
| minimax m2.1 | minimax | ₽27.00/M | ₽88.00/M | ₽980 |
| mistralai · codestral-2508 | mistralai | ₽28.00/M | ₽84.00/M | ₽980 |
| qwen3 coder | qwen | ₽28.00/M | ₽93.00/M | ₽1 025 |
| Qwen3 Coder 480B A35B (exacto) | Qwen | ₽28.00/M | ₽93.00/M | ₽1 025 |
| claude 3 haiku | anthropic | ₽23.00/M | ₽116/M | ₽1 040 |
| qwen3.5 27b | qwen | ₽18.00/M | ₽145/M | ₽1 085 |
| kat-coder-pro-v2 | kwaipilot | ₽28.00/M | ₽112/M | ₽1 120 |
| minimax m2 her | minimax | ₽28.00/M | ₽112/M | ₽1 120 |
| minimax m3 | minimax | ₽28.00/M | ₽112/M | ₽1 120 |
| remm-slerp-l2-13b | undi95 | ₽42.00/M | ₽60.00/M | ₽1 140 |
| gemini 3.1 flash lite | ₽23.00/M | ₽140/M | ₽1 160 | |
| qwen3.7 plus | qwen | ₽29.00/M | ₽119/M | ₽1 175 |
| deepseek v4 pro | deepseek | ₽40.00/M | ₽81.00/M | ₽1 205 |
| Qwen3.5 Plus | qwen3.5 plus | ₽24.00/M | ₽145/M | ₽1 205 |
| llama 3 70b instruct | meta llama | ₽47.00/M | ₽69.00/M | ₽1 285 |
| coder-large | arcee ai | ₽46.00/M | ₽74.00/M | ₽1 290 |
| perceptron-mk1 | perceptron | ₽18.00/M | ₽186/M | ₽1 290 |
| ernie-4.5-vl-424b-a47b | baidu | ₽39.00/M | ₽116/M | ₽1 360 |
| gpt 5 mini | openai | ₽23.00/M | ₽186/M | ₽1 390 |
| gpt 5.1 codex mini | openai | ₽23.00/M | ₽186/M | ₽1 390 |
| seed-1.6 | bytedance seed | ₽23.00/M | ₽186/M | ₽1 390 |
| seed-2.0-lite | bytedance seed | ₽23.00/M | ₽186/M | ₽1 390 |
| skyfall-36b-v2 | thedrummer | ₽51.00/M | ₽74.00/M | ₽1 390 |
| Wizardlm 2 8x22b | microsoft | ₽57.00/M | ₽57.00/M | ₽1 425 |
| qwen3.5 122b a10b | qwen | ₽24.00/M | ₽194/M | ₽1 450 |
| gpt 4.1 mini | openai | ₽37.00/M | ₽149/M | ₽1 485 |
| qwen3.6 27b | qwen | ₽28.00/M | ₽186/M | ₽1 490 |
| gemma 2 27b it | ₽60.00/M | ₽60.00/M | ₽1 500 | |
| qwen3.6 plus | qwen | ₽30.00/M | ₽182/M | ₽1 510 |
| l3.3-euryale-70b | sao10k | ₽60.00/M | ₽70.00/M | ₽1 550 |
| glm 4.7 | z ai | ₽37.00/M | ₽163/M | ₽1 555 |
| glm 4.6 | z ai | ₽40.00/M | ₽162/M | ₽1 610 |
| GLM 4.6 (exacto) | Z.ai | ₽40.00/M | ₽162/M | ₽1 610 |
| gpt 3.5 turbo | openai | ₽46.00/M | ₽140/M | ₽1 620 |
| mistral-large-2512 | mistralai | ₽46.00/M | ₽140/M | ₽1 620 |
| hermes-3-llama-3.1-70b | nousresearch | ₽65.00/M | ₽65.00/M | ₽1 625 |
| kimi k2.5 | moonshotai | ₽37.00/M | ₽177/M | ₽1 625 |
| mistralai · devstral-2512 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| mistralai · mistral-medium-3 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| mistralai · mistral-medium-3.1 | mistralai | ₽37.00/M | ₽186/M | ₽1 670 |
| qwen 2.5 coder 32b instruct | qwen | ₽61.00/M | ₽93.00/M | ₽1 685 |
| gemini 2.5 flash | ₽28.00/M | ₽233/M | ₽1 725 | |
| gemini 2.5 flash image | ₽28.00/M | ₽233/M | ₽1 725 | |
| Nova 2 Lite V1 | amazon | ₽28.00/M | ₽233/M | ₽1 725 |
| minimax m1 | minimax | ₽37.00/M | ₽205/M | ₽1 765 |
| qwen3.5 397b a17b | qwen | ₽36.00/M | ₽218/M | ₽1 810 |
| Xiaomi Mimo V2.5 Pro | xiaomi mimo v2.5 pro | ₽61.00/M | ₽121/M | ₽1 825 |
| deepseek r1 distill llama 70b | deepseek | ₽74.00/M | ₽74.00/M | ₽1 850 |
| weaver | mancer | ₽70.00/M | ₽93.00/M | ₽1 865 |
| deepseek r1 | deepseek | ₽46.00/M | ₽200/M | ₽1 920 |
| qwen2.5 vl 72b instruct | qwen | ₽74.00/M | ₽93.00/M | ₽1 945 |
| aion-1.0-mini | aion labs | ₽65.00/M | ₽130/M | ₽1 950 |
| glm 4.5v | z ai | ₽56.00/M | ₽168/M | ₽1 960 |
| virtuoso-large | arcee ai | ₽70.00/M | ₽112/M | ₽1 960 |
| l3.1-euryale-70b | sao10k | ₽79.00/M | ₽79.00/M | ₽1 975 |
| glm 5 | z ai | ₽56.00/M | ₽179/M | ₽2 015 |
| morph · morph-v3-fast | morph | ₽74.00/M | ₽112/M | ₽2 040 |
| Nemotron 3 Ultra 550b A55b | nvidia | ₽46.00/M | ₽233/M | ₽2 085 |
| kimi k2 | moonshotai | ₽53.00/M | ₽215/M | ₽2 135 |
| glm 4.5 | z ai | ₽56.00/M | ₽205/M | ₽2 145 |
| relace-apply-3 | relace | ₽79.00/M | ₽116/M | ₽2 160 |
| aion-2.0 | aion labs | ₽74.00/M | ₽149/M | ₽2 225 |
| aion-rp-llama-3.1-8b | aion labs | ₽74.00/M | ₽149/M | ₽2 225 |
| gpt audio mini | openai | ₽56.00/M | ₽224/M | ₽2 240 |
| Kimi K2 0905 (exacto) | MoonshotAI | ₽56.00/M | ₽233/M | ₽2 285 |
| gemini 3 flash | gemini 3 flash | ₽46.00/M | ₽280/M | ₽2 320 |
| Gemini 3.1 Flash Image | gemini 3.1 flash image | ₽46.00/M | ₽280/M | ₽2 320 |
| hermes-3-llama-3.1-405b | nousresearch | ₽93.00/M | ₽93.00/M | ₽2 325 |
| Sonar | perplexity | ₽93.00/M | ₽93.00/M | ₽2 325 |
| morph · morph-v3-large | morph | ₽84.00/M | ₽177/M | ₽2 565 |
| qwen3 coder plus | qwen | ₽60.00/M | ₽303/M | ₽2 715 |
| grok build 0.1 | x ai | ₽93.00/M | ₽186/M | ₽2 790 |
| kimi k2.6 | moonshotai | ₽63.00/M | ₽318/M | ₽2 850 |
| cogito-v2.1-671b | deepcogito | ₽116/M | ₽116/M | ₽2 900 |
| Nova Pro V1 | amazon | ₽74.00/M | ₽299/M | ₽2 975 |
| Kimi K2.7 Code | kimi k2.7 code | ₽70.00/M | ₽327/M | ₽3 035 |
| glm 5.1 | z ai | ₽91.00/M | ₽287/M | ₽3 255 |
| hermes-4-405b | nousresearch | ₽93.00/M | ₽280/M | ₽3 260 |
| qwen3 max | qwen | ₽72.00/M | ₽364/M | ₽3 260 |
| relace · relace-search | relace | ₽93.00/M | ₽280/M | ₽3 260 |
| claude 3.5 haiku | anthropic | ₽74.00/M | ₽373/M | ₽3 345 |
| grok 4.20 | x ai | ₽116/M | ₽233/M | ₽3 485 |
| grok 4.3 | x ai | ₽116/M | ₽233/M | ₽3 485 |
| gpt 5.4 mini | openai | ₽70.00/M | ₽420/M | ₽3 500 |
| palmyra-x5 | writer | ₽56.00/M | ₽560/M | ₽3 920 |
| qwen3.7 max | qwen | ₽116/M | ₽350/M | ₽4 070 |
| o3 mini | openai | ₽102/M | ₽411/M | ₽4 095 |
| o3 mini high | openai | ₽102/M | ₽411/M | ₽4 095 |
| o4 mini | openai | ₽102/M | ₽411/M | ₽4 095 |
| o4 mini high | openai | ₽102/M | ₽411/M | ₽4 095 |
| glm 5 turbo | z ai | ₽112/M | ₽373/M | ₽4 105 |
| claude haiku 4.5 | anthropic | ₽93.00/M | ₽467/M | ₽4 195 |
| qwen3.6 max preview | qwen | ₽97.00/M | ₽583/M | ₽4 855 |
| gpt 5 image mini | openai | ₽233/M | ₽186/M | ₽5 590 |
| YandexGPT Lite 5 | yandex | ₽250/M | ₽250/M | ₽6 250 |
| mistralai · mistral-medium-3-5 | mistralai | ₽140/M | ₽701/M | ₽6 305 |
| grok 4.20 multi agent | x ai | ₽186/M | ₽560/M | ₽6 520 |
| Mistral Large 2407 | Mistral large 2407 | ₽186/M | ₽560/M | ₽6 520 |
| mistralai · mistral-large | mistralai | ₽186/M | ₽560/M | ₽6 520 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽186/M | ₽560/M | ₽6 520 |
| gemini 2.5 pro | ₽116/M | ₽934/M | ₽6 990 | |
| gpt 5 | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5 chat | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5 codex | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 chat | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 codex | openai | ₽116/M | ₽934/M | ₽6 990 |
| gpt 5.1 codex max | openai | ₽116/M | ₽934/M | ₽6 990 |
| l3.1-70b-hanami-x1 | sao10k | ₽280/M | ₽280/M | ₽7 000 |
| gemini 3.5 flash | ₽140/M | ₽841/M | ₽7 005 | |
| gpt 4.1 | openai | ₽186/M | ₽747/M | ₽7 455 |
| jamba-large-1.7 | ai21 | ₽186/M | ₽747/M | ₽7 455 |
| O3 | openai | ₽186/M | ₽747/M | ₽7 455 |
| o4 mini deep research | openai | ₽186/M | ₽747/M | ₽7 455 |
| sonar deep research | perplexity | ₽186/M | ₽747/M | ₽7 455 |
| sonar reasoning pro | perplexity | ₽186/M | ₽747/M | ₽7 455 |
| gpt 3.5 turbo 16k | openai | ₽280/M | ₽373/M | ₽7 465 |
| magnum-v4-72b | anthracite org | ₽280/M | ₽467/M | ₽7 935 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽186/M | ₽1 121/M | ₽9 325 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽186/M | ₽1 121/M | ₽9 325 |
| gemini 3.1 pro preview customtools | ₽186/M | ₽1 121/M | ₽9 325 | |
| Cohere Command A | cohere command a | ₽233/M | ₽934/M | ₽9 330 |
| Command R Plus | command r plus | ₽233/M | ₽934/M | ₽9 330 |
| gpt 4o | openai | ₽233/M | ₽934/M | ₽9 330 |
| gpt audio | openai | ₽233/M | ₽934/M | ₽9 330 |
| inflection-3-pi | inflection | ₽233/M | ₽934/M | ₽9 330 |
| inflection-3-productivity | inflection | ₽233/M | ₽934/M | ₽9 330 |
| gpt 5.2 | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.2 chat | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.2 codex | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.3 chat | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| gpt 5.3 codex | openai | ₽163/M | ₽1 308/M | ₽9 800 |
| Nova Premier V1 | amazon | ₽233/M | ₽1 168/M | ₽10 500 |
| aion-1.0 | aion labs | ₽373/M | ₽747/M | ₽11 195 |
| gpt 5.4 | openai | ₽233/M | ₽1 402/M | ₽11 670 |
| YandexGPT Pro 5.1 | yandex | ₽495/M | ₽495/M | ₽12 375 |
| claude sonnet 4 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| claude sonnet 4.5 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| claude sonnet 4.6 | anthropic | ₽280/M | ₽1 402/M | ₽12 610 |
| sonar pro | perplexity | ₽280/M | ₽1 402/M | ₽12 610 |
| claude opus 4.5 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.6 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.7 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| claude opus 4.8 | anthropic | ₽467/M | ₽2 337/M | ₽21 025 |
| gpt-image-2 | openai | ₽747/M | ₽1 402/M | ₽21 950 |
| gpt 5 image | openai | ₽934/M | ₽934/M | ₽23 350 |
| gpt 5.5 | openai | ₽467/M | ₽2 804/M | ₽23 360 |
| GPT Chat | gpt chat latest | ₽467/M | ₽2 804/M | ₽23 360 |
| Alice AI LLM | aliceai llm | ₽626/M | ₽2 495/M | ₽24 995 |
| gpt 4 turbo | openai | ₽934/M | ₽2 804/M | ₽32 700 |
| o3 deep research | openai | ₽934/M | ₽3 739/M | ₽37 375 |
| YandexGPT Pro 5 | yandex | ₽1 495/M | ₽1 495/M | ₽37 375 |
| claude fable 5 | anthropic | ₽934/M | ₽4 674/M | ₽42 050 |
| O1 | openai | ₽1 402/M | ₽5 608/M | ₽56 080 |
| claude opus 4 | anthropic | ₽1 402/M | ₽7 011/M | ₽63 095 |
| gpt 4 | openai | ₽2 804/M | ₽5 608/M | ₽84 120 |
| gpt 5 pro | openai | ₽1 402/M | ₽11 217/M | ₽84 125 |
| gpt 5.2 pro | openai | ₽1 963/M | ₽15 704/M | ₽117 780 |
| gpt 5.4 pro | openai | ₽2 804/M | ₽16 826/M | ₽140 210 |
| gpt 5.5 pro | openai | ₽2 804/M | ₽16 826/M | ₽140 210 |
| o1 pro | openai | ₽14 022/M | ₽56 088/M | ₽560 880 |
Без публичной цены
нет данных в открытых источниках · 7
▼
Без публичной цены
нет данных в открытых источниках · 7
| Модель | Maker | Примечание |
|---|---|---|
| Flux 2 Flex | flux 2 flex | — |
| Flux 2 Pro | flux 2 pro | — |
| flux.2-klein-4b | flux 2 klein 4b | — |
| flux.2-max | flux 2 max | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| seedream-4.5 | bytedance seed | — |
О провайдере
О сервисе
RouterAI — не просто прокси к моделям, а платформа управления AI-инфраструктурой компании. Один ключ и endpoint: меняете только model в запросе. При сбое upstream запрос уходит на резервного провайдера. Для команд — централизованный биллинг, лимиты на сотрудников и прозрачная аналитика. Подходит B2B-клиентам, которым нужны документы, ЭДО и модели на серверах в России.
Как сравнивать на AI-APISHKA
RouterAI — прямой ₽/1M из каталога, без ratio. Сравнивайте с Zveno (учитывайте подписку) и Polza; для юрлиц — напрямую с ProxyAPI по цене и набору моделей.
Частые вопросы
- Нужен ли VPN для RouterAI?
- Нет. Сервис работает из РФ без VPN; инфраструктура обработки запросов размещена в дата-центрах России.
- Как RouterAI обеспечивает отказоустойчивость?
- При недоступности выбранной модели система автоматически переключает запрос на резервного upstream-провайдера.
- RouterAI подходит для юридических лиц?
- Да: договор, оплата по счёту, закрывающие документы и поддержка электронного документооборота (ЭДО).
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
RouterAI предлагает 303 моделей AI API. Средняя цена — ₽329/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.37/M (pplx-embed-v1-0.6b).
Сравните цены на pplx-embed-v1-0.6b , all-minilm-l12-v2 , all-minilm-l6-v2 , all-mpnet-base-v2 и bge-base-en-v1.5 у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.06.2026.