OpenRouter
Сайт ↗400+ моделей, 60+ провайдеров — стандарт индустрии LLM API
- Моделей
- 368
- Средняя цена
- ₽343/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Credits (предоплата)
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт и документация на английском
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 83.8058 ₽ · 1 CNY = 12.4175 ₽ · 14.08.2026
366 моделей
Текст и чат
оплата за токены · 353
▼
Текст и чат
оплата за токены · 353
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-2.6-flash | inclusionai | ₽0.84/M | ₽2.51/M | ₽29 |
| mistralai · mistral-nemo | mistralai | ₽1.59/M | ₽2.51/M | ₽44 |
| Ling-3.0-flash | inclusionai | ₽1.76/M | ₽5.28/M | ₽62 |
| granite-4.0-h-micro | ibm granite | ₽1.42/M | ₽9.39/M | ₽75 |
| Nex-N2-Mini | nex agi | ₽2.10/M | ₽8.38/M | ₽84 |
| Llama 3 8B Lunaris | sao10k | ₽3.35/M | ₽4.19/M | ₽88 |
| Solar Pro 4 | upstage | ₽2.51/M | ₽10.06/M | ₽101 |
| gpt oss 20b | openai | ₽2.51/M | ₽10.89/M | ₽105 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.51/M | ₽10.89/M | ₽105 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| Llama 3.1 8B | llama 3.1 8b | ₽4.19/M | ₽6.70/M | ₽117 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.19/M | ₽6.70/M | ₽117 |
| gpt oss 120b | openai | ₽2.51/M | ₽14.25/M | ₽122 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.19/M | ₽8.38/M | ₽126 |
| GPT-5 Nano (batch) | OpenAI | ₽2.10/M | ₽16.76/M | ₽126 |
| Granite 4.1 8B | ibm granite | ₽4.19/M | ₽8.38/M | ₽126 |
| Command R7B (12-2024) | cohere | ₽3.14/M | ₽12.57/M | ₽126 |
| Mythomax L2 13B | Gryphe | ₽5.03/M | ₽5.03/M | ₽126 |
| llama 3.2 1b:free | meta llama | ₽2.26/M | ₽16.84/M | ₽129 |
| gemma 3 12b it | ₽4.19/M | ₽12.57/M | ₽147 | |
| gemma 3n e4b it | ₽5.03/M | ₽10.06/M | ₽151 | |
| Laguna XS 2.1 | poolside | ₽5.03/M | ₽10.06/M | ₽151 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.04/M | ₽16.18/M | ₽162 |
| Gemini 2.5 Flash Lite (batch) | ₽4.19/M | ₽16.76/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.19/M | ₽16.76/M | ₽168 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.19/M | ₽16.76/M | ₽168 |
| Phi 4 | Microsoft | ₽5.87/M | ₽11.73/M | ₽176 |
| Hy3 | hy3 | ₽5.28/M | ₽17.60/M | ₽194 |
| Nova Lite | amazon | ₽5.03/M | ₽20.11/M | ₽201 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.38/M | ₽8.38/M | ₽210 |
| Reka Edge | rekaai | ₽8.38/M | ₽8.38/M | ₽210 |
| Qwen3.5 Flash | alibaba | ₽5.45/M | ₽21.79/M | ₽218 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.19/M | ₽27.66/M | ₽222 |
| Laguna S 2.1 | Poolside | ₽7.54/M | ₽15.09/M | ₽226 |
| qwen3.5 9b | qwen | ₽8.38/M | ₽12.57/M | ₽230 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.87/M | ₽23.47/M | ₽235 |
| deepseek v4 flash · latest | yandex | ₽6.70/M | ₽21.12/M | ₽240 |
| GPT-5 Nano | gpt 5 nano | ₽4.19/M | ₽33.52/M | ₽251 |
| qwen 2.5 7b instruct | qwen | ₽8.38/M | ₽16.76/M | ₽251 |
| Reka Flash 3 | rekaai | ₽8.38/M | ₽16.76/M | ₽251 |
| UI-TARS 7B | ByteDance | ₽8.38/M | ₽16.76/M | ₽251 |
| gpt oss safeguard 20b | openai | ₽6.29/M | ₽25.14/M | ₽251 |
| GPT-4o-mini (batch) | OpenAI | ₽6.29/M | ₽25.14/M | ₽251 |
| qwen3 32b | qwen | ₽6.70/M | ₽23.47/M | ₽251 |
| Seed 1.6 Flash | bytedance seed | ₽6.29/M | ₽25.14/M | ₽251 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.86/M | ₽20.95/M | ₽262 |
| glm 4.7 flash | z ai | ₽5.03/M | ₽33.52/M | ₽268 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.38/M | ₽20.95/M | ₽272 |
| Llama 4 Scout | llama 4 scout | ₽8.38/M | ₽25.14/M | ₽293 |
| Step 3.5 Flash | step 3.5 flash | ₽8.38/M | ₽25.14/M | ₽293 |
| Voxtral Small 24B 2507 | mistralai | ₽8.38/M | ₽25.14/M | ₽293 |
| Llama 3.3 70B | llama 3.3 70b | ₽8.38/M | ₽26.82/M | ₽302 |
| qwen3 14b | qwen | ₽10.06/M | ₽20.11/M | ₽302 |
| gemma 4 31b it | ₽8.38/M | ₽28.49/M | ₽310 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.12/M | ₽33.52/M | ₽310 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.57/M | ₽12.57/M | ₽314 |
| gemma 3 27b it | ₽6.70/M | ₽37.71/M | ₽323 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.52/M | ₽335 |
| gpt 4.1 nano | openai | ₽8.38/M | ₽33.52/M | ₽335 |
| Seed-2.0-Mini | bytedance seed | ₽8.38/M | ₽33.52/M | ₽335 |
| qwen3 vl 32b instruct | qwen | ₽8.72/M | ₽34.86/M | ₽349 |
| deepseek v4 flash | deepseek | ₽11.73/M | ₽23.47/M | ₽352 |
| mimo v2.5 | mimo v2.5 | ₽11.73/M | ₽23.47/M | ₽352 |
| gemma 4 26b a4b it | ₽10.06/M | ₽33.52/M | ₽369 | |
| llama guard 4 12b | meta llama | ₽15.09/M | ₽15.09/M | ₽377 |
| qwen3 235b a22b 2507 | qwen | ₽7.54/M | ₽46.09/M | ₽381 |
| Hermes 4 70B | nousresearch | ₽10.89/M | ₽33.52/M | ₽386 |
| qwen3 8b | qwen | ₽9.81/M | ₽38.13/M | ₽387 |
| qwen3 vl 8b instruct | qwen | ₽9.81/M | ₽38.13/M | ₽387 |
| Ling-2.6-1T | inclusionai | ₽6.29/M | ₽52.38/M | ₽388 |
| Ring-2.6-1T | inclusionai | ₽6.29/M | ₽52.38/M | ₽388 |
| qwen3 30b a3b | qwen | ₽10.06/M | ₽41.90/M | ₽411 |
| gpt 5.6 luna | openai | ₽8.38/M | ₽50.28/M | ₽419 |
| gpt 5.6 luna pro | openai | ₽8.38/M | ₽50.28/M | ₽419 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.38/M | ₽50.28/M | ₽419 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.38/M | ₽50.28/M | ₽419 |
| mistralai · ministral-14b-2512 | mistralai | ₽16.76/M | ₽16.76/M | ₽419 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.38/M | ₽52.38/M | ₽430 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.89/M -13% ввод | ₽43.58/M | ₽436 |
| Olmo 3 32B Think | allenai | ₽12.57/M | ₽41.90/M | ₽461 |
| hunyuan a13b | hunyuan a13b | ₽11.73/M | ₽47.77/M | ₽474 |
| Command R | command r | ₽12.57/M | ₽50.28/M | ₽503 |
| GPT-4o Mini | gpt 4o mini | ₽12.57/M | ₽50.28/M | ₽503 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.57/M | ₽50.28/M | ₽503 |
| MiniMax M3 (batch) | MiniMax | ₽12.57/M | ₽50.28/M | ₽503 |
| Small 4 | mistralai | ₽12.57/M | ₽50.28/M | ₽503 |
| Solar Pro 3 | upstage | ₽12.57/M | ₽50.28/M | ₽503 |
| Gemini 3.1 Flash Lite (batch) | ₽10.48/M | ₽62.85/M | ₽524 | |
| qwen3 coder next | qwen | ₽10.06/M | ₽67.04/M | ₽536 |
| glm 4.5 air | z ai | ₽10.89/M | ₽71.23/M | ₽574 |
| mistralai · mistral-saba | mistralai | ₽16.76/M | ₽50.28/M | ₽587 |
| deepseek v3.2 | deepseek | ₽22.54/M | ₽33.52/M | ₽618 |
| Llama 4 Maverick | llama 4 maverick | ₽16.76/M | ₽58.33/M | ₽627 |
| GPT-5 Mini (batch) | OpenAI | ₽10.48/M | ₽83.81/M | ₽629 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.38/M | ₽92.19/M | ₽629 |
| Rocinante 12B | thedrummer | ₽20.95/M | ₽41.90/M | ₽629 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.76/M | ₽67.04/M | ₽670 |
| qwen3.6 35b a3b | qwen | ₽12.57/M | ₽83.81/M | ₽670 |
| Gemini 3.7 Flash (batch) | ₽15.71/M | ₽78.57/M | ₽707 | |
| Uncensored | Venice | ₽16.76/M | ₽75.43/M | ₽712 |
| Cydonia 24B V4.1 | thedrummer | ₽25.14/M | ₽41.90/M | ₽712 |
| Trinity Large Preview | Arcee AI | ₽18.44/M | ₽71.23/M | ₽725 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽20.95/M | ₽62.85/M | ₽733 |
| Mercury 2 | inception | ₽20.95/M | ₽62.85/M | ₽733 |
| qwen2.5 vl 72b instruct | qwen | ₽20.95/M | ₽62.85/M | ₽733 |
| qwen3 coder flash | qwen | ₽16.34/M | ₽81.71/M | ₽735 |
| minimax m2.5 | minimax | ₽18.44/M | ₽75.43/M | ₽746 |
| Qwen Plus | qwen plus | ₽21.79/M | ₽65.37/M | ₽763 |
| qwen 2.5 72b instruct | qwen | ₽30.17/M | ₽33.52/M | ₽771 |
| Gemini 2.5 Flash (batch) | ₽12.57/M | ₽105/M | ₽775 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.57/M | ₽105/M | ₽775 | |
| qwen3.6 flash | qwen | ₽15.71/M | ₽94.28/M | ₽786 |
| minimax 01 | minimax | ₽16.76/M | ₽92.19/M | ₽796 |
| Step 3.7 Flash | step 3.7 flash | ₽16.76/M | ₽96.38/M | ₽817 |
| deepseek chat v3.1 | deepseek | ₽20.95/M | ₽79.62/M | ₽817 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽29.42/M | ₽46.51/M | ₽821 |
| llama 3.1 70b | llama 3.1 70b | ₽33.52/M | ₽33.52/M | ₽838 |
| UnslopNemo 12B | thedrummer | ₽33.52/M | ₽33.52/M | ₽838 |
| Nex-N2-Pro | nex agi | ₽20.95/M | ₽83.81/M | ₽838 |
| deepseek v3.1 terminus | deepseek | ₽22.63/M | ₽79.62/M | ₽851 |
| minimax m2 | minimax | ₽21.37/M | ₽85.48/M | ₽855 |
| gpt 5.4 nano | openai | ₽16.76/M | ₽105/M | ₽859 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.57/M | ₽86.21/M | ₽862 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.79/M | ₽87.16/M | ₽872 |
| Mk1 | perceptron | ₽12.57/M | ₽126/M | ₽880 |
| glm 4.6v | z ai | ₽25.14/M | ₽75.43/M | ₽880 |
| mistralai · codestral-2508 | mistralai | ₽25.14/M | ₽75.43/M | ₽880 |
| qwen3 coder | qwen | ₽25.14/M | ₽83.81/M | ₽922 |
| Claude 3 Haiku | Anthropic | ₽20.95/M | ₽105/M | ₽943 |
| qwen3.5 35b a3b | qwen | ₽20.95/M | ₽105/M | ₽943 |
| qwen3.5 27b | qwen | ₽16.34/M | ₽131/M | ₽981 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.14/M | ₽101/M | ₽1 006 |
| LongCat 2.0 | meituan | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2 her | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2.1 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2.7 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m3 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| ReMM-SLERP-L2-13B | undi95 | ₽37.71/M | ₽54.47/M | ₽1 027 |
| Gemini 3 Flash Preview (batch) | ₽20.95/M | ₽126/M | ₽1 048 | |
| gemini 3.1 flash lite | ₽20.95/M | ₽126/M | ₽1 048 | |
| gemini 3.1 flash lite image | ₽20.95/M | ₽126/M | ₽1 048 | |
| qwen3.7 plus | qwen | ₽26.82/M | ₽107/M | ₽1 073 |
| qwen3.5 plus | qwen3.5 plus | ₽21.79/M | ₽131/M | ₽1 089 |
| deepseek v4 pro | deepseek | ₽36.46/M | ₽72.91/M | ₽1 094 |
| mimo v2.5 pro | mimo v2.5 pro | ₽36.46/M | ₽72.91/M | ₽1 094 |
| Weaver (alpha) | mancer | ₽41.90/M | ₽62.85/M | ₽1 152 |
| Muse Glimmer 30B | muse glimmer 30b | ₽29.33/M | ₽126/M | ₽1 215 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽35.20/M | ₽105/M | ₽1 228 |
| gpt 5.1 codex mini | openai | ₽20.95/M | ₽168/M | ₽1 257 |
| GPT-5 Mini | gpt 5 mini | ₽20.95/M | ₽168/M | ₽1 257 |
| Inkling Small | Thinking Machines | ₽37.71/M | ₽101/M | ₽1 257 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽25.14/M | ₽151/M | ₽1 257 |
| Seed 1.6 | bytedance seed | ₽20.95/M | ₽168/M | ₽1 257 |
| Seed-2.0-Lite | bytedance seed | ₽20.95/M | ₽168/M | ₽1 257 |
| Skyfall 36B V2 | thedrummer | ₽46.09/M | ₽67.04/M | ₽1 257 |
| WizardLM-2 8x22B | microsoft | ₽51.96/M | ₽51.96/M | ₽1 299 |
| gpt 4.1 mini | openai | ₽33.52/M | ₽134/M | ₽1 341 |
| gemma 2 27b it | ₽54.47/M | ₽54.47/M | ₽1 362 | |
| qwen3.6 plus | qwen | ₽27.24/M | ₽163/M | ₽1 362 |
| glm 4.7 | z ai | ₽33.52/M | ₽147/M | ₽1 404 |
| Llama 3.3 Euryale 70B | sao10k | ₽54.47/M | ₽62.85/M | ₽1 404 |
| Gemini 3.6 Flash (batch) | ₽31.43/M -50% ввод | ₽157/M | ₽1 414 | |
| gemini-3.7-flash | gemini 3 7 flash | ₽31.43/M | ₽157/M | ₽1 414 |
| Google Gemini Flash Latest | ₽31.43/M -75% ввод | ₽157/M | ₽1 414 | |
| gpt 3.5 turbo | openai | ₽41.90/M | ₽126/M | ₽1 467 |
| Hermes 3 70B Instruct | nousresearch | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Large 3 2512 | mistralai | ₽41.90/M | ₽126/M | ₽1 467 |
| qwen3.5 122b a10b | qwen | ₽24.30/M | ₽201/M | ₽1 492 |
| mistralai · mistral-medium-3 | mistralai | ₽33.52/M | ₽168/M | ₽1 509 |
| mistralai · mistral-medium-3.1 | mistralai | ₽33.52/M | ₽168/M | ₽1 509 |
| qwen3 235b a22b | qwen | ₽38.13/M | ₽153/M | ₽1 525 |
| qwen 2.5 coder 32b instruct | qwen | ₽55.31/M | ₽83.81/M | ₽1 525 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.14/M | ₽210/M | ₽1 550 |
| gemini 2.5 flash image | ₽25.14/M | ₽210/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.14/M | ₽210/M | ₽1 550 | |
| Nova 2 Lite | amazon | ₽25.14/M | ₽210/M | ₽1 550 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.43/M | ₽189/M | ₽1 571 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽39.81/M | ₽168/M | ₽1 634 |
| deepseek r1 distill llama 70b | deepseek | ₽67.04/M | ₽67.04/M | ₽1 676 |
| Inkling (batch) | Thinking Machines | ₽41.90/M | ₽170/M | ₽1 687 |
| DeepSeek R1 | deepseek r1 | ₽41.90/M | ₽180/M | ₽1 739 |
| Aion-3.0-Mini | AionLabs | ₽58.66/M | ₽117/M | ₽1 760 |
| glm 4.5v | z ai | ₽50.28/M | ₽151/M | ₽1 760 |
| Virtuoso Large | arcee ai | ₽62.85/M | ₽101/M | ₽1 760 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽71.23/M | ₽71.23/M | ₽1 781 |
| morph · morph-v3-fast | morph | ₽67.04/M | ₽101/M | ₽1 844 |
| glm 4.6 | z ai | ₽46.09/M | ₽184/M | ₽1 844 |
| minimax m1 | minimax | ₽46.09/M | ₽184/M | ₽1 844 |
| o3 Mini (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o3 Mini High (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o4 Mini (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o4 Mini High (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.90/M | ₽210/M | ₽1 886 |
| glm 5.2 | z ai | ₽52.80/M | ₽166/M -37% вывод | ₽1 886 |
| Seed 2.1 Turbo | ByteDance Seed | ₽41.90/M | ₽210/M | ₽1 886 |
| Kimi K2 | kimi k2 | ₽47.77/M | ₽193/M | ₽1 919 |
| glm 4.5 | z ai | ₽50.28/M | ₽184/M | ₽1 928 |
| Apply 3 | relace | ₽71.23/M | ₽105/M | ₽1 948 |
| Aion-2.0 | aion labs | ₽67.04/M | ₽134/M | ₽2 011 |
| Aion-RP 1.0 (8B) | aion labs | ₽67.04/M | ₽134/M | ₽2 011 |
| gpt audio mini | openai | ₽50.28/M | ₽201/M | ₽2 011 |
| Gemini 3 Flash | gemini 3 flash | ₽41.90/M | ₽251/M | ₽2 095 |
| gemini 3.1 flash image | ₽41.90/M | ₽251/M | ₽2 095 | |
| GLM 5.2 (batch) | Z.ai | ₽58.66/M | ₽184/M | ₽2 095 |
| Hermes 3 405B Instruct | nousresearch | ₽83.81/M | ₽83.81/M | ₽2 095 |
| Seed-2.0-Code | ByteDance Seed | ₽41.90/M | ₽251/M | ₽2 095 |
| Sonar | perplexity | ₽83.81/M | ₽83.81/M | ₽2 095 |
| Kimi K2.5 | kimi k2.5 | ₽47.77/M | ₽239/M | ₽2 150 |
| morph · morph-v3-large | morph | ₽75.43/M | ₽159/M | ₽2 305 |
| qwen3.5 397b a17b | qwen | ₽41.90/M | ₽302/M | ₽2 347 |
| qwen3 coder plus | qwen | ₽54.47/M | ₽272/M | ₽2 451 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽62.02/M | ₽248/M | ₽2 481 |
| grok build 0.1 | x ai | ₽83.81/M | ₽168/M | ₽2 514 |
| Nemotron 3 Ultra | nvidia | ₽50.28/M | ₽302/M | ₽2 514 |
| qwen3.6 27b | qwen | ₽50.28/M | ₽302/M | ₽2 514 |
| kimi k2.7 code | moonshotai | ₽56.15/M | ₽285/M | ₽2 548 |
| Cogito v2.1 671B | deepcogito | ₽105/M | ₽105/M | ₽2 619 |
| GLM-5 | glm 5 | ₽79.62/M | ₽214/M | ₽2 661 |
| Nova Pro | amazon | ₽67.04/M | ₽268/M | ₽2 682 |
| gemini 3.6 flash | ₽62.85/M -50% ввод | ₽314/M | ₽2 828 | |
| Hermes 4 405B | nousresearch | ₽83.81/M | ₽251/M | ₽2 933 |
| Search | relace | ₽83.81/M | ₽251/M | ₽2 933 |
| Qwen3 Max | qwen3 max | ₽65.37/M | ₽327/M | ₽2 942 |
| Gemini 2.5 Pro (batch) | ₽52.38/M | ₽419/M | ₽3 143 | |
| Gemini 3.5 Flash (batch) | ₽62.85/M | ₽377/M | ₽3 143 | |
| gpt 5.4 mini | openai | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT-5 (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| GPT-5 Codex (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| GPT-5.1 (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| grok 4.20 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| grok 4.20 multi agent | x ai | ₽105/M | ₽210/M | ₽3 143 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| OpenAI GPT Mini Latest | ~openai | ₽62.85/M | ₽377/M | ₽3 143 |
| kimi k2.6 | moonshotai | ₽79.62/M | ₽335/M | ₽3 268 |
| Sakana Namazu | Sakana | ₽79.62/M | ₽335/M | ₽3 268 |
| Inkling | Thinking Machines | ₽79.62/M | ₽339/M | ₽3 289 |
| GPT-4.1 (batch) | OpenAI | ₽83.81/M | ₽335/M | ₽3 352 |
| o3 (batch) | OpenAI | ₽83.81/M | ₽335/M | ₽3 352 |
| Palmyra X5 | writer | ₽50.28/M | ₽503/M | ₽3 520 |
| glm 5 turbo | z ai | ₽101/M | ₽335/M | ₽3 687 |
| glm 5v turbo | z ai | ₽101/M | ₽335/M | ₽3 687 |
| O3 Mini | o3 mini | ₽92.19/M | ₽369/M | ₽3 687 |
| o3 mini high | openai | ₽92.19/M | ₽369/M | ₽3 687 |
| O4 Mini | o4 mini | ₽92.19/M | ₽369/M | ₽3 687 |
| o4 mini high | openai | ₽92.19/M | ₽369/M | ₽3 687 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽83.81/M | ₽419/M | ₽3 771 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.81/M | ₽419/M | ₽3 771 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.81/M | ₽419/M | ₽3 771 |
| Muse Spark 1.1 | muse spark 1.1 | ₽105/M | ₽356/M | ₽3 876 |
| Muse Spark 1.2 | muse spark 1.2 | ₽105/M | ₽356/M | ₽3 876 |
| Gemini 3.1 Pro Preview (batch) | ₽83.81/M | ₽503/M | ₽4 190 | |
| glm 5.1 | z ai | ₽117/M | ₽369/M | ₽4 190 |
| gpt 5.6 terra | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 terra pro | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽419/M | ₽4 190 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.81/M | ₽503/M | ₽4 190 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽83.81/M | ₽503/M | ₽4 190 |
| Qwen3.6 Max | qwen3.6 max | ₽86.07/M | ₽516/M | ₽4 303 |
| qwen3.7 max | qwen | ₽124/M | ₽371/M | ₽4 326 |
| GPT-5.2 (batch) | OpenAI | ₽73.33/M | ₽587/M | ₽4 400 |
| gpt 5 image mini | openai | ₽210/M | ₽168/M | ₽5 028 |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽629/M | ₽5 238 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽629/M | ₽5 657 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽629/M | ₽5 657 |
| mistralai · mistral-medium-3-5 | mistralai | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.5 | x ai | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.6 | grok 4.6 | ₽168/M | ₽503/M | ₽5 866 |
| Grok Latest | xAI | ₽168/M | ₽503/M | ₽5 866 |
| Mistral Large 2407 | Mistral large 2407 | ₽168/M | ₽503/M | ₽5 866 |
| mistralai · mistral-large | mistralai | ₽168/M | ₽503/M | ₽5 866 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽168/M | ₽503/M | ₽5 866 |
| Qwen 3.8 Max | alibaba | ₽168/M | ₽503/M | ₽5 866 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽168/M | ₽503/M | ₽5 866 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 285 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 285 | |
| gpt 5.1 | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex max | openai | ₽105/M | ₽838/M | ₽6 285 |
| GPT-5 | gpt 5 | ₽105/M | ₽838/M | ₽6 285 |
| gpt 3.5 turbo 16k | openai | ₽251/M | ₽335/M | ₽6 704 |
| gpt 4.1 | openai | ₽168/M | ₽670/M | ₽6 704 |
| Jamba Large 1.7 | ai21 | ₽168/M | ₽670/M | ₽6 704 |
| O3 | o3 | ₽168/M | ₽670/M | ₽6 704 |
| sonar deep research | perplexity | ₽168/M | ₽670/M | ₽6 704 |
| sonar reasoning pro | perplexity | ₽168/M | ₽670/M | ₽6 704 |
| Magnum v4 72B | anthracite org | ₽251/M | ₽419/M | ₽7 123 |
| Aion-3.0 | AionLabs | ₽251/M | ₽503/M | ₽7 543 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽168/M | ₽838/M | ₽7 543 |
| claude sonnet 5 | anthropic | ₽168/M | ₽838/M | ₽7 543 |
| Cohere Command A | cohere command a | ₽210/M | ₽838/M | ₽8 381 |
| Command R Plus | command r plus | ₽210/M | ₽838/M | ₽8 381 |
| gemini 3 pro image | ₽168/M | ₽1 006/M | ₽8 381 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 381 |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 006/M | ₽8 381 | |
| Google Gemini Pro Latest | ₽168/M | ₽1 006/M | ₽8 381 | |
| gpt audio | openai | ₽210/M | ₽838/M | ₽8 381 |
| GPT-4o | gpt 4o | ₽210/M | ₽838/M | ₽8 381 |
| gpt 5.2 | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| Claude Opus 4.5 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.6 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.7 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.8 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 5 (batch) | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Nova Premier 1.0 | amazon | ₽210/M | ₽1 048/M | ₽9 428 |
| gpt 5.4 | openai | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.5 (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.6 Sol (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽235/M | ₽1 173/M | ₽10 560 |
| Claude Sonnet 4 | claude sonnet 4 | ₽251/M | ₽1 257/M | ₽11 314 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽251/M | ₽1 257/M | ₽11 314 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽251/M | ₽1 257/M | ₽11 314 |
| kimi k3 | moonshotai | ₽251/M | ₽1 257/M | ₽11 314 |
| sonar pro | perplexity | ₽251/M | ₽1 257/M | ₽11 314 |
| GPT-4 Turbo (batch) | OpenAI | ₽419/M | ₽1 257/M | ₽14 666 |
| Claude Fable 5 (batch) | Anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.5 | claude opus 4 5 | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.6 | claude opus 4 6 | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.7 | claude opus 4 7 | ₽419/M | ₽2 095/M | ₽18 856 |
| claude opus 4.8 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| claude opus 5 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus Latest | Anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| GPT-5.4 Image 2 | openai | ₽670/M | ₽1 257/M | ₽19 694 |
| Fugu Ultra | sakana | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.5 | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.6 sol | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.6 sol pro | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| GPT Chat | gpt chat latest | ₽419/M | ₽2 514/M | ₽20 951 |
| OpenAI GPT Latest | ~openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5 image | openai | ₽838/M | ₽838/M | ₽20 951 |
| o1 (batch) | OpenAI | ₽629/M | ₽2 514/M | ₽25 142 |
| Claude Opus 4.1 (batch) | Anthropic | ₽629/M | ₽3 143/M | ₽28 284 |
| gpt 4 turbo | openai | ₽838/M | ₽2 514/M | ₽29 332 |
| o3 Pro (batch) | OpenAI | ₽838/M | ₽3 352/M | ₽33 522 |
| claude fable 5 | anthropic | ₽838/M | ₽4 190/M | ₽37 713 |
| Claude Fable Latest | Anthropic | ₽838/M | ₽4 190/M | ₽37 713 |
| GPT-5 Pro (batch) | OpenAI | ₽629/M | ₽5 028/M | ₽37 713 |
| O1 | o1 | ₽1 257/M | ₽5 028/M | ₽50 283 |
| GPT-5.2 Pro (batch) | OpenAI | ₽880/M | ₽7 040/M | ₽52 798 |
| Claude Opus 4 | claude opus 4 | ₽1 257/M | ₽6 285/M | ₽56 569 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 257/M | ₽7 543/M | ₽62 854 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 257/M | ₽7 543/M | ₽62 854 |
| o3 pro | openai | ₽1 676/M | ₽6 704/M | ₽67 045 |
| gpt 4 | openai | ₽2 514/M | ₽5 028/M | ₽75 425 |
| gpt 5 pro | openai | ₽1 257/M | ₽10 057/M | ₽75 425 |
| gpt 5.2 pro | openai | ₽1 760/M | ₽14 079/M | ₽105 595 |
| gpt 5.4 pro | openai | ₽2 514/M | ₽15 085/M | ₽125 709 |
| gpt 5.5 pro | openai | ₽2 514/M | ₽15 085/M | ₽125 709 |
| o1-pro (batch) | OpenAI | ₽6 285/M | ₽25 142/M | ₽251 417 |
| o1 pro | openai | ₽12 571/M | ₽50 283/M | ₽502 835 |
Без публичной цены
нет данных в открытых источниках · 13
▼
Без публичной цены
нет данных в открытых источниках · 13
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Fusion | openrouter | — |
| LFM2.5-2.6B (Бесплатно) | LiquidAI | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Pareto Code Router | alltokens | — |
Текст и чат
оплата за токены · 353
▼
Текст и чат
оплата за токены · 353
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-2.6-flash | inclusionai | ₽0.84/M | ₽2.51/M | ₽29 |
| mistralai · mistral-nemo | mistralai | ₽1.59/M | ₽2.51/M | ₽44 |
| Ling-3.0-flash | inclusionai | ₽1.76/M | ₽5.28/M | ₽62 |
| granite-4.0-h-micro | ibm granite | ₽1.42/M | ₽9.39/M | ₽75 |
| Nex-N2-Mini | nex agi | ₽2.10/M | ₽8.38/M | ₽84 |
| Llama 3 8B Lunaris | sao10k | ₽3.35/M | ₽4.19/M | ₽88 |
| Solar Pro 4 | upstage | ₽2.51/M | ₽10.06/M | ₽101 |
| gpt oss 20b | openai | ₽2.51/M | ₽10.89/M | ₽105 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.51/M | ₽10.89/M | ₽105 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| Llama 3.1 8B | llama 3.1 8b | ₽4.19/M | ₽6.70/M | ₽117 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.19/M | ₽6.70/M | ₽117 |
| gpt oss 120b | openai | ₽2.51/M | ₽14.25/M | ₽122 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.19/M | ₽8.38/M | ₽126 |
| GPT-5 Nano (batch) | OpenAI | ₽2.10/M | ₽16.76/M | ₽126 |
| Granite 4.1 8B | ibm granite | ₽4.19/M | ₽8.38/M | ₽126 |
| Command R7B (12-2024) | cohere | ₽3.14/M | ₽12.57/M | ₽126 |
| Mythomax L2 13B | Gryphe | ₽5.03/M | ₽5.03/M | ₽126 |
| llama 3.2 1b:free | meta llama | ₽2.26/M | ₽16.84/M | ₽129 |
| gemma 3 12b it | ₽4.19/M | ₽12.57/M | ₽147 | |
| gemma 3n e4b it | ₽5.03/M | ₽10.06/M | ₽151 | |
| Laguna XS 2.1 | poolside | ₽5.03/M | ₽10.06/M | ₽151 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.04/M | ₽16.18/M | ₽162 |
| Gemini 2.5 Flash Lite (batch) | ₽4.19/M | ₽16.76/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.19/M | ₽16.76/M | ₽168 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.19/M | ₽16.76/M | ₽168 |
| Phi 4 | Microsoft | ₽5.87/M | ₽11.73/M | ₽176 |
| Hy3 | hy3 | ₽5.28/M | ₽17.60/M | ₽194 |
| Nova Lite | amazon | ₽5.03/M | ₽20.11/M | ₽201 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.38/M | ₽8.38/M | ₽210 |
| Reka Edge | rekaai | ₽8.38/M | ₽8.38/M | ₽210 |
| Qwen3.5 Flash | alibaba | ₽5.45/M | ₽21.79/M | ₽218 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.19/M | ₽27.66/M | ₽222 |
| Laguna S 2.1 | Poolside | ₽7.54/M | ₽15.09/M | ₽226 |
| qwen3.5 9b | qwen | ₽8.38/M | ₽12.57/M | ₽230 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.87/M | ₽23.47/M | ₽235 |
| deepseek v4 flash · latest | yandex | ₽6.70/M | ₽21.12/M | ₽240 |
| GPT-5 Nano | gpt 5 nano | ₽4.19/M | ₽33.52/M | ₽251 |
| qwen 2.5 7b instruct | qwen | ₽8.38/M | ₽16.76/M | ₽251 |
| Reka Flash 3 | rekaai | ₽8.38/M | ₽16.76/M | ₽251 |
| UI-TARS 7B | ByteDance | ₽8.38/M | ₽16.76/M | ₽251 |
| gpt oss safeguard 20b | openai | ₽6.29/M | ₽25.14/M | ₽251 |
| GPT-4o-mini (batch) | OpenAI | ₽6.29/M | ₽25.14/M | ₽251 |
| qwen3 32b | qwen | ₽6.70/M | ₽23.47/M | ₽251 |
| Seed 1.6 Flash | bytedance seed | ₽6.29/M | ₽25.14/M | ₽251 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.86/M | ₽20.95/M | ₽262 |
| glm 4.7 flash | z ai | ₽5.03/M | ₽33.52/M | ₽268 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.38/M | ₽20.95/M | ₽272 |
| Llama 4 Scout | llama 4 scout | ₽8.38/M | ₽25.14/M | ₽293 |
| Step 3.5 Flash | step 3.5 flash | ₽8.38/M | ₽25.14/M | ₽293 |
| Voxtral Small 24B 2507 | mistralai | ₽8.38/M | ₽25.14/M | ₽293 |
| Llama 3.3 70B | llama 3.3 70b | ₽8.38/M | ₽26.82/M | ₽302 |
| qwen3 14b | qwen | ₽10.06/M | ₽20.11/M | ₽302 |
| gemma 4 31b it | ₽8.38/M | ₽28.49/M | ₽310 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.12/M | ₽33.52/M | ₽310 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.57/M | ₽12.57/M | ₽314 |
| gemma 3 27b it | ₽6.70/M | ₽37.71/M | ₽323 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.52/M | ₽335 |
| gpt 4.1 nano | openai | ₽8.38/M | ₽33.52/M | ₽335 |
| Seed-2.0-Mini | bytedance seed | ₽8.38/M | ₽33.52/M | ₽335 |
| qwen3 vl 32b instruct | qwen | ₽8.72/M | ₽34.86/M | ₽349 |
| deepseek v4 flash | deepseek | ₽11.73/M | ₽23.47/M | ₽352 |
| mimo v2.5 | mimo v2.5 | ₽11.73/M | ₽23.47/M | ₽352 |
| gemma 4 26b a4b it | ₽10.06/M | ₽33.52/M | ₽369 | |
| llama guard 4 12b | meta llama | ₽15.09/M | ₽15.09/M | ₽377 |
| qwen3 235b a22b 2507 | qwen | ₽7.54/M | ₽46.09/M | ₽381 |
| Hermes 4 70B | nousresearch | ₽10.89/M | ₽33.52/M | ₽386 |
| qwen3 8b | qwen | ₽9.81/M | ₽38.13/M | ₽387 |
| qwen3 vl 8b instruct | qwen | ₽9.81/M | ₽38.13/M | ₽387 |
| Ling-2.6-1T | inclusionai | ₽6.29/M | ₽52.38/M | ₽388 |
| Ring-2.6-1T | inclusionai | ₽6.29/M | ₽52.38/M | ₽388 |
| qwen3 30b a3b | qwen | ₽10.06/M | ₽41.90/M | ₽411 |
| gpt 5.6 luna | openai | ₽8.38/M | ₽50.28/M | ₽419 |
| gpt 5.6 luna pro | openai | ₽8.38/M | ₽50.28/M | ₽419 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.38/M | ₽50.28/M | ₽419 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.38/M | ₽50.28/M | ₽419 |
| mistralai · ministral-14b-2512 | mistralai | ₽16.76/M | ₽16.76/M | ₽419 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.38/M | ₽52.38/M | ₽430 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.89/M -13% ввод | ₽43.58/M | ₽436 |
| Olmo 3 32B Think | allenai | ₽12.57/M | ₽41.90/M | ₽461 |
| hunyuan a13b | hunyuan a13b | ₽11.73/M | ₽47.77/M | ₽474 |
| Command R | command r | ₽12.57/M | ₽50.28/M | ₽503 |
| GPT-4o Mini | gpt 4o mini | ₽12.57/M | ₽50.28/M | ₽503 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.57/M | ₽50.28/M | ₽503 |
| MiniMax M3 (batch) | MiniMax | ₽12.57/M | ₽50.28/M | ₽503 |
| Small 4 | mistralai | ₽12.57/M | ₽50.28/M | ₽503 |
| Solar Pro 3 | upstage | ₽12.57/M | ₽50.28/M | ₽503 |
| Gemini 3.1 Flash Lite (batch) | ₽10.48/M | ₽62.85/M | ₽524 | |
| qwen3 coder next | qwen | ₽10.06/M | ₽67.04/M | ₽536 |
| glm 4.5 air | z ai | ₽10.89/M | ₽71.23/M | ₽574 |
| mistralai · mistral-saba | mistralai | ₽16.76/M | ₽50.28/M | ₽587 |
| deepseek v3.2 | deepseek | ₽22.54/M | ₽33.52/M | ₽618 |
| Llama 4 Maverick | llama 4 maverick | ₽16.76/M | ₽58.33/M | ₽627 |
| GPT-5 Mini (batch) | OpenAI | ₽10.48/M | ₽83.81/M | ₽629 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.38/M | ₽92.19/M | ₽629 |
| Rocinante 12B | thedrummer | ₽20.95/M | ₽41.90/M | ₽629 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.76/M | ₽67.04/M | ₽670 |
| qwen3.6 35b a3b | qwen | ₽12.57/M | ₽83.81/M | ₽670 |
| Gemini 3.7 Flash (batch) | ₽15.71/M | ₽78.57/M | ₽707 | |
| Uncensored | Venice | ₽16.76/M | ₽75.43/M | ₽712 |
| Cydonia 24B V4.1 | thedrummer | ₽25.14/M | ₽41.90/M | ₽712 |
| Trinity Large Preview | Arcee AI | ₽18.44/M | ₽71.23/M | ₽725 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽20.95/M | ₽62.85/M | ₽733 |
| Mercury 2 | inception | ₽20.95/M | ₽62.85/M | ₽733 |
| qwen2.5 vl 72b instruct | qwen | ₽20.95/M | ₽62.85/M | ₽733 |
| qwen3 coder flash | qwen | ₽16.34/M | ₽81.71/M | ₽735 |
| minimax m2.5 | minimax | ₽18.44/M | ₽75.43/M | ₽746 |
| Qwen Plus | qwen plus | ₽21.79/M | ₽65.37/M | ₽763 |
| qwen 2.5 72b instruct | qwen | ₽30.17/M | ₽33.52/M | ₽771 |
| Gemini 2.5 Flash (batch) | ₽12.57/M | ₽105/M | ₽775 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.57/M | ₽105/M | ₽775 | |
| qwen3.6 flash | qwen | ₽15.71/M | ₽94.28/M | ₽786 |
| minimax 01 | minimax | ₽16.76/M | ₽92.19/M | ₽796 |
| Step 3.7 Flash | step 3.7 flash | ₽16.76/M | ₽96.38/M | ₽817 |
| deepseek chat v3.1 | deepseek | ₽20.95/M | ₽79.62/M | ₽817 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽29.42/M | ₽46.51/M | ₽821 |
| llama 3.1 70b | llama 3.1 70b | ₽33.52/M | ₽33.52/M | ₽838 |
| UnslopNemo 12B | thedrummer | ₽33.52/M | ₽33.52/M | ₽838 |
| Nex-N2-Pro | nex agi | ₽20.95/M | ₽83.81/M | ₽838 |
| deepseek v3.1 terminus | deepseek | ₽22.63/M | ₽79.62/M | ₽851 |
| minimax m2 | minimax | ₽21.37/M | ₽85.48/M | ₽855 |
| gpt 5.4 nano | openai | ₽16.76/M | ₽105/M | ₽859 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.57/M | ₽86.21/M | ₽862 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.79/M | ₽87.16/M | ₽872 |
| Mk1 | perceptron | ₽12.57/M | ₽126/M | ₽880 |
| glm 4.6v | z ai | ₽25.14/M | ₽75.43/M | ₽880 |
| mistralai · codestral-2508 | mistralai | ₽25.14/M | ₽75.43/M | ₽880 |
| qwen3 coder | qwen | ₽25.14/M | ₽83.81/M | ₽922 |
| Claude 3 Haiku | Anthropic | ₽20.95/M | ₽105/M | ₽943 |
| qwen3.5 35b a3b | qwen | ₽20.95/M | ₽105/M | ₽943 |
| qwen3.5 27b | qwen | ₽16.34/M | ₽131/M | ₽981 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.14/M | ₽101/M | ₽1 006 |
| LongCat 2.0 | meituan | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2 her | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2.1 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m2.7 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| minimax m3 | minimax | ₽25.14/M | ₽101/M | ₽1 006 |
| ReMM-SLERP-L2-13B | undi95 | ₽37.71/M | ₽54.47/M | ₽1 027 |
| Gemini 3 Flash Preview (batch) | ₽20.95/M | ₽126/M | ₽1 048 | |
| gemini 3.1 flash lite | ₽20.95/M | ₽126/M | ₽1 048 | |
| gemini 3.1 flash lite image | ₽20.95/M | ₽126/M | ₽1 048 | |
| qwen3.7 plus | qwen | ₽26.82/M | ₽107/M | ₽1 073 |
| qwen3.5 plus | qwen3.5 plus | ₽21.79/M | ₽131/M | ₽1 089 |
| deepseek v4 pro | deepseek | ₽36.46/M | ₽72.91/M | ₽1 094 |
| mimo v2.5 pro | mimo v2.5 pro | ₽36.46/M | ₽72.91/M | ₽1 094 |
| Weaver (alpha) | mancer | ₽41.90/M | ₽62.85/M | ₽1 152 |
| Muse Glimmer 30B | muse glimmer 30b | ₽29.33/M | ₽126/M | ₽1 215 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽35.20/M | ₽105/M | ₽1 228 |
| gpt 5.1 codex mini | openai | ₽20.95/M | ₽168/M | ₽1 257 |
| GPT-5 Mini | gpt 5 mini | ₽20.95/M | ₽168/M | ₽1 257 |
| Inkling Small | Thinking Machines | ₽37.71/M | ₽101/M | ₽1 257 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽25.14/M | ₽151/M | ₽1 257 |
| Seed 1.6 | bytedance seed | ₽20.95/M | ₽168/M | ₽1 257 |
| Seed-2.0-Lite | bytedance seed | ₽20.95/M | ₽168/M | ₽1 257 |
| Skyfall 36B V2 | thedrummer | ₽46.09/M | ₽67.04/M | ₽1 257 |
| WizardLM-2 8x22B | microsoft | ₽51.96/M | ₽51.96/M | ₽1 299 |
| gpt 4.1 mini | openai | ₽33.52/M | ₽134/M | ₽1 341 |
| gemma 2 27b it | ₽54.47/M | ₽54.47/M | ₽1 362 | |
| qwen3.6 plus | qwen | ₽27.24/M | ₽163/M | ₽1 362 |
| glm 4.7 | z ai | ₽33.52/M | ₽147/M | ₽1 404 |
| Llama 3.3 Euryale 70B | sao10k | ₽54.47/M | ₽62.85/M | ₽1 404 |
| Gemini 3.6 Flash (batch) | ₽31.43/M -50% ввод | ₽157/M | ₽1 414 | |
| gemini-3.7-flash | gemini 3 7 flash | ₽31.43/M | ₽157/M | ₽1 414 |
| Google Gemini Flash Latest | ₽31.43/M -75% ввод | ₽157/M | ₽1 414 | |
| gpt 3.5 turbo | openai | ₽41.90/M | ₽126/M | ₽1 467 |
| Hermes 3 70B Instruct | nousresearch | ₽58.66/M | ₽58.66/M | ₽1 467 |
| Large 3 2512 | mistralai | ₽41.90/M | ₽126/M | ₽1 467 |
| qwen3.5 122b a10b | qwen | ₽24.30/M | ₽201/M | ₽1 492 |
| mistralai · mistral-medium-3 | mistralai | ₽33.52/M | ₽168/M | ₽1 509 |
| mistralai · mistral-medium-3.1 | mistralai | ₽33.52/M | ₽168/M | ₽1 509 |
| qwen3 235b a22b | qwen | ₽38.13/M | ₽153/M | ₽1 525 |
| qwen 2.5 coder 32b instruct | qwen | ₽55.31/M | ₽83.81/M | ₽1 525 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.14/M | ₽210/M | ₽1 550 |
| gemini 2.5 flash image | ₽25.14/M | ₽210/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.14/M | ₽210/M | ₽1 550 | |
| Nova 2 Lite | amazon | ₽25.14/M | ₽210/M | ₽1 550 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.43/M | ₽189/M | ₽1 571 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽39.81/M | ₽168/M | ₽1 634 |
| deepseek r1 distill llama 70b | deepseek | ₽67.04/M | ₽67.04/M | ₽1 676 |
| Inkling (batch) | Thinking Machines | ₽41.90/M | ₽170/M | ₽1 687 |
| DeepSeek R1 | deepseek r1 | ₽41.90/M | ₽180/M | ₽1 739 |
| Aion-3.0-Mini | AionLabs | ₽58.66/M | ₽117/M | ₽1 760 |
| glm 4.5v | z ai | ₽50.28/M | ₽151/M | ₽1 760 |
| Virtuoso Large | arcee ai | ₽62.85/M | ₽101/M | ₽1 760 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽71.23/M | ₽71.23/M | ₽1 781 |
| morph · morph-v3-fast | morph | ₽67.04/M | ₽101/M | ₽1 844 |
| glm 4.6 | z ai | ₽46.09/M | ₽184/M | ₽1 844 |
| minimax m1 | minimax | ₽46.09/M | ₽184/M | ₽1 844 |
| o3 Mini (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o3 Mini High (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o4 Mini (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| o4 Mini High (batch) | OpenAI | ₽46.09/M | ₽184/M | ₽1 844 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.90/M | ₽210/M | ₽1 886 |
| glm 5.2 | z ai | ₽52.80/M | ₽166/M -37% вывод | ₽1 886 |
| Seed 2.1 Turbo | ByteDance Seed | ₽41.90/M | ₽210/M | ₽1 886 |
| Kimi K2 | kimi k2 | ₽47.77/M | ₽193/M | ₽1 919 |
| glm 4.5 | z ai | ₽50.28/M | ₽184/M | ₽1 928 |
| Apply 3 | relace | ₽71.23/M | ₽105/M | ₽1 948 |
| Aion-2.0 | aion labs | ₽67.04/M | ₽134/M | ₽2 011 |
| Aion-RP 1.0 (8B) | aion labs | ₽67.04/M | ₽134/M | ₽2 011 |
| gpt audio mini | openai | ₽50.28/M | ₽201/M | ₽2 011 |
| Gemini 3 Flash | gemini 3 flash | ₽41.90/M | ₽251/M | ₽2 095 |
| gemini 3.1 flash image | ₽41.90/M | ₽251/M | ₽2 095 | |
| GLM 5.2 (batch) | Z.ai | ₽58.66/M | ₽184/M | ₽2 095 |
| Hermes 3 405B Instruct | nousresearch | ₽83.81/M | ₽83.81/M | ₽2 095 |
| Seed-2.0-Code | ByteDance Seed | ₽41.90/M | ₽251/M | ₽2 095 |
| Sonar | perplexity | ₽83.81/M | ₽83.81/M | ₽2 095 |
| Kimi K2.5 | kimi k2.5 | ₽47.77/M | ₽239/M | ₽2 150 |
| morph · morph-v3-large | morph | ₽75.43/M | ₽159/M | ₽2 305 |
| qwen3.5 397b a17b | qwen | ₽41.90/M | ₽302/M | ₽2 347 |
| qwen3 coder plus | qwen | ₽54.47/M | ₽272/M | ₽2 451 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽62.02/M | ₽248/M | ₽2 481 |
| grok build 0.1 | x ai | ₽83.81/M | ₽168/M | ₽2 514 |
| Nemotron 3 Ultra | nvidia | ₽50.28/M | ₽302/M | ₽2 514 |
| qwen3.6 27b | qwen | ₽50.28/M | ₽302/M | ₽2 514 |
| kimi k2.7 code | moonshotai | ₽56.15/M | ₽285/M | ₽2 548 |
| Cogito v2.1 671B | deepcogito | ₽105/M | ₽105/M | ₽2 619 |
| GLM-5 | glm 5 | ₽79.62/M | ₽214/M | ₽2 661 |
| Nova Pro | amazon | ₽67.04/M | ₽268/M | ₽2 682 |
| gemini 3.6 flash | ₽62.85/M -50% ввод | ₽314/M | ₽2 828 | |
| Hermes 4 405B | nousresearch | ₽83.81/M | ₽251/M | ₽2 933 |
| Search | relace | ₽83.81/M | ₽251/M | ₽2 933 |
| Qwen3 Max | qwen3 max | ₽65.37/M | ₽327/M | ₽2 942 |
| Gemini 2.5 Pro (batch) | ₽52.38/M | ₽419/M | ₽3 143 | |
| Gemini 3.5 Flash (batch) | ₽62.85/M | ₽377/M | ₽3 143 | |
| gpt 5.4 mini | openai | ₽62.85/M | ₽377/M | ₽3 143 |
| GPT-5 (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| GPT-5 Codex (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| GPT-5.1 (batch) | OpenAI | ₽52.38/M | ₽419/M | ₽3 143 |
| grok 4.20 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| grok 4.20 multi agent | x ai | ₽105/M | ₽210/M | ₽3 143 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 143 |
| OpenAI GPT Mini Latest | ~openai | ₽62.85/M | ₽377/M | ₽3 143 |
| kimi k2.6 | moonshotai | ₽79.62/M | ₽335/M | ₽3 268 |
| Sakana Namazu | Sakana | ₽79.62/M | ₽335/M | ₽3 268 |
| Inkling | Thinking Machines | ₽79.62/M | ₽339/M | ₽3 289 |
| GPT-4.1 (batch) | OpenAI | ₽83.81/M | ₽335/M | ₽3 352 |
| o3 (batch) | OpenAI | ₽83.81/M | ₽335/M | ₽3 352 |
| Palmyra X5 | writer | ₽50.28/M | ₽503/M | ₽3 520 |
| glm 5 turbo | z ai | ₽101/M | ₽335/M | ₽3 687 |
| glm 5v turbo | z ai | ₽101/M | ₽335/M | ₽3 687 |
| O3 Mini | o3 mini | ₽92.19/M | ₽369/M | ₽3 687 |
| o3 mini high | openai | ₽92.19/M | ₽369/M | ₽3 687 |
| O4 Mini | o4 mini | ₽92.19/M | ₽369/M | ₽3 687 |
| o4 mini high | openai | ₽92.19/M | ₽369/M | ₽3 687 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽83.81/M | ₽419/M | ₽3 771 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.81/M | ₽419/M | ₽3 771 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.81/M | ₽419/M | ₽3 771 |
| Muse Spark 1.1 | muse spark 1.1 | ₽105/M | ₽356/M | ₽3 876 |
| Muse Spark 1.2 | muse spark 1.2 | ₽105/M | ₽356/M | ₽3 876 |
| Gemini 3.1 Pro Preview (batch) | ₽83.81/M | ₽503/M | ₽4 190 | |
| glm 5.1 | z ai | ₽117/M | ₽369/M | ₽4 190 |
| gpt 5.6 terra | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| gpt 5.6 terra pro | openai | ₽83.81/M | ₽503/M | ₽4 190 |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽419/M | ₽4 190 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.81/M | ₽503/M | ₽4 190 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽83.81/M | ₽503/M | ₽4 190 |
| Qwen3.6 Max | qwen3.6 max | ₽86.07/M | ₽516/M | ₽4 303 |
| qwen3.7 max | qwen | ₽124/M | ₽371/M | ₽4 326 |
| GPT-5.2 (batch) | OpenAI | ₽73.33/M | ₽587/M | ₽4 400 |
| gpt 5 image mini | openai | ₽210/M | ₽168/M | ₽5 028 |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽629/M | ₽5 238 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽629/M | ₽5 657 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽629/M | ₽5 657 |
| mistralai · mistral-medium-3-5 | mistralai | ₽126/M | ₽629/M | ₽5 657 |
| grok 4.5 | x ai | ₽168/M | ₽503/M | ₽5 866 |
| grok 4.6 | grok 4.6 | ₽168/M | ₽503/M | ₽5 866 |
| Grok Latest | xAI | ₽168/M | ₽503/M | ₽5 866 |
| Mistral Large 2407 | Mistral large 2407 | ₽168/M | ₽503/M | ₽5 866 |
| mistralai · mistral-large | mistralai | ₽168/M | ₽503/M | ₽5 866 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽168/M | ₽503/M | ₽5 866 |
| Qwen 3.8 Max | alibaba | ₽168/M | ₽503/M | ₽5 866 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽168/M | ₽503/M | ₽5 866 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 285 |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 285 | |
| gpt 5.1 | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex | openai | ₽105/M | ₽838/M | ₽6 285 |
| gpt 5.1 codex max | openai | ₽105/M | ₽838/M | ₽6 285 |
| GPT-5 | gpt 5 | ₽105/M | ₽838/M | ₽6 285 |
| gpt 3.5 turbo 16k | openai | ₽251/M | ₽335/M | ₽6 704 |
| gpt 4.1 | openai | ₽168/M | ₽670/M | ₽6 704 |
| Jamba Large 1.7 | ai21 | ₽168/M | ₽670/M | ₽6 704 |
| O3 | o3 | ₽168/M | ₽670/M | ₽6 704 |
| sonar deep research | perplexity | ₽168/M | ₽670/M | ₽6 704 |
| sonar reasoning pro | perplexity | ₽168/M | ₽670/M | ₽6 704 |
| Magnum v4 72B | anthracite org | ₽251/M | ₽419/M | ₽7 123 |
| Aion-3.0 | AionLabs | ₽251/M | ₽503/M | ₽7 543 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽168/M | ₽838/M | ₽7 543 |
| claude sonnet 5 | anthropic | ₽168/M | ₽838/M | ₽7 543 |
| Cohere Command A | cohere command a | ₽210/M | ₽838/M | ₽8 381 |
| Command R Plus | command r plus | ₽210/M | ₽838/M | ₽8 381 |
| gemini 3 pro image | ₽168/M | ₽1 006/M | ₽8 381 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 381 |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 006/M | ₽8 381 | |
| Google Gemini Pro Latest | ₽168/M | ₽1 006/M | ₽8 381 | |
| gpt audio | openai | ₽210/M | ₽838/M | ₽8 381 |
| GPT-4o | gpt 4o | ₽210/M | ₽838/M | ₽8 381 |
| gpt 5.2 | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 chat | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.2 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| gpt 5.3 codex | openai | ₽147/M | ₽1 173/M | ₽8 800 |
| Claude Opus 4.5 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.6 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.7 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 4.8 (batch) | Anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Claude Opus 5 (batch) | anthropic | ₽210/M | ₽1 048/M | ₽9 428 |
| Nova Premier 1.0 | amazon | ₽210/M | ₽1 048/M | ₽9 428 |
| gpt 5.4 | openai | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.5 (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.6 Sol (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽210/M | ₽1 257/M | ₽10 476 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽235/M | ₽1 173/M | ₽10 560 |
| Claude Sonnet 4 | claude sonnet 4 | ₽251/M | ₽1 257/M | ₽11 314 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽251/M | ₽1 257/M | ₽11 314 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽251/M | ₽1 257/M | ₽11 314 |
| kimi k3 | moonshotai | ₽251/M | ₽1 257/M | ₽11 314 |
| sonar pro | perplexity | ₽251/M | ₽1 257/M | ₽11 314 |
| GPT-4 Turbo (batch) | OpenAI | ₽419/M | ₽1 257/M | ₽14 666 |
| Claude Fable 5 (batch) | Anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.5 | claude opus 4 5 | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.6 | claude opus 4 6 | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus 4.7 | claude opus 4 7 | ₽419/M | ₽2 095/M | ₽18 856 |
| claude opus 4.8 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| claude opus 5 | anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| Claude Opus Latest | Anthropic | ₽419/M | ₽2 095/M | ₽18 856 |
| GPT-5.4 Image 2 | openai | ₽670/M | ₽1 257/M | ₽19 694 |
| Fugu Ultra | sakana | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.5 | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.6 sol | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5.6 sol pro | openai | ₽419/M | ₽2 514/M | ₽20 951 |
| GPT Chat | gpt chat latest | ₽419/M | ₽2 514/M | ₽20 951 |
| OpenAI GPT Latest | ~openai | ₽419/M | ₽2 514/M | ₽20 951 |
| gpt 5 image | openai | ₽838/M | ₽838/M | ₽20 951 |
| o1 (batch) | OpenAI | ₽629/M | ₽2 514/M | ₽25 142 |
| Claude Opus 4.1 (batch) | Anthropic | ₽629/M | ₽3 143/M | ₽28 284 |
| gpt 4 turbo | openai | ₽838/M | ₽2 514/M | ₽29 332 |
| o3 Pro (batch) | OpenAI | ₽838/M | ₽3 352/M | ₽33 522 |
| claude fable 5 | anthropic | ₽838/M | ₽4 190/M | ₽37 713 |
| Claude Fable Latest | Anthropic | ₽838/M | ₽4 190/M | ₽37 713 |
| GPT-5 Pro (batch) | OpenAI | ₽629/M | ₽5 028/M | ₽37 713 |
| O1 | o1 | ₽1 257/M | ₽5 028/M | ₽50 283 |
| GPT-5.2 Pro (batch) | OpenAI | ₽880/M | ₽7 040/M | ₽52 798 |
| Claude Opus 4 | claude opus 4 | ₽1 257/M | ₽6 285/M | ₽56 569 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 257/M | ₽7 543/M | ₽62 854 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 257/M | ₽7 543/M | ₽62 854 |
| o3 pro | openai | ₽1 676/M | ₽6 704/M | ₽67 045 |
| gpt 4 | openai | ₽2 514/M | ₽5 028/M | ₽75 425 |
| gpt 5 pro | openai | ₽1 257/M | ₽10 057/M | ₽75 425 |
| gpt 5.2 pro | openai | ₽1 760/M | ₽14 079/M | ₽105 595 |
| gpt 5.4 pro | openai | ₽2 514/M | ₽15 085/M | ₽125 709 |
| gpt 5.5 pro | openai | ₽2 514/M | ₽15 085/M | ₽125 709 |
| o1-pro (batch) | OpenAI | ₽6 285/M | ₽25 142/M | ₽251 417 |
| o1 pro | openai | ₽12 571/M | ₽50 283/M | ₽502 835 |
Без публичной цены
нет данных в открытых источниках · 13
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Без публичной цены
нет данных в открытых источниках · 13
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Fusion | openrouter | — |
| LFM2.5-2.6B (Бесплатно) | LiquidAI | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Pareto Code Router | alltokens | — |
О провайдере
О сервисе
OpenRouter — de facto стандарт для prod и экспериментов: один ключ, A/B тесты моделей, routing между DeepSeek, Anthropic, Google и др. Используется Replit, Kilo Code и сотнями тысяч приложений. Для российских проектов сравнивайте $/1M с Zveno/Polza в пересчёте на ₽.
Как сравнивать на AI-APISHKA
Прямой $/1M из каталога. Сравнивайте с TokenFlux и oFox; для RU-биллинга — RouterAI, Polza, Zveno.
Частые вопросы
- OpenRouter — подписка или pay-as-you-go?
- Credits без подписки: пополняете баланс и тратите на любые модели и провайдеров.
- OpenRouter совместим с OpenAI SDK?
- Да — меняете base URL на openrouter.ai/api/v1 и указываете API-ключ OpenRouter.
- Что такое Guardrails в OpenRouter?
- Политики безопасности: лимиты бюджета, zero data retention, ограничение моделей/провайдеров, защита от prompt injection.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
OpenRouter предлагает 368 моделей AI API. Средняя цена — ₽343/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.84/M (Ling-2.6-flash).
Сравните цены на Ling-2.6-flash , mistralai · mistral-nemo , Ling-3.0-flash , granite-4.0-h-micro и Nex-N2-Mini у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.08.2026.