365 моделей · за токены
- Моделей
- 365
- Средняя цена
- ₽328/M
- Регион
- Россия
- Биллинг
- за токены
- Юрлица
- Да
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
365 моделей
Текст и чат
оплата за токены · 365
▼
Текст и чат
оплата за токены · 365
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.34/M | ₽0.34/M | ₽7 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| bge-base-en-v1.5 | baai | ₽0.43/M | ₽0.43/M | ₽9 |
| E5-Base-v2 | Intfloat | ₽0.43/M | ₽0.43/M | ₽9 |
| GTE-Base | Thenlper | ₽0.43/M | ₽0.43/M | ₽9 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| bge-large-en-v1.5 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| E5-Large-v2 | Intfloat | ₽0.86/M | ₽0.86/M | ₽17 |
| GTE-Large | Thenlper | ₽0.86/M | ₽0.86/M | ₽17 |
| Multilingual-E5-Large | Intfloat | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.71/M | ₽1.71/M | ₽34 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| voyage-4-lite | VoyageAI by MongoDB | ₽1.71/M | ₽1.71/M | ₽34 |
| mistralai · mistral-nemo | mistralai | ₽1.63/M | ₽2.57/M | ₽45 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.57/M | ₽2.57/M | ₽51 |
| Ling-3.0-flash | inclusionai | ₽1.80/M | ₽5.39/M | ₽63 |
| granite-4.0-h-micro | ibm granite | ₽1.46/M | ₽9.59/M | ₽77 |
| Nex-N2-Mini | nex agi | ₽2.14/M | ₽8.56/M | ₽86 |
| Llama 3 8B Lunaris | sao10k | ₽3.42/M | ₽4.28/M | ₽90 |
| Solar Pro 4 | upstage | ₽2.57/M | ₽10.27/M | ₽103 |
| deepseek v4 flash · latest | yandex | ₽3.42/M | ₽6.85/M | ₽103 |
| voyage-4 | VoyageAI by MongoDB | ₽5.14/M | ₽5.14/M | ₽103 |
| gpt oss 20b | openai | ₽2.57/M | ₽11.13/M | ₽107 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| Amazon Nova Micro | nova micro | ₽3.00/M | ₽11.98/M | ₽120 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.28/M | ₽6.85/M | ₽120 |
| Command R7B (12-2024) | cohere | ₽3.21/M | ₽12.84/M | ₽128 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.28/M | ₽8.56/M | ₽128 |
| GPT-5 Nano (batch) | OpenAI | ₽2.14/M | ₽17.12/M | ₽128 |
| Granite 4.1 8B | ibm granite | ₽4.28/M | ₽8.56/M | ₽128 |
| Mythomax L2 13B | Gryphe | ₽5.14/M | ₽5.14/M | ₽128 |
| gpt oss 120b | openai | ₽3.17/M | ₽14.55/M | ₽136 |
| deepseek v4 flash | deepseek | ₽4.91/M | ₽9.83/M | ₽147 |
| gemma 3 12b it | ₽4.28/M | ₽12.84/M | ₽150 | |
| Hy-MT2-1.8B | tencent | ₽3.77/M | ₽15.15/M | ₽151 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽5.14/M | ₽10.27/M | ₽154 |
| Laguna XS 2.1 | poolside | ₽5.14/M | ₽10.27/M | ₽154 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.12/M | ₽16.53/M | ₽165 |
| Gemini 2.5 Flash Lite (batch) | ₽4.28/M | ₽17.12/M | ₽171 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.28/M | ₽17.12/M | ₽171 |
| Mistral Embed 2312 | Mistral | ₽8.56/M | ₽8.56/M | ₽171 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Phi 4 | Microsoft | ₽5.99/M | ₽11.98/M | ₽180 |
| Nova Lite | amazon | ₽5.14/M | ₽20.54/M | ₽205 |
| voyage-4-large | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| voyage-code-4 | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.56/M | ₽8.56/M | ₽214 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽6.42/M | ₽17.12/M | ₽214 |
| Reka Edge | rekaai | ₽8.56/M | ₽8.56/M | ₽214 |
| Qwen3.5 Flash | alibaba | ₽5.56/M | ₽22.26/M | ₽223 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.85/M | ₽17.12/M | ₽223 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| Laguna S 2.1 | poolside | ₽7.70/M | ₽15.41/M | ₽231 |
| Ministral 8B | mistralai | ₽9.42/M | ₽9.42/M | ₽235 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.99/M | ₽23.97/M | ₽240 |
| Hy-MT2-30B-A3B | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Hy-MT2-7B | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Codestral Embed 2505 | Mistral | ₽12.84/M | ₽12.84/M | ₽257 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| gpt oss safeguard 20b | openai | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-4o-mini (batch) | OpenAI | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| qwen 2.5 7b instruct | qwen | ₽8.56/M | ₽17.12/M | ₽257 |
| qwen3 32b | qwen | ₽6.85/M | ₽23.97/M | ₽257 |
| Reka Flash 3 | rekaai | ₽8.56/M | ₽17.12/M | ₽257 |
| Seed 1.6 Flash | bytedance seed | ₽6.42/M | ₽25.68/M | ₽257 |
| UI-TARS 7B | ByteDance | ₽8.56/M | ₽17.12/M | ₽257 |
| gemma 4 26b a4b it | ₽5.99/M | ₽29.10/M | ₽265 | |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| Voxtral Small 24B 2507 | mistralai | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 14b | qwen | ₽10.27/M | ₽20.54/M | ₽308 |
| gemma 4 31b it | ₽8.56/M | ₽29.10/M | ₽317 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.28/M | ₽34.24/M | ₽317 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.84/M | ₽12.84/M | ₽321 |
| gemma 3 27b it | ₽6.85/M | ₽38.52/M | ₽330 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Seed-2.0-Mini | bytedance seed | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3 vl 32b instruct | qwen | ₽8.90/M | ₽35.61/M | ₽356 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| qwen3 235b a22b 2507 | qwen | ₽7.70/M | ₽47.08/M | ₽389 |
| Hermes 4 70B | nousresearch | ₽11.13/M | ₽34.24/M | ₽394 |
| qwen3 8b | qwen | ₽10.02/M | ₽38.95/M | ₽395 |
| qwen3 vl 8b instruct | qwen | ₽10.02/M | ₽38.95/M | ₽395 |
| qwen3 30b a3b | qwen | ₽10.27/M | ₽42.80/M | ₽419 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.56/M | ₽51.36/M | ₽428 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.56/M | ₽51.36/M | ₽428 |
| mistralai · ministral-14b-2512 | mistralai | ₽17.12/M | ₽17.12/M | ₽428 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.56/M | ₽53.50/M | ₽439 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽11.13/M | ₽44.51/M | ₽445 |
| Hy3 | hy3 | ₽11.30/M | ₽45.20/M | ₽452 |
| Olmo 3 32B Think | allenai | ₽12.84/M | ₽42.80/M | ₽471 |
| hunyuan a13b | hunyuan a13b | ₽11.98/M | ₽48.79/M | ₽484 |
| Command R | command r | ₽12.84/M | ₽51.36/M | ₽514 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.84/M | ₽51.36/M | ₽514 |
| Small 4 | mistralai | ₽12.84/M | ₽51.36/M | ₽514 |
| Solar Pro 3 | upstage | ₽12.84/M | ₽51.36/M | ₽514 |
| Gemini 3.1 Flash Lite (batch) | ₽10.70/M | ₽64.20/M | ₽535 | |
| qwen3 coder next | qwen | ₽10.27/M | ₽68.48/M | ₽548 |
| glm 4.5 air | z ai | ₽11.13/M | ₽72.76/M | ₽586 |
| mistralai · mistral-saba | mistralai | ₽17.12/M | ₽51.36/M | ₽599 |
| deepseek v3.2 | deepseek | ₽22.26/M | ₽32.53/M | ₽608 |
| GPT-5 Mini (batch) | OpenAI | ₽10.70/M | ₽85.60/M | ₽642 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.56/M | ₽94.16/M | ₽642 |
| Rocinante 12B | thedrummer | ₽21.40/M | ₽42.80/M | ₽642 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| qwen3.6 35b a3b | qwen | ₽11.98/M | ₽85.60/M | ₽668 |
| GPT-4.1 Mini (batch) | OpenAI | ₽17.12/M | ₽68.48/M | ₽685 |
| Gemini 3.7 Flash (batch) | ₽16.05/M | ₽80.25/M | ₽722 | |
| Cydonia 24B V4.1 | thedrummer | ₽25.68/M | ₽42.80/M | ₽728 |
| Uncensored | Venice | ₽17.12/M | ₽77.04/M | ₽728 |
| Trinity Large Thinking | arcee ai | ₽18.83/M | ₽72.76/M | ₽740 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽21.40/M | ₽64.20/M | ₽749 |
| Mercury 2 | inception | ₽21.40/M | ₽64.20/M | ₽749 |
| qwen3 coder flash | qwen | ₽16.69/M | ₽83.46/M | ₽751 |
| Qwen Plus | qwen plus | ₽22.26/M | ₽66.77/M | ₽779 |
| qwen 2.5 72b instruct | qwen | ₽30.82/M | ₽34.24/M | ₽788 |
| Gemini 2.5 Flash (batch) | ₽12.84/M | ₽107/M | ₽792 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.84/M | ₽107/M | ₽792 | |
| qwen3.6 flash | qwen | ₽16.05/M | ₽96.30/M | ₽803 |
| minimax 01 | minimax | ₽17.12/M | ₽94.16/M | ₽813 |
| minimax m2.7 | minimax | ₽20.54/M | ₽82.18/M | ₽822 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽30.05/M | ₽47.51/M | ₽838 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.40/M | ₽85.60/M | ₽856 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.6 luna pro | openai | ₽17.12/M | ₽103/M | ₽856 |
| Nex-N2-Pro | nex agi | ₽21.40/M | ₽85.60/M | ₽856 |
| UnslopNemo 12B | thedrummer | ₽34.24/M | ₽34.24/M | ₽856 |
| minimax m2 | minimax | ₽21.83/M | ₽87.31/M | ₽873 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| deepseek v3.1 terminus | deepseek | ₽23.11/M | ₽85.60/M | ₽890 |
| Mk1 | perceptron | ₽12.84/M | ₽128/M | ₽899 |
| glm 4.6v | z ai | ₽25.68/M | ₽77.04/M | ₽899 |
| mistralai · codestral-2508 | mistralai | ₽25.68/M | ₽77.04/M | ₽899 |
| minimax m2.5 | minimax | ₽23.11/M | ₽92.45/M | ₽924 |
| qwen3 coder | qwen | ₽25.68/M | ₽85.60/M | ₽942 |
| Claude 3 Haiku | Anthropic | ₽21.40/M | ₽107/M | ₽963 |
| qwen3.5 35b a3b | qwen | ₽21.40/M | ₽107/M | ₽963 |
| qwen3.5 27b | qwen | ₽16.69/M | ₽134/M | ₽1 002 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.68/M | ₽103/M | ₽1 027 |
| LongCat 2.0 | meituan | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 her | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| MiniMax M3 (batch) | MiniMax | ₽25.68/M | ₽103/M | ₽1 027 |
| ReMM-SLERP-L2-13B | undi95 | ₽38.52/M | ₽55.64/M | ₽1 049 |
| Gemini 3 Flash Preview (batch) | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.7 plus | qwen | ₽27.39/M | ₽110/M | ₽1 096 |
| qwen3.5 plus | qwen3.5 plus | ₽22.26/M | ₽134/M | ₽1 113 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.98/M | ₽163/M | ₽1 173 |
| Weaver (alpha) | mancer | ₽42.80/M | ₽64.20/M | ₽1 177 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽35.95/M | ₽107/M | ₽1 254 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 | bytedance seed | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed-2.0-Lite | bytedance seed | ₽21.40/M | ₽171/M | ₽1 284 |
| Inkling Small | thinkingmachines | ₽38.52/M | ₽103/M | ₽1 284 |
| Skyfall 36B V2 | thedrummer | ₽47.08/M | ₽68.48/M | ₽1 284 |
| WizardLM-2 8x22B | microsoft | ₽53.07/M | ₽53.07/M | ₽1 327 |
| qwen3.5 122b a10b | qwen | ₽22.26/M | ₽178/M | ₽1 335 |
| deepseek v4 pro | deepseek | ₽45.04/M | ₽90.08/M | ₽1 351 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 235b a22b | qwen | ₽19.69/M | ₽197/M | ₽1 378 |
| gemma 2 27b it | ₽55.64/M | ₽55.64/M | ₽1 391 | |
| qwen3.6 plus | qwen | ₽27.82/M | ₽167/M | ₽1 391 |
| glm 4.7 | z ai | ₽34.24/M | ₽150/M | ₽1 434 |
| Llama 3.3 Euryale 70B | sao10k | ₽55.64/M | ₽64.20/M | ₽1 434 |
| Gemini 3.6 Flash (batch) | ₽32.10/M | ₽161/M | ₽1 445 | |
| gemini 3.7 flash | ₽32.10/M | ₽161/M | ₽1 445 | |
| Google Gemini Flash Latest | ₽32.10/M | ₽161/M | ₽1 445 | |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Hermes 3 70B Instruct | nousresearch | ₽59.92/M | ₽59.92/M | ₽1 498 |
| Large 3 2512 | mistralai | ₽42.80/M | ₽128/M | ₽1 498 |
| mistralai · mistral-medium-3 | mistralai | ₽34.24/M | ₽171/M | ₽1 541 |
| mistralai · mistral-medium-3.1 | mistralai | ₽34.24/M | ₽171/M | ₽1 541 |
| qwen 2.5 coder 32b instruct | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Nova 2 Lite | amazon | ₽25.68/M | ₽214/M | ₽1 584 |
| GPT-5.4 Mini (batch) | OpenAI | ₽32.10/M | ₽193/M | ₽1 605 |
| deepseek chat v3.1 | deepseek | ₽47.08/M | ₽141/M | ₽1 648 |
| deepseek r1 distill llama 70b | deepseek | ₽68.48/M | ₽68.48/M | ₽1 712 |
| glm 4.6 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| Kimi K2.5 | kimi k2.5 | ₽38.52/M | ₽193/M | ₽1 733 |
| DeepSeek R1 | deepseek r1 | ₽42.80/M | ₽184/M | ₽1 776 |
| Aion-3.0-Mini | AionLabs | ₽59.92/M | ₽120/M | ₽1 798 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| qwen2.5 vl 72b instruct | qwen | ₽68.48/M | ₽85.60/M | ₽1 798 |
| Virtuoso Large | arcee ai | ₽64.20/M | ₽103/M | ₽1 798 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽72.76/M | ₽72.76/M | ₽1 819 |
| GLM-5 | glm 5 | ₽51.36/M | ₽164/M | ₽1 849 |
| minimax m1 | minimax | ₽47.08/M | ₽188/M | ₽1 883 |
| morph · morph-v3-fast | morph | ₽68.48/M | ₽103/M | ₽1 883 |
| o3 Mini (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o3 Mini High (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o4 Mini (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o4 Mini High (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| qwen3.6 27b | qwen | ₽27.39/M | ₽274/M | ₽1 917 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽42.80/M | ₽214/M | ₽1 926 |
| Seed 2.1 Turbo | bytedance seed | ₽42.80/M | ₽214/M | ₽1 926 |
| Kimi K2 | kimi k2 | ₽48.79/M | ₽197/M | ₽1 960 |
| qwen3.8 27b | qwen | ₽34.24/M | ₽257/M | ₽1 969 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| Apply 3 | relace | ₽72.76/M | ₽107/M | ₽1 990 |
| Aion-2.0 | aion labs | ₽68.48/M | ₽137/M | ₽2 054 |
| Aion-RP 1.0 (8B) | aion labs | ₽68.48/M | ₽137/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| Hermes 3 405B Instruct | nousresearch | ₽85.60/M | ₽85.60/M | ₽2 140 |
| Seed 2.0 Code | bytedance seed | ₽42.80/M | ₽257/M | ₽2 140 |
| Sonar | perplexity | ₽85.60/M | ₽85.60/M | ₽2 140 |
| morph · morph-v3-large | morph | ₽77.04/M | ₽163/M | ₽2 354 |
| qwen3.5 397b a17b | qwen | ₽42.80/M | ₽308/M | ₽2 397 |
| qwen3 coder plus | qwen | ₽55.64/M | ₽278/M | ₽2 504 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽63.34/M | ₽253/M | ₽2 534 |
| Nemotron 3 Ultra | nvidia | ₽51.36/M | ₽308/M | ₽2 568 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| kimi k2.7 code | moonshotai | ₽57.35/M | ₽291/M | ₽2 602 |
| Nova Pro | amazon | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| glm 5.1 | z ai | ₽82.69/M | ₽260/M | ₽2 953 |
| glm 5.2 | z ai | ₽82.69/M | ₽260/M | ₽2 953 |
| Hermes 4 405B | nousresearch | ₽85.60/M | ₽257/M | ₽2 996 |
| Search | relace | ₽85.60/M | ₽257/M | ₽2 996 |
| Qwen3 Max | qwen3 max | ₽66.77/M | ₽334/M | ₽3 005 |
| Gemini 2.5 Pro (batch) | ₽53.50/M | ₽428/M | ₽3 210 | |
| Gemini 3.5 Flash (batch) | ₽64.20/M | ₽385/M | ₽3 210 | |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| GPT-5 (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5 Codex (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5.1 (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| grok 4.20 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.20 multi agent | x ai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| OpenAI GPT Mini Latest | ~openai | ₽64.20/M | ₽385/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽81.32/M | ₽342/M | ₽3 338 |
| Sakana Namazu | sakana | ₽81.32/M | ₽342/M | ₽3 338 |
| GPT-4.1 (batch) | OpenAI | ₽85.60/M | ₽342/M | ₽3 424 |
| o3 (batch) | OpenAI | ₽85.60/M | ₽342/M | ₽3 424 |
| Inkling | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| Inkling (batch) | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| Palmyra X5 | writer | ₽51.36/M | ₽514/M | ₽3 595 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| glm 5v turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| o3 mini high | openai | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| o4 mini high | openai | ₽94.16/M | ₽377/M | ₽3 766 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| Claude Sonnet 5 (batch) | Anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| GPT-5.6 Sol (batch) | OpenAI | ₽85.60/M | ₽428/M | ₽3 852 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽85.60/M | ₽428/M | ₽3 852 |
| Gemini 3.1 Pro Preview (batch) | ₽85.60/M | ₽514/M | ₽4 280 | |
| GLM 5.2 (batch) | Z.ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GLM Latest | Z.ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o (batch) | OpenAI | ₽107/M | ₽428/M | ₽4 280 |
| GPT-5.6 Terra (batch) | OpenAI | ₽85.60/M | ₽514/M | ₽4 280 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽85.60/M | ₽514/M | ₽4 280 |
| Qwen3.6 Max | qwen3.6 max | ₽87.91/M | ₽527/M | ₽4 396 |
| qwen3.7 max | qwen | ₽126/M | ₽379/M | ₽4 419 |
| GPT-5.2 (batch) | OpenAI | ₽74.90/M | ₽599/M | ₽4 494 |
| GPT-5.4 (batch) | OpenAI | ₽107/M | ₽642/M | ₽5 350 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽128/M | ₽642/M | ₽5 778 |
| mistralai · mistral-medium-3-5 | mistralai | ₽128/M | ₽642/M | ₽5 778 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Grok Latest | xAI | ₽171/M | ₽514/M | ₽5 992 |
| Mistral Large 2407 | Mistral large 2407 | ₽171/M | ₽514/M | ₽5 992 |
| mistralai · mistral-large | mistralai | ₽171/M | ₽514/M | ₽5 992 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex max | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽342/M | ₽6 848 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| sonar deep research | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| sonar reasoning pro | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| Magnum v4 72B | anthracite org | ₽257/M | ₽428/M | ₽7 276 |
| Aion-3.0 | AionLabs | ₽257/M | ₽514/M | ₽7 704 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽171/M | ₽856/M | ₽7 704 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol pro | openai | ₽171/M | ₽856/M | ₽7 704 |
| OpenAI GPT Latest | ~openai | ₽171/M | ₽856/M | ₽7 704 |
| Cohere Command A | cohere command a | ₽214/M | ₽856/M | ₽8 560 |
| Command R Plus | command r plus | ₽214/M | ₽856/M | ₽8 560 |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro preview customtools | ₽171/M | ₽1 027/M | ₽8 560 | |
| Google Gemini Pro Latest | ₽171/M | ₽1 027/M | ₽8 560 | |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra pro | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Claude Opus 4.5 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.8 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 5 (batch) | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Nova Premier 1.0 | amazon | ₽214/M | ₽1 070/M | ₽9 630 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽223/M | ₽1 113/M | ₽10 015 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| GPT-5.5 (batch) | OpenAI | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| sonar pro | perplexity | ₽257/M | ₽1 284/M | ₽11 556 |
| GPT-4 Turbo (batch) | OpenAI | ₽428/M | ₽1 284/M | ₽14 980 |
| Claude Fable 5 (batch) | Anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus Latest | Anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | sakana | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| GPT Chat | gpt chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| o1 (batch) | OpenAI | ₽642/M | ₽2 568/M | ₽25 680 |
| Claude Opus 4.1 (batch) | Anthropic | ₽642/M | ₽3 210/M | ₽28 890 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| o3 Pro (batch) | OpenAI | ₽856/M | ₽3 424/M | ₽34 240 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| Claude Fable Latest | Anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| GPT-5 Pro (batch) | OpenAI | ₽642/M | ₽5 136/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| GPT-5.2 Pro (batch) | OpenAI | ₽899/M | ₽7 190/M | ₽53 928 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 284/M | ₽7 704/M | ₽64 201 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 284/M | ₽7 704/M | ₽64 201 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| o1-pro (batch) | OpenAI | ₽6 420/M | ₽25 680/M | ₽256 802 |
| o1 pro | openai | ₽12 840/M | ₽51 360/M | ₽513 604 |
Текст и чат
оплата за токены · 365
▼
Текст и чат
оплата за токены · 365
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.34/M | ₽0.34/M | ₽7 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| bge-base-en-v1.5 | baai | ₽0.43/M | ₽0.43/M | ₽9 |
| E5-Base-v2 | Intfloat | ₽0.43/M | ₽0.43/M | ₽9 |
| GTE-Base | Thenlper | ₽0.43/M | ₽0.43/M | ₽9 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.43/M | ₽0.43/M | ₽9 |
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| bge-large-en-v1.5 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| E5-Large-v2 | Intfloat | ₽0.86/M | ₽0.86/M | ₽17 |
| GTE-Large | Thenlper | ₽0.86/M | ₽0.86/M | ₽17 |
| Multilingual-E5-Large | Intfloat | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.71/M | ₽1.71/M | ₽34 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| voyage-4-lite | VoyageAI by MongoDB | ₽1.71/M | ₽1.71/M | ₽34 |
| mistralai · mistral-nemo | mistralai | ₽1.63/M | ₽2.57/M | ₽45 |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.57/M | ₽2.57/M | ₽51 |
| Ling-3.0-flash | inclusionai | ₽1.80/M | ₽5.39/M | ₽63 |
| granite-4.0-h-micro | ibm granite | ₽1.46/M | ₽9.59/M | ₽77 |
| Nex-N2-Mini | nex agi | ₽2.14/M | ₽8.56/M | ₽86 |
| Llama 3 8B Lunaris | sao10k | ₽3.42/M | ₽4.28/M | ₽90 |
| Solar Pro 4 | upstage | ₽2.57/M | ₽10.27/M | ₽103 |
| deepseek v4 flash · latest | yandex | ₽3.42/M | ₽6.85/M | ₽103 |
| voyage-4 | VoyageAI by MongoDB | ₽5.14/M | ₽5.14/M | ₽103 |
| gpt oss 20b | openai | ₽2.57/M | ₽11.13/M | ₽107 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| Amazon Nova Micro | nova micro | ₽3.00/M | ₽11.98/M | ₽120 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.28/M | ₽6.85/M | ₽120 |
| Command R7B (12-2024) | cohere | ₽3.21/M | ₽12.84/M | ₽128 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.28/M | ₽8.56/M | ₽128 |
| GPT-5 Nano (batch) | OpenAI | ₽2.14/M | ₽17.12/M | ₽128 |
| Granite 4.1 8B | ibm granite | ₽4.28/M | ₽8.56/M | ₽128 |
| Mythomax L2 13B | Gryphe | ₽5.14/M | ₽5.14/M | ₽128 |
| gpt oss 120b | openai | ₽3.17/M | ₽14.55/M | ₽136 |
| deepseek v4 flash | deepseek | ₽4.91/M | ₽9.83/M | ₽147 |
| gemma 3 12b it | ₽4.28/M | ₽12.84/M | ₽150 | |
| Hy-MT2-1.8B | tencent | ₽3.77/M | ₽15.15/M | ₽151 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽5.14/M | ₽10.27/M | ₽154 |
| Laguna XS 2.1 | poolside | ₽5.14/M | ₽10.27/M | ₽154 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.12/M | ₽16.53/M | ₽165 |
| Gemini 2.5 Flash Lite (batch) | ₽4.28/M | ₽17.12/M | ₽171 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.28/M | ₽17.12/M | ₽171 |
| Mistral Embed 2312 | Mistral | ₽8.56/M | ₽8.56/M | ₽171 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Phi 4 | Microsoft | ₽5.99/M | ₽11.98/M | ₽180 |
| Nova Lite | amazon | ₽5.14/M | ₽20.54/M | ₽205 |
| voyage-4-large | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| voyage-code-4 | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽10.27/M | ₽10.27/M | ₽205 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.56/M | ₽8.56/M | ₽214 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽6.42/M | ₽17.12/M | ₽214 |
| Reka Edge | rekaai | ₽8.56/M | ₽8.56/M | ₽214 |
| Qwen3.5 Flash | alibaba | ₽5.56/M | ₽22.26/M | ₽223 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.85/M | ₽17.12/M | ₽223 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| Laguna S 2.1 | poolside | ₽7.70/M | ₽15.41/M | ₽231 |
| Ministral 8B | mistralai | ₽9.42/M | ₽9.42/M | ₽235 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.99/M | ₽23.97/M | ₽240 |
| Hy-MT2-30B-A3B | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Hy-MT2-7B | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Codestral Embed 2505 | Mistral | ₽12.84/M | ₽12.84/M | ₽257 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| gpt oss safeguard 20b | openai | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-4o-mini (batch) | OpenAI | ₽6.42/M | ₽25.68/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| qwen 2.5 7b instruct | qwen | ₽8.56/M | ₽17.12/M | ₽257 |
| qwen3 32b | qwen | ₽6.85/M | ₽23.97/M | ₽257 |
| Reka Flash 3 | rekaai | ₽8.56/M | ₽17.12/M | ₽257 |
| Seed 1.6 Flash | bytedance seed | ₽6.42/M | ₽25.68/M | ₽257 |
| UI-TARS 7B | ByteDance | ₽8.56/M | ₽17.12/M | ₽257 |
| gemma 4 26b a4b it | ₽5.99/M | ₽29.10/M | ₽265 | |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| Step 3.5 Flash | step 3.5 flash | ₽8.56/M | ₽25.68/M | ₽300 |
| Voxtral Small 24B 2507 | mistralai | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 14b | qwen | ₽10.27/M | ₽20.54/M | ₽308 |
| gemma 4 31b it | ₽8.56/M | ₽29.10/M | ₽317 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.28/M | ₽34.24/M | ₽317 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.84/M | ₽12.84/M | ₽321 |
| gemma 3 27b it | ₽6.85/M | ₽38.52/M | ₽330 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Seed-2.0-Mini | bytedance seed | ₽8.56/M | ₽34.24/M | ₽342 |
| qwen3 vl 32b instruct | qwen | ₽8.90/M | ₽35.61/M | ₽356 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| qwen3 235b a22b 2507 | qwen | ₽7.70/M | ₽47.08/M | ₽389 |
| Hermes 4 70B | nousresearch | ₽11.13/M | ₽34.24/M | ₽394 |
| qwen3 8b | qwen | ₽10.02/M | ₽38.95/M | ₽395 |
| qwen3 vl 8b instruct | qwen | ₽10.02/M | ₽38.95/M | ₽395 |
| qwen3 30b a3b | qwen | ₽10.27/M | ₽42.80/M | ₽419 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.56/M | ₽51.36/M | ₽428 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.56/M | ₽51.36/M | ₽428 |
| mistralai · ministral-14b-2512 | mistralai | ₽17.12/M | ₽17.12/M | ₽428 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.56/M | ₽53.50/M | ₽439 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽11.13/M | ₽44.51/M | ₽445 |
| Hy3 | hy3 | ₽11.30/M | ₽45.20/M | ₽452 |
| Olmo 3 32B Think | allenai | ₽12.84/M | ₽42.80/M | ₽471 |
| hunyuan a13b | hunyuan a13b | ₽11.98/M | ₽48.79/M | ₽484 |
| Command R | command r | ₽12.84/M | ₽51.36/M | ₽514 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.84/M | ₽51.36/M | ₽514 |
| Small 4 | mistralai | ₽12.84/M | ₽51.36/M | ₽514 |
| Solar Pro 3 | upstage | ₽12.84/M | ₽51.36/M | ₽514 |
| Gemini 3.1 Flash Lite (batch) | ₽10.70/M | ₽64.20/M | ₽535 | |
| qwen3 coder next | qwen | ₽10.27/M | ₽68.48/M | ₽548 |
| glm 4.5 air | z ai | ₽11.13/M | ₽72.76/M | ₽586 |
| mistralai · mistral-saba | mistralai | ₽17.12/M | ₽51.36/M | ₽599 |
| deepseek v3.2 | deepseek | ₽22.26/M | ₽32.53/M | ₽608 |
| GPT-5 Mini (batch) | OpenAI | ₽10.70/M | ₽85.60/M | ₽642 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽8.56/M | ₽94.16/M | ₽642 |
| Rocinante 12B | thedrummer | ₽21.40/M | ₽42.80/M | ₽642 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| qwen3.6 35b a3b | qwen | ₽11.98/M | ₽85.60/M | ₽668 |
| GPT-4.1 Mini (batch) | OpenAI | ₽17.12/M | ₽68.48/M | ₽685 |
| Gemini 3.7 Flash (batch) | ₽16.05/M | ₽80.25/M | ₽722 | |
| Cydonia 24B V4.1 | thedrummer | ₽25.68/M | ₽42.80/M | ₽728 |
| Uncensored | Venice | ₽17.12/M | ₽77.04/M | ₽728 |
| Trinity Large Thinking | arcee ai | ₽18.83/M | ₽72.76/M | ₽740 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽21.40/M | ₽64.20/M | ₽749 |
| Mercury 2 | inception | ₽21.40/M | ₽64.20/M | ₽749 |
| qwen3 coder flash | qwen | ₽16.69/M | ₽83.46/M | ₽751 |
| Qwen Plus | qwen plus | ₽22.26/M | ₽66.77/M | ₽779 |
| qwen 2.5 72b instruct | qwen | ₽30.82/M | ₽34.24/M | ₽788 |
| Gemini 2.5 Flash (batch) | ₽12.84/M | ₽107/M | ₽792 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.84/M | ₽107/M | ₽792 | |
| qwen3.6 flash | qwen | ₽16.05/M | ₽96.30/M | ₽803 |
| minimax 01 | minimax | ₽17.12/M | ₽94.16/M | ₽813 |
| minimax m2.7 | minimax | ₽20.54/M | ₽82.18/M | ₽822 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽30.05/M | ₽47.51/M | ₽838 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.40/M | ₽85.60/M | ₽856 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| gpt 5.6 luna pro | openai | ₽17.12/M | ₽103/M | ₽856 |
| Nex-N2-Pro | nex agi | ₽21.40/M | ₽85.60/M | ₽856 |
| UnslopNemo 12B | thedrummer | ₽34.24/M | ₽34.24/M | ₽856 |
| minimax m2 | minimax | ₽21.83/M | ₽87.31/M | ₽873 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| deepseek v3.1 terminus | deepseek | ₽23.11/M | ₽85.60/M | ₽890 |
| Mk1 | perceptron | ₽12.84/M | ₽128/M | ₽899 |
| glm 4.6v | z ai | ₽25.68/M | ₽77.04/M | ₽899 |
| mistralai · codestral-2508 | mistralai | ₽25.68/M | ₽77.04/M | ₽899 |
| minimax m2.5 | minimax | ₽23.11/M | ₽92.45/M | ₽924 |
| qwen3 coder | qwen | ₽25.68/M | ₽85.60/M | ₽942 |
| Claude 3 Haiku | Anthropic | ₽21.40/M | ₽107/M | ₽963 |
| qwen3.5 35b a3b | qwen | ₽21.40/M | ₽107/M | ₽963 |
| qwen3.5 27b | qwen | ₽16.69/M | ₽134/M | ₽1 002 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.68/M | ₽103/M | ₽1 027 |
| LongCat 2.0 | meituan | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 her | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| MiniMax M3 (batch) | MiniMax | ₽25.68/M | ₽103/M | ₽1 027 |
| ReMM-SLERP-L2-13B | undi95 | ₽38.52/M | ₽55.64/M | ₽1 049 |
| Gemini 3 Flash Preview (batch) | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.7 plus | qwen | ₽27.39/M | ₽110/M | ₽1 096 |
| qwen3.5 plus | qwen3.5 plus | ₽22.26/M | ₽134/M | ₽1 113 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.98/M | ₽163/M | ₽1 173 |
| Weaver (alpha) | mancer | ₽42.80/M | ₽64.20/M | ₽1 177 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽35.95/M | ₽107/M | ₽1 254 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 | bytedance seed | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed-2.0-Lite | bytedance seed | ₽21.40/M | ₽171/M | ₽1 284 |
| Inkling Small | thinkingmachines | ₽38.52/M | ₽103/M | ₽1 284 |
| Skyfall 36B V2 | thedrummer | ₽47.08/M | ₽68.48/M | ₽1 284 |
| WizardLM-2 8x22B | microsoft | ₽53.07/M | ₽53.07/M | ₽1 327 |
| qwen3.5 122b a10b | qwen | ₽22.26/M | ₽178/M | ₽1 335 |
| deepseek v4 pro | deepseek | ₽45.04/M | ₽90.08/M | ₽1 351 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 235b a22b | qwen | ₽19.69/M | ₽197/M | ₽1 378 |
| gemma 2 27b it | ₽55.64/M | ₽55.64/M | ₽1 391 | |
| qwen3.6 plus | qwen | ₽27.82/M | ₽167/M | ₽1 391 |
| glm 4.7 | z ai | ₽34.24/M | ₽150/M | ₽1 434 |
| Llama 3.3 Euryale 70B | sao10k | ₽55.64/M | ₽64.20/M | ₽1 434 |
| Gemini 3.6 Flash (batch) | ₽32.10/M | ₽161/M | ₽1 445 | |
| gemini 3.7 flash | ₽32.10/M | ₽161/M | ₽1 445 | |
| Google Gemini Flash Latest | ₽32.10/M | ₽161/M | ₽1 445 | |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Hermes 3 70B Instruct | nousresearch | ₽59.92/M | ₽59.92/M | ₽1 498 |
| Large 3 2512 | mistralai | ₽42.80/M | ₽128/M | ₽1 498 |
| mistralai · mistral-medium-3 | mistralai | ₽34.24/M | ₽171/M | ₽1 541 |
| mistralai · mistral-medium-3.1 | mistralai | ₽34.24/M | ₽171/M | ₽1 541 |
| qwen 2.5 coder 32b instruct | qwen | ₽56.50/M | ₽85.60/M | ₽1 558 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Nova 2 Lite | amazon | ₽25.68/M | ₽214/M | ₽1 584 |
| GPT-5.4 Mini (batch) | OpenAI | ₽32.10/M | ₽193/M | ₽1 605 |
| deepseek chat v3.1 | deepseek | ₽47.08/M | ₽141/M | ₽1 648 |
| deepseek r1 distill llama 70b | deepseek | ₽68.48/M | ₽68.48/M | ₽1 712 |
| glm 4.6 | z ai | ₽42.80/M | ₽171/M | ₽1 712 |
| Kimi K2.5 | kimi k2.5 | ₽38.52/M | ₽193/M | ₽1 733 |
| DeepSeek R1 | deepseek r1 | ₽42.80/M | ₽184/M | ₽1 776 |
| Aion-3.0-Mini | AionLabs | ₽59.92/M | ₽120/M | ₽1 798 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| qwen2.5 vl 72b instruct | qwen | ₽68.48/M | ₽85.60/M | ₽1 798 |
| Virtuoso Large | arcee ai | ₽64.20/M | ₽103/M | ₽1 798 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽72.76/M | ₽72.76/M | ₽1 819 |
| GLM-5 | glm 5 | ₽51.36/M | ₽164/M | ₽1 849 |
| minimax m1 | minimax | ₽47.08/M | ₽188/M | ₽1 883 |
| morph · morph-v3-fast | morph | ₽68.48/M | ₽103/M | ₽1 883 |
| o3 Mini (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o3 Mini High (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o4 Mini (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| o4 Mini High (batch) | OpenAI | ₽47.08/M | ₽188/M | ₽1 883 |
| qwen3.6 27b | qwen | ₽27.39/M | ₽274/M | ₽1 917 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽42.80/M | ₽214/M | ₽1 926 |
| Seed 2.1 Turbo | bytedance seed | ₽42.80/M | ₽214/M | ₽1 926 |
| Kimi K2 | kimi k2 | ₽48.79/M | ₽197/M | ₽1 960 |
| qwen3.8 27b | qwen | ₽34.24/M | ₽257/M | ₽1 969 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| Apply 3 | relace | ₽72.76/M | ₽107/M | ₽1 990 |
| Aion-2.0 | aion labs | ₽68.48/M | ₽137/M | ₽2 054 |
| Aion-RP 1.0 (8B) | aion labs | ₽68.48/M | ₽137/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| Hermes 3 405B Instruct | nousresearch | ₽85.60/M | ₽85.60/M | ₽2 140 |
| Seed 2.0 Code | bytedance seed | ₽42.80/M | ₽257/M | ₽2 140 |
| Sonar | perplexity | ₽85.60/M | ₽85.60/M | ₽2 140 |
| morph · morph-v3-large | morph | ₽77.04/M | ₽163/M | ₽2 354 |
| qwen3.5 397b a17b | qwen | ₽42.80/M | ₽308/M | ₽2 397 |
| qwen3 coder plus | qwen | ₽55.64/M | ₽278/M | ₽2 504 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽63.34/M | ₽253/M | ₽2 534 |
| Nemotron 3 Ultra | nvidia | ₽51.36/M | ₽308/M | ₽2 568 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| kimi k2.7 code | moonshotai | ₽57.35/M | ₽291/M | ₽2 602 |
| Nova Pro | amazon | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| glm 5.1 | z ai | ₽82.69/M | ₽260/M | ₽2 953 |
| glm 5.2 | z ai | ₽82.69/M | ₽260/M | ₽2 953 |
| Hermes 4 405B | nousresearch | ₽85.60/M | ₽257/M | ₽2 996 |
| Search | relace | ₽85.60/M | ₽257/M | ₽2 996 |
| Qwen3 Max | qwen3 max | ₽66.77/M | ₽334/M | ₽3 005 |
| Gemini 2.5 Pro (batch) | ₽53.50/M | ₽428/M | ₽3 210 | |
| Gemini 3.5 Flash (batch) | ₽64.20/M | ₽385/M | ₽3 210 | |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| GPT-5 (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5 Codex (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5.1 (batch) | OpenAI | ₽53.50/M | ₽428/M | ₽3 210 |
| grok 4.20 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.20 multi agent | x ai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| OpenAI GPT Mini Latest | ~openai | ₽64.20/M | ₽385/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽81.32/M | ₽342/M | ₽3 338 |
| Sakana Namazu | sakana | ₽81.32/M | ₽342/M | ₽3 338 |
| GPT-4.1 (batch) | OpenAI | ₽85.60/M | ₽342/M | ₽3 424 |
| o3 (batch) | OpenAI | ₽85.60/M | ₽342/M | ₽3 424 |
| Inkling | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| Inkling (batch) | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| Palmyra X5 | writer | ₽51.36/M | ₽514/M | ₽3 595 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| glm 5v turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| o3 mini high | openai | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| o4 mini high | openai | ₽94.16/M | ₽377/M | ₽3 766 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| Claude Sonnet 5 (batch) | Anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| GPT-5.6 Sol (batch) | OpenAI | ₽85.60/M | ₽428/M | ₽3 852 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽85.60/M | ₽428/M | ₽3 852 |
| Gemini 3.1 Pro Preview (batch) | ₽85.60/M | ₽514/M | ₽4 280 | |
| GLM 5.2 (batch) | Z.ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GLM Latest | Z.ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o (batch) | OpenAI | ₽107/M | ₽428/M | ₽4 280 |
| GPT-5.6 Terra (batch) | OpenAI | ₽85.60/M | ₽514/M | ₽4 280 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽85.60/M | ₽514/M | ₽4 280 |
| Qwen3.6 Max | qwen3.6 max | ₽87.91/M | ₽527/M | ₽4 396 |
| qwen3.7 max | qwen | ₽126/M | ₽379/M | ₽4 419 |
| GPT-5.2 (batch) | OpenAI | ₽74.90/M | ₽599/M | ₽4 494 |
| GPT-5.4 (batch) | OpenAI | ₽107/M | ₽642/M | ₽5 350 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽128/M | ₽642/M | ₽5 778 |
| mistralai · mistral-medium-3-5 | mistralai | ₽128/M | ₽642/M | ₽5 778 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Grok Latest | xAI | ₽171/M | ₽514/M | ₽5 992 |
| Mistral Large 2407 | Mistral large 2407 | ₽171/M | ₽514/M | ₽5 992 |
| mistralai · mistral-large | mistralai | ₽171/M | ₽514/M | ₽5 992 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex max | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| gpt 3.5 turbo 16k | openai | ₽257/M | ₽342/M | ₽6 848 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| sonar deep research | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| sonar reasoning pro | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| Magnum v4 72B | anthracite org | ₽257/M | ₽428/M | ₽7 276 |
| Aion-3.0 | AionLabs | ₽257/M | ₽514/M | ₽7 704 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽171/M | ₽856/M | ₽7 704 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol pro | openai | ₽171/M | ₽856/M | ₽7 704 |
| OpenAI GPT Latest | ~openai | ₽171/M | ₽856/M | ₽7 704 |
| Cohere Command A | cohere command a | ₽214/M | ₽856/M | ₽8 560 |
| Command R Plus | command r plus | ₽214/M | ₽856/M | ₽8 560 |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro preview customtools | ₽171/M | ₽1 027/M | ₽8 560 | |
| Google Gemini Pro Latest | ₽171/M | ₽1 027/M | ₽8 560 | |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra pro | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 chat | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Claude Opus 4.5 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.8 (batch) | Anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 5 (batch) | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| Nova Premier 1.0 | amazon | ₽214/M | ₽1 070/M | ₽9 630 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽223/M | ₽1 113/M | ₽10 015 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| GPT-5.5 (batch) | OpenAI | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| sonar pro | perplexity | ₽257/M | ₽1 284/M | ₽11 556 |
| GPT-4 Turbo (batch) | OpenAI | ₽428/M | ₽1 284/M | ₽14 980 |
| Claude Fable 5 (batch) | Anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus Latest | Anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | sakana | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| GPT Chat | gpt chat latest | ₽428/M | ₽2 568/M | ₽21 400 |
| o1 (batch) | OpenAI | ₽642/M | ₽2 568/M | ₽25 680 |
| Claude Opus 4.1 (batch) | Anthropic | ₽642/M | ₽3 210/M | ₽28 890 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| o3 Pro (batch) | OpenAI | ₽856/M | ₽3 424/M | ₽34 240 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| Claude Fable Latest | Anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| GPT-5 Pro (batch) | OpenAI | ₽642/M | ₽5 136/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| GPT-5.2 Pro (batch) | OpenAI | ₽899/M | ₽7 190/M | ₽53 928 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 284/M | ₽7 704/M | ₽64 201 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 284/M | ₽7 704/M | ₽64 201 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| o1-pro (batch) | OpenAI | ₽6 420/M | ₽25 680/M | ₽256 802 |
| o1 pro | openai | ₽12 840/M | ₽51 360/M | ₽513 604 |
Цена не сходится или нашли ошибку?
KodikRouter предлагает 365 моделей AI API. Средняя цена — ₽328/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.34/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 30.08.2026.