OpenRouter-каталог в рублях через один OpenAI-compatible ключ
- Моделей
- 340
- Средняя цена
- ₽402/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
Каталог ориентирован на OpenRouter-нейминг моделей
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 = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
338 моделей
Текст и чат
оплата за токены · 338
▼
Текст и чат
оплата за токены · 338
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.53/M | ₽0.53/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.53/M | ₽0.53/M | ₽11 |
| GTE-Base | Thenlper | ₽0.53/M | ₽0.53/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| Bge M3 | baai | ₽1.06/M | ₽1.06/M | ₽21 |
| bge-large-en-v1.5 | baai | ₽1.06/M | ₽1.06/M | ₽21 |
| E5-Large-v2 | Intfloat | ₽1.06/M | ₽1.06/M | ₽21 |
| GTE-Large | Thenlper | ₽1.06/M | ₽1.06/M | ₽21 |
| Multilingual-E5-Large | Intfloat | ₽1.06/M | ₽1.06/M | ₽21 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.06/M | ₽1.06/M | ₽21 |
| Ling-2.6-flash | inclusionai | ₽1.06/M | ₽3.18/M | ₽37 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.12/M | ₽2.12/M | ₽42 |
| text embedding 3 small | openai | ₽2.12/M | ₽2.12/M | ₽42 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.12/M | ₽2.12/M | ₽42 |
| mistralai · mistral-nemo | mistralai | ₽2.02/M | ₽3.18/M | ₽56 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.18/M | ₽3.18/M | ₽64 |
| granite-4.0-h-micro | ibm granite | ₽1.80/M | ₽11.86/M | ₽95 |
| Nex-N2-Mini | nex agi | ₽2.65/M | ₽10.59/M | ₽106 |
| Llama 3 8B Lunaris | sao10k | ₽4.24/M | ₽5.30/M | ₽111 |
| Solar Pro 4 | upstage | ₽3.18/M | ₽12.71/M | ₽127 |
| voyage-4 | VoyageAI by MongoDB | ₽6.36/M | ₽6.36/M | ₽127 |
| gpt oss 20b | openai | ₽3.18/M | ₽13.77/M | ₽132 |
| Qwen3.7 Flash | qwen3.7 flash | ₽3.18/M | ₽13.77/M | ₽132 |
| Amazon Nova Micro | nova micro | ₽3.71/M | ₽14.82/M | ₽148 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.30/M | ₽8.47/M | ₽148 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽5.30/M | ₽8.47/M | ₽148 |
| gpt oss 120b | openai | ₽3.18/M | ₽18.00/M | ₽154 |
| Command R7B (12-2024) | cohere | ₽3.97/M | ₽15.88/M | ₽159 |
| Gemma 3 4B It | gemma 3 4b it | ₽5.30/M | ₽10.59/M | ₽159 |
| Granite 4.1 8B | ibm granite | ₽5.30/M | ₽10.59/M | ₽159 |
| Mythomax L2 13B | Gryphe | ₽6.36/M | ₽6.36/M | ₽159 |
| llama 3.2 1b:free | meta llama | ₽2.86/M | ₽21.28/M | ₽164 |
| gemma 3 12b it | ₽5.30/M | ₽15.88/M | ₽185 | |
| gemma 3n e4b it | ₽6.36/M | ₽12.71/M | ₽191 | |
| Laguna XS 2.1 | poolside | ₽6.36/M | ₽12.71/M | ₽191 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.10/M | ₽20.44/M | ₽204 |
| Mistral Embed 2312 | Mistral | ₽10.59/M | ₽10.59/M | ₽212 |
| Text Embedding ADA | text embedding ada | ₽10.59/M | ₽10.59/M | ₽212 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.30/M | ₽21.17/M | ₽212 |
| Phi 4 | Microsoft | ₽7.41/M | ₽14.82/M | ₽222 |
| Hy3 | hy3 | ₽6.67/M | ₽22.23/M | ₽245 |
| voyage-4-large | VoyageAI by MongoDB | ₽12.71/M | ₽12.71/M | ₽254 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽12.71/M | ₽12.71/M | ₽254 |
| Nova Lite | amazon | ₽6.36/M | ₽25.41/M | ₽254 |
| deepseek v4 flash | deepseek | ₽8.47/M | ₽19.06/M | ₽265 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.59/M | ₽10.59/M | ₽265 |
| Reka Edge | rekaai | ₽10.59/M | ₽10.59/M | ₽265 |
| text embedding 3 large | openai | ₽13.77/M | ₽13.77/M | ₽275 |
| Qwen3.5 Flash | alibaba | ₽6.89/M | ₽27.53/M | ₽275 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.30/M | ₽34.94/M | ₽281 |
| Laguna S 2.1 | Poolside | ₽9.53/M | ₽19.06/M | ₽286 |
| qwen3.5 9b | qwen | ₽10.59/M | ₽15.88/M | ₽291 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.41/M | ₽29.64/M | ₽296 |
| deepseek v4 flash · latest | yandex | ₽8.47/M | ₽26.68/M | ₽303 |
| Codestral Embed 2505 | Mistral | ₽15.88/M | ₽15.88/M | ₽318 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽15.88/M | ₽15.88/M | ₽318 |
| gpt oss safeguard 20b | openai | ₽7.94/M | ₽31.76/M | ₽318 |
| qwen3 32b | qwen | ₽8.47/M | ₽29.64/M | ₽318 |
| Seed 1.6 Flash | bytedance seed | ₽7.94/M | ₽31.76/M | ₽318 |
| qwen 2.5 7b instruct | qwen | ₽10.59/M | ₽21.17/M | ₽318 |
| Reka Flash 3 | rekaai | ₽10.59/M | ₽21.17/M | ₽318 |
| UI-TARS 7B | ByteDance | ₽10.59/M | ₽21.17/M | ₽318 |
| GPT-5 Nano | gpt 5 nano | ₽5.30/M | ₽42.34/M | ₽318 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽9.93/M | ₽26.47/M | ₽331 |
| glm 4.7 flash | z ai | ₽6.36/M | ₽42.34/M | ₽339 |
| Nemotron 3.5 Lightning | NVIDIA | ₽10.59/M | ₽26.47/M | ₽344 |
| Llama 4 Scout | llama 4 scout | ₽10.59/M | ₽31.76/M | ₽371 |
| Step 3.5 Flash | step 3.5 flash | ₽10.59/M | ₽31.76/M | ₽371 |
| Voxtral Small 24B 2507 | mistralai | ₽10.59/M | ₽31.76/M | ₽371 |
| Llama 3.3 70B | llama 3.3 70b | ₽10.59/M | ₽33.88/M | ₽381 |
| qwen3 14b | qwen | ₽12.71/M | ₽25.41/M | ₽381 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽9.00/M | ₽42.34/M | ₽392 |
| gemma 4 31b it | ₽10.59/M | ₽35.99/M | ₽392 | |
| mistralai · ministral-8b-2512 | mistralai | ₽15.88/M | ₽15.88/M | ₽397 |
| gemma 3 27b it | ₽8.47/M | ₽47.64/M | ₽408 | |
| Gemini Embedding 2 | gemini embedding 2 | ₽21.17/M | ₽21.17/M | ₽423 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.59/M | ₽42.34/M | ₽424 |
| gpt 4.1 nano | openai | ₽10.59/M | ₽42.34/M | ₽424 |
| Seed-2.0-Mini | bytedance seed | ₽10.59/M | ₽42.34/M | ₽424 |
| qwen3 vl 32b instruct | qwen | ₽11.01/M | ₽44.04/M | ₽440 |
| mimo v2.5 | mimo v2.5 | ₽14.82/M | ₽29.64/M | ₽445 |
| gemma 4 26b a4b it | ₽12.71/M | ₽42.34/M | ₽466 | |
| llama guard 4 12b | meta llama | ₽19.06/M | ₽19.06/M | ₽477 |
| qwen3 235b a22b 2507 | qwen | ₽9.53/M | ₽58.22/M | ₽482 |
| Hermes 4 70B | nousresearch | ₽13.77/M | ₽42.34/M | ₽487 |
| qwen3 8b | qwen | ₽12.39/M | ₽48.17/M | ₽489 |
| qwen3 vl 8b instruct | qwen | ₽12.39/M | ₽48.17/M | ₽489 |
| Ling-2.6-1T | inclusionai | ₽7.94/M | ₽66.16/M | ₽490 |
| Ring-2.6-1T | inclusionai | ₽7.94/M | ₽66.16/M | ₽490 |
| qwen3 30b a3b | qwen | ₽12.71/M | ₽52.93/M | ₽519 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.17/M | ₽21.17/M | ₽529 |
| gpt 5.6 luna | openai | ₽10.59/M | ₽63.51/M | ₽529 |
| gpt 5.6 luna pro | openai | ₽10.59/M | ₽63.51/M | ₽529 |
| GPT-5.6 Luna (batch) | OpenAI | ₽10.59/M | ₽63.51/M | ₽529 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽10.59/M | ₽63.51/M | ₽529 |
| Olmo 3 32B Think | allenai | ₽15.88/M | ₽52.93/M | ₽582 |
| hunyuan a13b | hunyuan a13b | ₽14.82/M | ₽60.34/M | ₽598 |
| Command R | command r | ₽15.88/M | ₽63.51/M | ₽635 |
| GPT-4o Mini | gpt 4o mini | ₽15.88/M | ₽63.51/M | ₽635 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽15.88/M | ₽63.51/M | ₽635 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽15.88/M | ₽63.51/M | ₽635 |
| Small 4 | mistralai | ₽15.88/M | ₽63.51/M | ₽635 |
| Solar Pro 3 | upstage | ₽15.88/M | ₽63.51/M | ₽635 |
| qwen3 coder next | qwen | ₽12.71/M | ₽84.68/M | ₽678 |
| glm 4.5 air | z ai | ₽13.77/M | ₽89.98/M | ₽725 |
| mistralai · mistral-saba | mistralai | ₽21.17/M | ₽63.51/M | ₽741 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽9.53/M | ₽116/M | ₽773 |
| deepseek v3.2 | deepseek | ₽28.48/M | ₽42.34/M | ₽781 |
| Llama 4 Maverick | llama 4 maverick | ₽21.17/M | ₽73.68/M | ₽792 |
| Rocinante 12B | thedrummer | ₽26.47/M | ₽52.93/M | ₽794 |
| qwen3.6 35b a3b | qwen | ₽15.88/M | ₽106/M | ₽847 |
| Uncensored | Venice | ₽21.17/M | ₽95.27/M | ₽900 |
| Cydonia 24B V4.1 | thedrummer | ₽31.76/M | ₽52.93/M | ₽900 |
| Trinity Large Preview | Arcee AI | ₽23.29/M | ₽89.98/M | ₽916 |
| Mercury 2 | inception | ₽26.47/M | ₽79.39/M | ₽926 |
| qwen2.5 vl 72b instruct | qwen | ₽26.47/M | ₽79.39/M | ₽926 |
| qwen3 coder flash | qwen | ₽20.65/M | ₽103/M | ₽929 |
| minimax m2.5 | minimax | ₽23.29/M | ₽95.27/M | ₽942 |
| Qwen Plus | qwen plus | ₽27.53/M | ₽82.57/M | ₽963 |
| qwen 2.5 72b instruct | qwen | ₽38.11/M | ₽42.34/M | ₽974 |
| qwen3.6 flash | qwen | ₽19.85/M | ₽119/M | ₽992 |
| minimax 01 | minimax | ₽21.17/M | ₽116/M | ₽1 006 |
| Step 3.7 Flash | step 3.7 flash | ₽21.17/M | ₽122/M | ₽1 032 |
| deepseek chat v3.1 | deepseek | ₽26.47/M | ₽101/M | ₽1 032 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽37.16/M | ₽58.75/M | ₽1 037 |
| llama 3.1 70b | llama 3.1 70b | ₽42.34/M | ₽42.34/M | ₽1 059 |
| UnslopNemo 12B | thedrummer | ₽42.34/M | ₽42.34/M | ₽1 059 |
| Nex-N2-Pro | nex agi | ₽26.47/M | ₽106/M | ₽1 059 |
| deepseek v3.1 terminus | deepseek | ₽28.58/M | ₽101/M | ₽1 074 |
| minimax m2 | minimax | ₽27.00/M | ₽108/M | ₽1 080 |
| gpt 5.4 nano | openai | ₽21.17/M | ₽132/M | ₽1 085 |
| DeepSeek Chat (V3) | deepseek chat | ₽27.25/M | ₽109/M | ₽1 089 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽27.53/M | ₽110/M | ₽1 101 |
| Mk1 | perceptron | ₽15.88/M | ₽159/M | ₽1 112 |
| glm 4.6v | z ai | ₽31.76/M | ₽95.27/M | ₽1 112 |
| mistralai · codestral-2508 | mistralai | ₽31.76/M | ₽95.27/M | ₽1 112 |
| qwen3 coder | qwen | ₽31.76/M | ₽106/M | ₽1 164 |
| Claude 3 Haiku | Anthropic | ₽26.47/M | ₽132/M | ₽1 191 |
| qwen3.5 35b a3b | qwen | ₽26.47/M | ₽132/M | ₽1 191 |
| qwen3.5 27b | qwen | ₽20.65/M | ₽165/M | ₽1 239 |
| KAT-Coder-Pro V1 | kwaipilot | ₽31.76/M | ₽127/M | ₽1 270 |
| LongCat 2.0 | meituan | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2 her | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2.1 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2.7 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m3 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| ReMM-SLERP-L2-13B | undi95 | ₽47.64/M | ₽68.81/M | ₽1 297 |
| gemini 3.1 flash lite | ₽26.47/M | ₽159/M | ₽1 323 | |
| gemini 3.1 flash lite image | ₽26.47/M | ₽159/M | ₽1 323 | |
| qwen3.7 plus | qwen | ₽33.88/M | ₽135/M | ₽1 355 |
| qwen3.5 plus | qwen3.5 plus | ₽27.53/M | ₽165/M | ₽1 376 |
| deepseek v4 pro | deepseek | ₽46.05/M | ₽92.09/M | ₽1 381 |
| mimo v2.5 pro | mimo v2.5 pro | ₽46.05/M | ₽92.09/M | ₽1 381 |
| Weaver (alpha) | mancer | ₽52.93/M | ₽79.39/M | ₽1 456 |
| Muse Glimmer 30B | Meta | ₽37.05/M | ₽159/M | ₽1 535 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽44.46/M | ₽132/M | ₽1 551 |
| Skyfall 36B V2 | thedrummer | ₽58.22/M | ₽84.68/M | ₽1 588 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽31.76/M | ₽191/M | ₽1 588 |
| gpt 5.1 codex mini | openai | ₽26.47/M | ₽212/M | ₽1 588 |
| GPT-5 Mini | gpt 5 mini | ₽26.47/M | ₽212/M | ₽1 588 |
| Seed 1.6 | bytedance seed | ₽26.47/M | ₽212/M | ₽1 588 |
| Seed-2.0-Lite | bytedance seed | ₽26.47/M | ₽212/M | ₽1 588 |
| Inkling Small | Thinking Machines | ₽47.64/M | ₽127/M | ₽1 588 |
| WizardLM-2 8x22B | microsoft | ₽65.63/M | ₽65.63/M | ₽1 641 |
| gpt 4.1 mini | openai | ₽42.34/M | ₽169/M | ₽1 694 |
| qwen3.6 plus | qwen | ₽34.41/M | ₽206/M | ₽1 720 |
| gemma 2 27b it | ₽68.81/M | ₽68.81/M | ₽1 720 | |
| glm 4.7 | z ai | ₽42.34/M | ₽185/M | ₽1 773 |
| Llama 3.3 Euryale 70B | sao10k | ₽68.81/M | ₽79.39/M | ₽1 773 |
| gpt 3.5 turbo | openai | ₽52.93/M | ₽159/M | ₽1 852 |
| Large 3 2512 | mistralai | ₽52.93/M | ₽159/M | ₽1 852 |
| Hermes 3 70B Instruct | nousresearch | ₽74.10/M | ₽74.10/M | ₽1 853 |
| qwen3.5 122b a10b | qwen | ₽30.70/M | ₽254/M | ₽1 884 |
| mistralai · mistral-medium-3 | mistralai | ₽42.34/M | ₽212/M | ₽1 905 |
| mistralai · mistral-medium-3.1 | mistralai | ₽42.34/M | ₽212/M | ₽1 905 |
| qwen 2.5 coder 32b instruct | qwen | ₽69.87/M | ₽106/M | ₽1 927 |
| qwen3 235b a22b | qwen | ₽48.17/M | ₽193/M | ₽1 927 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽31.76/M | ₽265/M | ₽1 958 |
| gemini 2.5 flash image | ₽31.76/M | ₽265/M | ₽1 958 | |
| gemini 3.5 flash lite | ₽31.76/M | ₽265/M | ₽1 958 | |
| Nova 2 Lite | amazon | ₽31.76/M | ₽265/M | ₽1 958 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽50.28/M | ₽212/M | ₽2 064 |
| deepseek r1 distill llama 70b | deepseek | ₽84.68/M | ₽84.68/M | ₽2 117 |
| glm 4.6 | z ai | ₽52.93/M | ₽212/M | ₽2 117 |
| Inkling (batch) | Thinking Machines | ₽52.93/M | ₽214/M | ₽2 130 |
| DeepSeek R1 | deepseek r1 | ₽52.93/M | ₽228/M | ₽2 197 |
| glm 4.5v | z ai | ₽63.51/M | ₽191/M | ₽2 223 |
| Virtuoso Large | arcee ai | ₽79.39/M | ₽127/M | ₽2 223 |
| Aion-3.0-Mini | AionLabs | ₽74.10/M | ₽148/M | ₽2 223 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽89.98/M | ₽89.98/M | ₽2 250 |
| morph · morph-v3-fast | morph | ₽84.68/M | ₽127/M | ₽2 329 |
| minimax m1 | minimax | ₽58.22/M | ₽233/M | ₽2 329 |
| o3 Mini (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o3 Mini High (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o4 Mini (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o4 Mini High (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| Seed 2.1 Turbo | ByteDance Seed | ₽52.93/M | ₽265/M | ₽2 382 |
| Kimi K2 | kimi k2 | ₽60.34/M | ₽243/M | ₽2 424 |
| glm 4.5 | z ai | ₽63.51/M | ₽233/M | ₽2 435 |
| Apply 3 | relace | ₽89.98/M | ₽132/M | ₽2 461 |
| gpt audio mini | openai | ₽63.51/M | ₽254/M | ₽2 540 |
| Aion-2.0 | aion labs | ₽84.68/M | ₽169/M | ₽2 540 |
| Aion-RP 1.0 (8B) | aion labs | ₽84.68/M | ₽169/M | ₽2 540 |
| qwen3.5 397b a17b | qwen | ₽47.64/M | ₽318/M -17% вывод | ₽2 541 |
| Hermes 3 405B Instruct | nousresearch | ₽106/M | ₽106/M | ₽2 646 |
| Sonar | perplexity | ₽106/M | ₽106/M | ₽2 646 |
| Gemini 3 Flash | gemini 3 flash | ₽52.93/M | ₽318/M | ₽2 646 |
| gemini 3.1 flash image | ₽52.93/M | ₽318/M | ₽2 646 | |
| Seed-2.0-Code | ByteDance Seed | ₽52.93/M | ₽318/M | ₽2 646 |
| GLM 5.2 (batch) | Z.ai | ₽74.10/M | ₽233/M | ₽2 646 |
| Kimi K2.5 | kimi k2.5 | ₽60.34/M | ₽302/M | ₽2 715 |
| glm 5.2 | z ai | ₽52.93/M | ₽333/M | ₽2 726 |
| morph · morph-v3-large | morph | ₽95.27/M | ₽201/M | ₽2 911 |
| qwen3 coder plus | qwen | ₽68.81/M | ₽344/M | ₽3 096 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽78.33/M | ₽313/M | ₽3 133 |
| grok build 0.1 | x ai | ₽106/M | ₽212/M | ₽3 176 |
| Nemotron 3 Ultra | nvidia | ₽63.51/M | ₽381/M | ₽3 176 |
| qwen3.6 27b | qwen | ₽63.51/M | ₽381/M | ₽3 176 |
| kimi k2.7 code | moonshotai | ₽70.92/M | ₽360/M | ₽3 218 |
| Cogito v2.1 671B | deepcogito | ₽132/M | ₽132/M | ₽3 308 |
| GLM-5 | glm 5 | ₽101/M | ₽270/M | ₽3 361 |
| Nova Pro | amazon | ₽84.68/M | ₽339/M | ₽3 387 |
| Hermes 4 405B | nousresearch | ₽106/M | ₽318/M | ₽3 705 |
| Search | relace | ₽106/M | ₽318/M | ₽3 705 |
| Qwen3 Max | qwen3 max | ₽82.57/M | ₽413/M | ₽3 715 |
| GPT-5 Codex (batch) | OpenAI | ₽66.16/M | ₽529/M | ₽3 969 |
| gpt 5.4 mini | openai | ₽79.39/M | ₽476/M | ₽3 969 |
| OpenAI GPT Mini Latest | ~openai | ₽79.39/M | ₽476/M | ₽3 969 |
| grok 4.20 | x ai | ₽132/M | ₽265/M | ₽3 970 |
| grok 4.20 multi agent | x ai | ₽132/M | ₽265/M | ₽3 970 |
| grok 4.3 | x ai | ₽132/M | ₽265/M | ₽3 970 |
| kimi k2.6 | moonshotai | ₽101/M | ₽423/M | ₽4 128 |
| Sakana Namazu | Sakana | ₽101/M | ₽423/M | ₽4 128 |
| Inkling | Thinking Machines | ₽101/M | ₽429/M | ₽4 155 |
| o3 (batch) | OpenAI | ₽106/M | ₽423/M | ₽4 234 |
| Palmyra X5 | writer | ₽63.51/M | ₽635/M | ₽4 446 |
| glm 5 turbo | z ai | ₽127/M | ₽423/M | ₽4 657 |
| glm 5v turbo | z ai | ₽127/M | ₽423/M | ₽4 657 |
| O3 Mini | o3 mini | ₽116/M | ₽466/M | ₽4 658 |
| o3 mini high | openai | ₽116/M | ₽466/M | ₽4 658 |
| O4 Mini | o4 mini | ₽116/M | ₽466/M | ₽4 658 |
| o4 mini high | openai | ₽116/M | ₽466/M | ₽4 658 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽106/M | ₽529/M | ₽4 763 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽106/M | ₽529/M | ₽4 763 |
| Muse Spark 1.1 | muse spark 1.1 | ₽132/M | ₽450/M | ₽4 896 |
| Muse Spark 1.2 | muse spark 1.2 | ₽132/M | ₽450/M | ₽4 896 |
| glm 5.1 | z ai | ₽148/M | ₽466/M | ₽5 293 |
| gpt 5.6 terra | openai | ₽106/M | ₽635/M | ₽5 293 |
| gpt 5.6 terra pro | openai | ₽106/M | ₽635/M | ₽5 293 |
| GPT-5.6 Terra (batch) | OpenAI | ₽106/M | ₽635/M | ₽5 293 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽106/M | ₽635/M | ₽5 293 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽652/M | ₽5 435 |
| qwen3.7 max | qwen | ₽156/M | ₽468/M | ₽5 465 |
| gpt 5 image mini | openai | ₽265/M | ₽212/M | ₽6 351 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽159/M | ₽794/M | ₽7 145 |
| gemini 3.6 flash | ₽159/M | ₽794/M | ₽7 145 | |
| Google Gemini Flash Latest | ₽159/M | ₽794/M | ₽7 145 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽159/M | ₽794/M | ₽7 145 |
| grok 4.5 | x ai | ₽212/M | ₽635/M | ₽7 410 |
| grok 4.6 | grok 4.6 | ₽212/M | ₽635/M | ₽7 410 |
| Grok Latest | xAI | ₽212/M | ₽635/M | ₽7 410 |
| Mistral Large 2407 | Mistral large 2407 | ₽212/M | ₽635/M | ₽7 410 |
| mistralai · mistral-large | mistralai | ₽212/M | ₽635/M | ₽7 410 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽212/M | ₽635/M | ₽7 410 |
| Qwen 3.8 Max | alibaba | ₽212/M | ₽635/M | ₽7 410 |
| Qwen3.8 2.4T A95B | Qwen | ₽212/M | ₽635/M | ₽7 410 |
| gemini 3.5 flash | ₽159/M | ₽953/M | ₽7 939 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 codex | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 codex max | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| GPT-5 | gpt 5 | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 3.5 turbo 16k | openai | ₽318/M | ₽423/M | ₽8 468 |
| gpt 4.1 | openai | ₽212/M | ₽847/M | ₽8 468 |
| Jamba Large 1.7 | ai21 | ₽212/M | ₽847/M | ₽8 468 |
| O3 | o3 | ₽212/M | ₽847/M | ₽8 468 |
| sonar deep research | perplexity | ₽212/M | ₽847/M | ₽8 468 |
| sonar reasoning pro | perplexity | ₽212/M | ₽847/M | ₽8 468 |
| Magnum v4 72B | anthracite org | ₽318/M | ₽529/M | ₽8 997 |
| Aion-3.0 | AionLabs | ₽318/M | ₽635/M | ₽9 527 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽212/M | ₽1 059/M | ₽9 527 |
| claude sonnet 5 | anthropic | ₽212/M | ₽1 059/M | ₽9 527 |
| gemini 3 pro image | ₽212/M | ₽1 270/M | ₽10 585 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽212/M | ₽1 270/M | ₽10 585 |
| gemini 3.1 pro preview customtools | ₽212/M | ₽1 270/M | ₽10 585 | |
| Google Gemini Pro Latest | ₽212/M | ₽1 270/M | ₽10 585 | |
| Cohere Command A | cohere command a | ₽265/M | ₽1 059/M | ₽10 585 |
| Command R Plus | command r plus | ₽265/M | ₽1 059/M | ₽10 585 |
| gpt audio | openai | ₽265/M | ₽1 059/M | ₽10 585 |
| GPT-4o | gpt 4o | ₽265/M | ₽1 059/M | ₽10 585 |
| gpt 5.2 | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.2 chat | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.2 codex | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.3 codex | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| Nova Premier 1.0 | amazon | ₽265/M | ₽1 323/M | ₽11 908 |
| gpt 5.4 | openai | ₽265/M | ₽1 588/M | ₽13 231 |
| GPT-5.6 Sol (batch) | OpenAI | ₽265/M | ₽1 588/M | ₽13 231 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽265/M | ₽1 588/M | ₽13 231 |
| Claude Sonnet 4 | claude sonnet 4 | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽318/M | ₽1 588/M | ₽14 290 |
| kimi k3 | moonshotai | ₽318/M | ₽1 588/M | ₽14 290 |
| sonar pro | perplexity | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Opus 4.5 | claude opus 4 5 | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus 4.6 | claude opus 4 6 | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus 4.7 | claude opus 4 7 | ₽529/M | ₽2 646/M | ₽23 816 |
| claude opus 4.8 | anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| claude opus 5 | anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus Latest | Anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| GPT-5.4 Image 2 | openai | ₽847/M | ₽1 588/M | ₽24 875 |
| Fugu Ultra | sakana | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.5 | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.6 sol | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.6 sol pro | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| GPT Chat | gpt chat latest | ₽529/M | ₽3 176/M | ₽26 462 |
| OpenAI GPT Latest | ~openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5 image | openai | ₽1 059/M | ₽1 059/M | ₽26 463 |
| o1 (batch) | OpenAI | ₽794/M | ₽3 176/M | ₽31 755 |
| gpt 4 turbo | openai | ₽1 059/M | ₽3 176/M | ₽37 048 |
| o3 Pro (batch) | OpenAI | ₽1 059/M | ₽4 234/M | ₽42 340 |
| claude fable 5 | anthropic | ₽1 059/M | ₽5 293/M | ₽47 633 |
| Claude Fable Latest | Anthropic | ₽1 059/M | ₽5 293/M | ₽47 633 |
| GPT-5 Pro (batch) | OpenAI | ₽794/M | ₽6 351/M | ₽47 633 |
| O1 | o1 | ₽1 588/M | ₽6 351/M | ₽63 510 |
| Claude Opus 4 | claude opus 4 | ₽1 588/M | ₽7 939/M | ₽71 449 |
| o3 pro | openai | ₽2 117/M | ₽8 468/M | ₽84 680 |
| gpt 5 pro | openai | ₽1 588/M | ₽12 702/M | ₽95 265 |
| gpt 4 | openai | ₽3 176/M | ₽6 351/M | ₽95 265 |
| gpt 5.2 pro | openai | ₽2 223/M | ₽17 783/M | ₽133 371 |
| gpt 5.4 pro | openai | ₽3 176/M | ₽19 053/M | ₽158 775 |
| gpt 5.5 pro | openai | ₽3 176/M | ₽19 053/M | ₽158 775 |
| o1-pro (batch) | OpenAI | ₽7 939/M | ₽31 755/M | ₽317 550 |
| o1 pro | openai | ₽15 878/M | ₽63 510/M | ₽635 100 |
Текст и чат
оплата за токены · 338
▼
Текст и чат
оплата за токены · 338
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.53/M | ₽0.53/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.53/M | ₽0.53/M | ₽11 |
| GTE-Base | Thenlper | ₽0.53/M | ₽0.53/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.53/M | ₽0.53/M | ₽11 |
| Bge M3 | baai | ₽1.06/M | ₽1.06/M | ₽21 |
| bge-large-en-v1.5 | baai | ₽1.06/M | ₽1.06/M | ₽21 |
| E5-Large-v2 | Intfloat | ₽1.06/M | ₽1.06/M | ₽21 |
| GTE-Large | Thenlper | ₽1.06/M | ₽1.06/M | ₽21 |
| Multilingual-E5-Large | Intfloat | ₽1.06/M | ₽1.06/M | ₽21 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.06/M | ₽1.06/M | ₽21 |
| Ling-2.6-flash | inclusionai | ₽1.06/M | ₽3.18/M | ₽37 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.12/M | ₽2.12/M | ₽42 |
| text embedding 3 small | openai | ₽2.12/M | ₽2.12/M | ₽42 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.12/M | ₽2.12/M | ₽42 |
| mistralai · mistral-nemo | mistralai | ₽2.02/M | ₽3.18/M | ₽56 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.18/M | ₽3.18/M | ₽64 |
| granite-4.0-h-micro | ibm granite | ₽1.80/M | ₽11.86/M | ₽95 |
| Nex-N2-Mini | nex agi | ₽2.65/M | ₽10.59/M | ₽106 |
| Llama 3 8B Lunaris | sao10k | ₽4.24/M | ₽5.30/M | ₽111 |
| Solar Pro 4 | upstage | ₽3.18/M | ₽12.71/M | ₽127 |
| voyage-4 | VoyageAI by MongoDB | ₽6.36/M | ₽6.36/M | ₽127 |
| gpt oss 20b | openai | ₽3.18/M | ₽13.77/M | ₽132 |
| Qwen3.7 Flash | qwen3.7 flash | ₽3.18/M | ₽13.77/M | ₽132 |
| Amazon Nova Micro | nova micro | ₽3.71/M | ₽14.82/M | ₽148 |
| Llama 3.1 8B | llama 3.1 8b | ₽5.30/M | ₽8.47/M | ₽148 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽5.30/M | ₽8.47/M | ₽148 |
| gpt oss 120b | openai | ₽3.18/M | ₽18.00/M | ₽154 |
| Command R7B (12-2024) | cohere | ₽3.97/M | ₽15.88/M | ₽159 |
| Gemma 3 4B It | gemma 3 4b it | ₽5.30/M | ₽10.59/M | ₽159 |
| Granite 4.1 8B | ibm granite | ₽5.30/M | ₽10.59/M | ₽159 |
| Mythomax L2 13B | Gryphe | ₽6.36/M | ₽6.36/M | ₽159 |
| llama 3.2 1b:free | meta llama | ₽2.86/M | ₽21.28/M | ₽164 |
| gemma 3 12b it | ₽5.30/M | ₽15.88/M | ₽185 | |
| gemma 3n e4b it | ₽6.36/M | ₽12.71/M | ₽191 | |
| Laguna XS 2.1 | poolside | ₽6.36/M | ₽12.71/M | ₽191 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.10/M | ₽20.44/M | ₽204 |
| Mistral Embed 2312 | Mistral | ₽10.59/M | ₽10.59/M | ₽212 |
| Text Embedding ADA | text embedding ada | ₽10.59/M | ₽10.59/M | ₽212 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.30/M | ₽21.17/M | ₽212 |
| Phi 4 | Microsoft | ₽7.41/M | ₽14.82/M | ₽222 |
| Hy3 | hy3 | ₽6.67/M | ₽22.23/M | ₽245 |
| voyage-4-large | VoyageAI by MongoDB | ₽12.71/M | ₽12.71/M | ₽254 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽12.71/M | ₽12.71/M | ₽254 |
| Nova Lite | amazon | ₽6.36/M | ₽25.41/M | ₽254 |
| deepseek v4 flash | deepseek | ₽8.47/M | ₽19.06/M | ₽265 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.59/M | ₽10.59/M | ₽265 |
| Reka Edge | rekaai | ₽10.59/M | ₽10.59/M | ₽265 |
| text embedding 3 large | openai | ₽13.77/M | ₽13.77/M | ₽275 |
| Qwen3.5 Flash | alibaba | ₽6.89/M | ₽27.53/M | ₽275 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.30/M | ₽34.94/M | ₽281 |
| Laguna S 2.1 | Poolside | ₽9.53/M | ₽19.06/M | ₽286 |
| qwen3.5 9b | qwen | ₽10.59/M | ₽15.88/M | ₽291 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.41/M | ₽29.64/M | ₽296 |
| deepseek v4 flash · latest | yandex | ₽8.47/M | ₽26.68/M | ₽303 |
| Codestral Embed 2505 | Mistral | ₽15.88/M | ₽15.88/M | ₽318 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽15.88/M | ₽15.88/M | ₽318 |
| gpt oss safeguard 20b | openai | ₽7.94/M | ₽31.76/M | ₽318 |
| qwen3 32b | qwen | ₽8.47/M | ₽29.64/M | ₽318 |
| Seed 1.6 Flash | bytedance seed | ₽7.94/M | ₽31.76/M | ₽318 |
| qwen 2.5 7b instruct | qwen | ₽10.59/M | ₽21.17/M | ₽318 |
| Reka Flash 3 | rekaai | ₽10.59/M | ₽21.17/M | ₽318 |
| UI-TARS 7B | ByteDance | ₽10.59/M | ₽21.17/M | ₽318 |
| GPT-5 Nano | gpt 5 nano | ₽5.30/M | ₽42.34/M | ₽318 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽9.93/M | ₽26.47/M | ₽331 |
| glm 4.7 flash | z ai | ₽6.36/M | ₽42.34/M | ₽339 |
| Nemotron 3.5 Lightning | NVIDIA | ₽10.59/M | ₽26.47/M | ₽344 |
| Llama 4 Scout | llama 4 scout | ₽10.59/M | ₽31.76/M | ₽371 |
| Step 3.5 Flash | step 3.5 flash | ₽10.59/M | ₽31.76/M | ₽371 |
| Voxtral Small 24B 2507 | mistralai | ₽10.59/M | ₽31.76/M | ₽371 |
| Llama 3.3 70B | llama 3.3 70b | ₽10.59/M | ₽33.88/M | ₽381 |
| qwen3 14b | qwen | ₽12.71/M | ₽25.41/M | ₽381 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽9.00/M | ₽42.34/M | ₽392 |
| gemma 4 31b it | ₽10.59/M | ₽35.99/M | ₽392 | |
| mistralai · ministral-8b-2512 | mistralai | ₽15.88/M | ₽15.88/M | ₽397 |
| gemma 3 27b it | ₽8.47/M | ₽47.64/M | ₽408 | |
| Gemini Embedding 2 | gemini embedding 2 | ₽21.17/M | ₽21.17/M | ₽423 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.59/M | ₽42.34/M | ₽424 |
| gpt 4.1 nano | openai | ₽10.59/M | ₽42.34/M | ₽424 |
| Seed-2.0-Mini | bytedance seed | ₽10.59/M | ₽42.34/M | ₽424 |
| qwen3 vl 32b instruct | qwen | ₽11.01/M | ₽44.04/M | ₽440 |
| mimo v2.5 | mimo v2.5 | ₽14.82/M | ₽29.64/M | ₽445 |
| gemma 4 26b a4b it | ₽12.71/M | ₽42.34/M | ₽466 | |
| llama guard 4 12b | meta llama | ₽19.06/M | ₽19.06/M | ₽477 |
| qwen3 235b a22b 2507 | qwen | ₽9.53/M | ₽58.22/M | ₽482 |
| Hermes 4 70B | nousresearch | ₽13.77/M | ₽42.34/M | ₽487 |
| qwen3 8b | qwen | ₽12.39/M | ₽48.17/M | ₽489 |
| qwen3 vl 8b instruct | qwen | ₽12.39/M | ₽48.17/M | ₽489 |
| Ling-2.6-1T | inclusionai | ₽7.94/M | ₽66.16/M | ₽490 |
| Ring-2.6-1T | inclusionai | ₽7.94/M | ₽66.16/M | ₽490 |
| qwen3 30b a3b | qwen | ₽12.71/M | ₽52.93/M | ₽519 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.17/M | ₽21.17/M | ₽529 |
| gpt 5.6 luna | openai | ₽10.59/M | ₽63.51/M | ₽529 |
| gpt 5.6 luna pro | openai | ₽10.59/M | ₽63.51/M | ₽529 |
| GPT-5.6 Luna (batch) | OpenAI | ₽10.59/M | ₽63.51/M | ₽529 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽10.59/M | ₽63.51/M | ₽529 |
| Olmo 3 32B Think | allenai | ₽15.88/M | ₽52.93/M | ₽582 |
| hunyuan a13b | hunyuan a13b | ₽14.82/M | ₽60.34/M | ₽598 |
| Command R | command r | ₽15.88/M | ₽63.51/M | ₽635 |
| GPT-4o Mini | gpt 4o mini | ₽15.88/M | ₽63.51/M | ₽635 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽15.88/M | ₽63.51/M | ₽635 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽15.88/M | ₽63.51/M | ₽635 |
| Small 4 | mistralai | ₽15.88/M | ₽63.51/M | ₽635 |
| Solar Pro 3 | upstage | ₽15.88/M | ₽63.51/M | ₽635 |
| qwen3 coder next | qwen | ₽12.71/M | ₽84.68/M | ₽678 |
| glm 4.5 air | z ai | ₽13.77/M | ₽89.98/M | ₽725 |
| mistralai · mistral-saba | mistralai | ₽21.17/M | ₽63.51/M | ₽741 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽9.53/M | ₽116/M | ₽773 |
| deepseek v3.2 | deepseek | ₽28.48/M | ₽42.34/M | ₽781 |
| Llama 4 Maverick | llama 4 maverick | ₽21.17/M | ₽73.68/M | ₽792 |
| Rocinante 12B | thedrummer | ₽26.47/M | ₽52.93/M | ₽794 |
| qwen3.6 35b a3b | qwen | ₽15.88/M | ₽106/M | ₽847 |
| Uncensored | Venice | ₽21.17/M | ₽95.27/M | ₽900 |
| Cydonia 24B V4.1 | thedrummer | ₽31.76/M | ₽52.93/M | ₽900 |
| Trinity Large Preview | Arcee AI | ₽23.29/M | ₽89.98/M | ₽916 |
| Mercury 2 | inception | ₽26.47/M | ₽79.39/M | ₽926 |
| qwen2.5 vl 72b instruct | qwen | ₽26.47/M | ₽79.39/M | ₽926 |
| qwen3 coder flash | qwen | ₽20.65/M | ₽103/M | ₽929 |
| minimax m2.5 | minimax | ₽23.29/M | ₽95.27/M | ₽942 |
| Qwen Plus | qwen plus | ₽27.53/M | ₽82.57/M | ₽963 |
| qwen 2.5 72b instruct | qwen | ₽38.11/M | ₽42.34/M | ₽974 |
| qwen3.6 flash | qwen | ₽19.85/M | ₽119/M | ₽992 |
| minimax 01 | minimax | ₽21.17/M | ₽116/M | ₽1 006 |
| Step 3.7 Flash | step 3.7 flash | ₽21.17/M | ₽122/M | ₽1 032 |
| deepseek chat v3.1 | deepseek | ₽26.47/M | ₽101/M | ₽1 032 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽37.16/M | ₽58.75/M | ₽1 037 |
| llama 3.1 70b | llama 3.1 70b | ₽42.34/M | ₽42.34/M | ₽1 059 |
| UnslopNemo 12B | thedrummer | ₽42.34/M | ₽42.34/M | ₽1 059 |
| Nex-N2-Pro | nex agi | ₽26.47/M | ₽106/M | ₽1 059 |
| deepseek v3.1 terminus | deepseek | ₽28.58/M | ₽101/M | ₽1 074 |
| minimax m2 | minimax | ₽27.00/M | ₽108/M | ₽1 080 |
| gpt 5.4 nano | openai | ₽21.17/M | ₽132/M | ₽1 085 |
| DeepSeek Chat (V3) | deepseek chat | ₽27.25/M | ₽109/M | ₽1 089 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽27.53/M | ₽110/M | ₽1 101 |
| Mk1 | perceptron | ₽15.88/M | ₽159/M | ₽1 112 |
| glm 4.6v | z ai | ₽31.76/M | ₽95.27/M | ₽1 112 |
| mistralai · codestral-2508 | mistralai | ₽31.76/M | ₽95.27/M | ₽1 112 |
| qwen3 coder | qwen | ₽31.76/M | ₽106/M | ₽1 164 |
| Claude 3 Haiku | Anthropic | ₽26.47/M | ₽132/M | ₽1 191 |
| qwen3.5 35b a3b | qwen | ₽26.47/M | ₽132/M | ₽1 191 |
| qwen3.5 27b | qwen | ₽20.65/M | ₽165/M | ₽1 239 |
| KAT-Coder-Pro V1 | kwaipilot | ₽31.76/M | ₽127/M | ₽1 270 |
| LongCat 2.0 | meituan | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2 her | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2.1 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m2.7 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| minimax m3 | minimax | ₽31.76/M | ₽127/M | ₽1 270 |
| ReMM-SLERP-L2-13B | undi95 | ₽47.64/M | ₽68.81/M | ₽1 297 |
| gemini 3.1 flash lite | ₽26.47/M | ₽159/M | ₽1 323 | |
| gemini 3.1 flash lite image | ₽26.47/M | ₽159/M | ₽1 323 | |
| qwen3.7 plus | qwen | ₽33.88/M | ₽135/M | ₽1 355 |
| qwen3.5 plus | qwen3.5 plus | ₽27.53/M | ₽165/M | ₽1 376 |
| deepseek v4 pro | deepseek | ₽46.05/M | ₽92.09/M | ₽1 381 |
| mimo v2.5 pro | mimo v2.5 pro | ₽46.05/M | ₽92.09/M | ₽1 381 |
| Weaver (alpha) | mancer | ₽52.93/M | ₽79.39/M | ₽1 456 |
| Muse Glimmer 30B | Meta | ₽37.05/M | ₽159/M | ₽1 535 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽44.46/M | ₽132/M | ₽1 551 |
| Skyfall 36B V2 | thedrummer | ₽58.22/M | ₽84.68/M | ₽1 588 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽31.76/M | ₽191/M | ₽1 588 |
| gpt 5.1 codex mini | openai | ₽26.47/M | ₽212/M | ₽1 588 |
| GPT-5 Mini | gpt 5 mini | ₽26.47/M | ₽212/M | ₽1 588 |
| Seed 1.6 | bytedance seed | ₽26.47/M | ₽212/M | ₽1 588 |
| Seed-2.0-Lite | bytedance seed | ₽26.47/M | ₽212/M | ₽1 588 |
| Inkling Small | Thinking Machines | ₽47.64/M | ₽127/M | ₽1 588 |
| WizardLM-2 8x22B | microsoft | ₽65.63/M | ₽65.63/M | ₽1 641 |
| gpt 4.1 mini | openai | ₽42.34/M | ₽169/M | ₽1 694 |
| qwen3.6 plus | qwen | ₽34.41/M | ₽206/M | ₽1 720 |
| gemma 2 27b it | ₽68.81/M | ₽68.81/M | ₽1 720 | |
| glm 4.7 | z ai | ₽42.34/M | ₽185/M | ₽1 773 |
| Llama 3.3 Euryale 70B | sao10k | ₽68.81/M | ₽79.39/M | ₽1 773 |
| gpt 3.5 turbo | openai | ₽52.93/M | ₽159/M | ₽1 852 |
| Large 3 2512 | mistralai | ₽52.93/M | ₽159/M | ₽1 852 |
| Hermes 3 70B Instruct | nousresearch | ₽74.10/M | ₽74.10/M | ₽1 853 |
| qwen3.5 122b a10b | qwen | ₽30.70/M | ₽254/M | ₽1 884 |
| mistralai · mistral-medium-3 | mistralai | ₽42.34/M | ₽212/M | ₽1 905 |
| mistralai · mistral-medium-3.1 | mistralai | ₽42.34/M | ₽212/M | ₽1 905 |
| qwen 2.5 coder 32b instruct | qwen | ₽69.87/M | ₽106/M | ₽1 927 |
| qwen3 235b a22b | qwen | ₽48.17/M | ₽193/M | ₽1 927 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽31.76/M | ₽265/M | ₽1 958 |
| gemini 2.5 flash image | ₽31.76/M | ₽265/M | ₽1 958 | |
| gemini 3.5 flash lite | ₽31.76/M | ₽265/M | ₽1 958 | |
| Nova 2 Lite | amazon | ₽31.76/M | ₽265/M | ₽1 958 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽50.28/M | ₽212/M | ₽2 064 |
| deepseek r1 distill llama 70b | deepseek | ₽84.68/M | ₽84.68/M | ₽2 117 |
| glm 4.6 | z ai | ₽52.93/M | ₽212/M | ₽2 117 |
| Inkling (batch) | Thinking Machines | ₽52.93/M | ₽214/M | ₽2 130 |
| DeepSeek R1 | deepseek r1 | ₽52.93/M | ₽228/M | ₽2 197 |
| glm 4.5v | z ai | ₽63.51/M | ₽191/M | ₽2 223 |
| Virtuoso Large | arcee ai | ₽79.39/M | ₽127/M | ₽2 223 |
| Aion-3.0-Mini | AionLabs | ₽74.10/M | ₽148/M | ₽2 223 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽89.98/M | ₽89.98/M | ₽2 250 |
| morph · morph-v3-fast | morph | ₽84.68/M | ₽127/M | ₽2 329 |
| minimax m1 | minimax | ₽58.22/M | ₽233/M | ₽2 329 |
| o3 Mini (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o3 Mini High (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o4 Mini (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| o4 Mini High (batch) | OpenAI | ₽58.22/M | ₽233/M | ₽2 329 |
| Seed 2.1 Turbo | ByteDance Seed | ₽52.93/M | ₽265/M | ₽2 382 |
| Kimi K2 | kimi k2 | ₽60.34/M | ₽243/M | ₽2 424 |
| glm 4.5 | z ai | ₽63.51/M | ₽233/M | ₽2 435 |
| Apply 3 | relace | ₽89.98/M | ₽132/M | ₽2 461 |
| gpt audio mini | openai | ₽63.51/M | ₽254/M | ₽2 540 |
| Aion-2.0 | aion labs | ₽84.68/M | ₽169/M | ₽2 540 |
| Aion-RP 1.0 (8B) | aion labs | ₽84.68/M | ₽169/M | ₽2 540 |
| qwen3.5 397b a17b | qwen | ₽47.64/M | ₽318/M -17% вывод | ₽2 541 |
| Hermes 3 405B Instruct | nousresearch | ₽106/M | ₽106/M | ₽2 646 |
| Sonar | perplexity | ₽106/M | ₽106/M | ₽2 646 |
| Gemini 3 Flash | gemini 3 flash | ₽52.93/M | ₽318/M | ₽2 646 |
| gemini 3.1 flash image | ₽52.93/M | ₽318/M | ₽2 646 | |
| Seed-2.0-Code | ByteDance Seed | ₽52.93/M | ₽318/M | ₽2 646 |
| GLM 5.2 (batch) | Z.ai | ₽74.10/M | ₽233/M | ₽2 646 |
| Kimi K2.5 | kimi k2.5 | ₽60.34/M | ₽302/M | ₽2 715 |
| glm 5.2 | z ai | ₽52.93/M | ₽333/M | ₽2 726 |
| morph · morph-v3-large | morph | ₽95.27/M | ₽201/M | ₽2 911 |
| qwen3 coder plus | qwen | ₽68.81/M | ₽344/M | ₽3 096 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽78.33/M | ₽313/M | ₽3 133 |
| grok build 0.1 | x ai | ₽106/M | ₽212/M | ₽3 176 |
| Nemotron 3 Ultra | nvidia | ₽63.51/M | ₽381/M | ₽3 176 |
| qwen3.6 27b | qwen | ₽63.51/M | ₽381/M | ₽3 176 |
| kimi k2.7 code | moonshotai | ₽70.92/M | ₽360/M | ₽3 218 |
| Cogito v2.1 671B | deepcogito | ₽132/M | ₽132/M | ₽3 308 |
| GLM-5 | glm 5 | ₽101/M | ₽270/M | ₽3 361 |
| Nova Pro | amazon | ₽84.68/M | ₽339/M | ₽3 387 |
| Hermes 4 405B | nousresearch | ₽106/M | ₽318/M | ₽3 705 |
| Search | relace | ₽106/M | ₽318/M | ₽3 705 |
| Qwen3 Max | qwen3 max | ₽82.57/M | ₽413/M | ₽3 715 |
| GPT-5 Codex (batch) | OpenAI | ₽66.16/M | ₽529/M | ₽3 969 |
| gpt 5.4 mini | openai | ₽79.39/M | ₽476/M | ₽3 969 |
| OpenAI GPT Mini Latest | ~openai | ₽79.39/M | ₽476/M | ₽3 969 |
| grok 4.20 | x ai | ₽132/M | ₽265/M | ₽3 970 |
| grok 4.20 multi agent | x ai | ₽132/M | ₽265/M | ₽3 970 |
| grok 4.3 | x ai | ₽132/M | ₽265/M | ₽3 970 |
| kimi k2.6 | moonshotai | ₽101/M | ₽423/M | ₽4 128 |
| Sakana Namazu | Sakana | ₽101/M | ₽423/M | ₽4 128 |
| Inkling | Thinking Machines | ₽101/M | ₽429/M | ₽4 155 |
| o3 (batch) | OpenAI | ₽106/M | ₽423/M | ₽4 234 |
| Palmyra X5 | writer | ₽63.51/M | ₽635/M | ₽4 446 |
| glm 5 turbo | z ai | ₽127/M | ₽423/M | ₽4 657 |
| glm 5v turbo | z ai | ₽127/M | ₽423/M | ₽4 657 |
| O3 Mini | o3 mini | ₽116/M | ₽466/M | ₽4 658 |
| o3 mini high | openai | ₽116/M | ₽466/M | ₽4 658 |
| O4 Mini | o4 mini | ₽116/M | ₽466/M | ₽4 658 |
| o4 mini high | openai | ₽116/M | ₽466/M | ₽4 658 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽106/M | ₽529/M | ₽4 763 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽106/M | ₽529/M | ₽4 763 |
| Muse Spark 1.1 | muse spark 1.1 | ₽132/M | ₽450/M | ₽4 896 |
| Muse Spark 1.2 | muse spark 1.2 | ₽132/M | ₽450/M | ₽4 896 |
| glm 5.1 | z ai | ₽148/M | ₽466/M | ₽5 293 |
| gpt 5.6 terra | openai | ₽106/M | ₽635/M | ₽5 293 |
| gpt 5.6 terra pro | openai | ₽106/M | ₽635/M | ₽5 293 |
| GPT-5.6 Terra (batch) | OpenAI | ₽106/M | ₽635/M | ₽5 293 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽106/M | ₽635/M | ₽5 293 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽652/M | ₽5 435 |
| qwen3.7 max | qwen | ₽156/M | ₽468/M | ₽5 465 |
| gpt 5 image mini | openai | ₽265/M | ₽212/M | ₽6 351 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽159/M | ₽794/M | ₽7 145 |
| gemini 3.6 flash | ₽159/M | ₽794/M | ₽7 145 | |
| Google Gemini Flash Latest | ₽159/M | ₽794/M | ₽7 145 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽159/M | ₽794/M | ₽7 145 |
| grok 4.5 | x ai | ₽212/M | ₽635/M | ₽7 410 |
| grok 4.6 | grok 4.6 | ₽212/M | ₽635/M | ₽7 410 |
| Grok Latest | xAI | ₽212/M | ₽635/M | ₽7 410 |
| Mistral Large 2407 | Mistral large 2407 | ₽212/M | ₽635/M | ₽7 410 |
| mistralai · mistral-large | mistralai | ₽212/M | ₽635/M | ₽7 410 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽212/M | ₽635/M | ₽7 410 |
| Qwen 3.8 Max | alibaba | ₽212/M | ₽635/M | ₽7 410 |
| Qwen3.8 2.4T A95B | Qwen | ₽212/M | ₽635/M | ₽7 410 |
| gemini 3.5 flash | ₽159/M | ₽953/M | ₽7 939 | |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 codex | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 5.1 codex max | openai | ₽132/M | ₽1 059/M | ₽7 939 |
| GPT-5 | gpt 5 | ₽132/M | ₽1 059/M | ₽7 939 |
| gpt 3.5 turbo 16k | openai | ₽318/M | ₽423/M | ₽8 468 |
| gpt 4.1 | openai | ₽212/M | ₽847/M | ₽8 468 |
| Jamba Large 1.7 | ai21 | ₽212/M | ₽847/M | ₽8 468 |
| O3 | o3 | ₽212/M | ₽847/M | ₽8 468 |
| sonar deep research | perplexity | ₽212/M | ₽847/M | ₽8 468 |
| sonar reasoning pro | perplexity | ₽212/M | ₽847/M | ₽8 468 |
| Magnum v4 72B | anthracite org | ₽318/M | ₽529/M | ₽8 997 |
| Aion-3.0 | AionLabs | ₽318/M | ₽635/M | ₽9 527 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽212/M | ₽1 059/M | ₽9 527 |
| claude sonnet 5 | anthropic | ₽212/M | ₽1 059/M | ₽9 527 |
| gemini 3 pro image | ₽212/M | ₽1 270/M | ₽10 585 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽212/M | ₽1 270/M | ₽10 585 |
| gemini 3.1 pro preview customtools | ₽212/M | ₽1 270/M | ₽10 585 | |
| Google Gemini Pro Latest | ₽212/M | ₽1 270/M | ₽10 585 | |
| Cohere Command A | cohere command a | ₽265/M | ₽1 059/M | ₽10 585 |
| Command R Plus | command r plus | ₽265/M | ₽1 059/M | ₽10 585 |
| gpt audio | openai | ₽265/M | ₽1 059/M | ₽10 585 |
| GPT-4o | gpt 4o | ₽265/M | ₽1 059/M | ₽10 585 |
| gpt 5.2 | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.2 chat | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.2 codex | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| gpt 5.3 codex | openai | ₽185/M | ₽1 482/M | ₽11 114 |
| Nova Premier 1.0 | amazon | ₽265/M | ₽1 323/M | ₽11 908 |
| gpt 5.4 | openai | ₽265/M | ₽1 588/M | ₽13 231 |
| GPT-5.6 Sol (batch) | OpenAI | ₽265/M | ₽1 588/M | ₽13 231 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽265/M | ₽1 588/M | ₽13 231 |
| Claude Sonnet 4 | claude sonnet 4 | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽318/M | ₽1 588/M | ₽14 290 |
| kimi k3 | moonshotai | ₽318/M | ₽1 588/M | ₽14 290 |
| sonar pro | perplexity | ₽318/M | ₽1 588/M | ₽14 290 |
| Claude Opus 4.5 | claude opus 4 5 | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus 4.6 | claude opus 4 6 | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus 4.7 | claude opus 4 7 | ₽529/M | ₽2 646/M | ₽23 816 |
| claude opus 4.8 | anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| claude opus 5 | anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| Claude Opus Latest | Anthropic | ₽529/M | ₽2 646/M | ₽23 816 |
| GPT-5.4 Image 2 | openai | ₽847/M | ₽1 588/M | ₽24 875 |
| Fugu Ultra | sakana | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.5 | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.6 sol | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5.6 sol pro | openai | ₽529/M | ₽3 176/M | ₽26 462 |
| GPT Chat | gpt chat latest | ₽529/M | ₽3 176/M | ₽26 462 |
| OpenAI GPT Latest | ~openai | ₽529/M | ₽3 176/M | ₽26 462 |
| gpt 5 image | openai | ₽1 059/M | ₽1 059/M | ₽26 463 |
| o1 (batch) | OpenAI | ₽794/M | ₽3 176/M | ₽31 755 |
| gpt 4 turbo | openai | ₽1 059/M | ₽3 176/M | ₽37 048 |
| o3 Pro (batch) | OpenAI | ₽1 059/M | ₽4 234/M | ₽42 340 |
| claude fable 5 | anthropic | ₽1 059/M | ₽5 293/M | ₽47 633 |
| Claude Fable Latest | Anthropic | ₽1 059/M | ₽5 293/M | ₽47 633 |
| GPT-5 Pro (batch) | OpenAI | ₽794/M | ₽6 351/M | ₽47 633 |
| O1 | o1 | ₽1 588/M | ₽6 351/M | ₽63 510 |
| Claude Opus 4 | claude opus 4 | ₽1 588/M | ₽7 939/M | ₽71 449 |
| o3 pro | openai | ₽2 117/M | ₽8 468/M | ₽84 680 |
| gpt 5 pro | openai | ₽1 588/M | ₽12 702/M | ₽95 265 |
| gpt 4 | openai | ₽3 176/M | ₽6 351/M | ₽95 265 |
| gpt 5.2 pro | openai | ₽2 223/M | ₽17 783/M | ₽133 371 |
| gpt 5.4 pro | openai | ₽3 176/M | ₽19 053/M | ₽158 775 |
| gpt 5.5 pro | openai | ₽3 176/M | ₽19 053/M | ₽158 775 |
| o1-pro (batch) | OpenAI | ₽7 939/M | ₽31 755/M | ₽317 550 |
| o1 pro | openai | ₽15 878/M | ₽63 510/M | ₽635 100 |
Частые вопросы
- Где смотреть цены Neurly?
- Публично: GET https://neurly.ru/v1/models — поле pricing_rub; витрина https://neurly.ru/models.
- Какой base URL у Neurly?
- https://neurly.ru/v1 для OpenAI SDK; для Claude Code — https://neurly.ru.
- Нужен ли VPN?
- Нет — сервис ориентирован на доступ из РФ с оплатой в рублях.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Neurly предлагает 340 моделей AI API. Средняя цена — ₽402/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.43/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 13.08.2026.