AllTokens
Сайт ↗350+ моделей, роутинг и fallback — LLM-платформа в ₽ без VPN
- Моделей
- 304
- Средняя цена
- ₽367/M
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- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
GET /v1/models и billing API требуют API-ключ; публичный каталог с ценами — через platform API сайта · Часть моделей доступна только в платном режиме «по факту»
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
304 моделей
Текст и чат
оплата за токены · 294
▼
Текст и чат
оплата за токены · 294
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| all-MiniLM-L12-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| all-mpnet-base-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| bge-base-en-v1.5 | baai | ₽1.00/M | ₽1.00/M | ₽20 |
| E5-Base-v2 | Intfloat | ₽1.00/M | ₽1.00/M | ₽20 |
| GTE-Base | Thenlper | ₽1.00/M | ₽1.00/M | ₽20 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽1.00/M | ₽1.00/M | ₽20 |
| Bge M3 | baai | ₽2.00/M | ₽2.00/M | ₽40 |
| bge-large-en-v1.5 | baai | ₽2.00/M | ₽2.00/M | ₽40 |
| E5-Large-v2 | Intfloat | ₽2.00/M | ₽2.00/M | ₽40 |
| GTE-Large | Thenlper | ₽2.00/M | ₽2.00/M | ₽40 |
| Multilingual-E5-Large | Intfloat | ₽2.00/M | ₽2.00/M | ₽40 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽2.00/M | ₽2.00/M | ₽40 |
| Ling-2.6-flash | inclusionAI | ₽2.00/M | ₽4.00/M | ₽60 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.00/M | ₽3.00/M | ₽60 |
| text embedding 3 small | openai | ₽3.00/M | ₽3.00/M | ₽60 |
| Llama 3.1 8B | llama 3.1 8b | ₽3.00/M | ₽4.00/M | ₽80 |
| mistralai · mistral-nemo | mistralai | ₽3.00/M | ₽4.00/M | ₽80 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.00/M | ₽4.00/M | ₽80 |
| granite-4.0-h-micro | ibm granite | ₽3.00/M | ₽14.00/M | ₽130 |
| Llama 3 8B Lunaris | Sao10K | ₽5.00/M | ₽7.00/M | ₽135 |
| Nex-N2-Mini | Nex AGI | ₽4.00/M | ₽13.00/M | ₽145 |
| gpt oss 20b | openai | ₽4.00/M | ₽17.00/M | ₽165 |
| qwen 2.5 7b instruct | qwen | ₽5.00/M | ₽13.00/M | ₽165 |
| gpt oss 120b | openai | ₽4.00/M | ₽18.00/M | ₽170 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽7.00/M | ₽10.00/M | ₽190 |
| Nova Micro | amazon | ₽5.00/M | ₽18.00/M | ₽190 |
| command r7b 12 2024 | cohere | ₽5.00/M | ₽19.00/M | ₽195 |
| Mythomax L2 13B | Gryphe | ₽8.00/M | ₽8.00/M | ₽200 |
| GPT-5 Nano | gpt 5 nano | ₽4.00/M | ₽25.00/M | ₽205 |
| Llama 3.2 1B Preview | meta llama | ₽4.00/M | ₽25.00/M | ₽205 |
| Gemma 3 4B It | gemma 3 4b it | ₽7.00/M | ₽13.00/M | ₽205 |
| Granite 4.1 8B | IBM | ₽7.00/M | ₽13.00/M | ₽205 |
| gemma 3 12b it | ₽7.00/M | ₽19.00/M | ₽235 | |
| gemma 3n e4b it | ₽8.00/M | ₽15.00/M | ₽235 | |
| Laguna XS 2.1 | Poolside | ₽8.00/M | ₽15.00/M | ₽235 |
| qwen3 30b a3b instruct 2507 | qwen | ₽6.00/M | ₽24.00/M | ₽240 |
| Mistral Embed 2312 | Mistral | ₽13.00/M | ₽13.00/M | ₽260 |
| Text Embedding ADA | text embedding ada | ₽13.00/M | ₽13.00/M | ₽260 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.00/M | ₽25.00/M | ₽265 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽7.00/M | ₽25.00/M | ₽265 |
| Phi 4 | Microsoft | ₽9.00/M | ₽18.00/M | ₽270 |
| Hy3 | hy3 | ₽8.00/M | ₽27.00/M | ₽295 |
| gemma 3 27b it | ₽10.00/M | ₽20.00/M | ₽300 | |
| Nova Lite | amazon | ₽8.00/M | ₽30.00/M | ₽310 |
| mistralai · ministral-3b-2512 | mistralai | ₽13.00/M | ₽13.00/M | ₽325 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽10.00/M | ₽25.00/M | ₽325 |
| Reka Edge | rekaai | ₽13.00/M | ₽13.00/M | ₽325 |
| text embedding 3 large | openai | ₽17.00/M | ₽17.00/M | ₽340 |
| Llama 3.2 3B | llama 3.2 3b | ₽7.00/M | ₽41.00/M | ₽345 |
| Qwen3.5 Flash | qwen3.5 flash | ₽9.00/M | ₽33.00/M | ₽345 |
| gemma 4 26b a4b it | ₽8.00/M | ₽38.00/M | ₽350 | |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽9.00/M | ₽34.00/M | ₽350 |
| deepseek v4 flash | deepseek | ₽12.00/M | ₽23.00/M | ₽355 |
| qwen3.5 9b | qwen | ₽13.00/M | ₽19.00/M | ₽355 |
| qwen3 32b | qwen | ₽10.00/M | ₽35.00/M | ₽375 |
| Codestral Embed 2505 | Mistral | ₽19.00/M | ₽19.00/M | ₽380 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽19.00/M | ₽19.00/M | ₽380 |
| Reka Flash 3 | rekaai | ₽13.00/M | ₽25.00/M | ₽385 |
| UI-TARS 7B | ByteDance | ₽13.00/M | ₽25.00/M | ₽385 |
| gpt oss safeguard 20b | openai | ₽10.00/M | ₽38.00/M | ₽390 |
| Seed 1.6 Flash | ByteDance Seed | ₽10.00/M | ₽38.00/M | ₽390 |
| glm 4.7 flash | z ai | ₽8.00/M | ₽50.00/M | ₽410 |
| qwen3 14b | qwen | ₽13.00/M | ₽30.00/M | ₽410 |
| mimo v2.5 | mimo v2.5 | ₽14.00/M | ₽28.00/M -20% вывод | ₽420 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽10.00/M | ₽50.00/M | ₽450 |
| Llama 4 Scout | llama 4 scout | ₽13.00/M | ₽38.00/M | ₽450 |
| Step 3.5 Flash | step 3.5 flash | ₽13.00/M | ₽38.00/M | ₽450 |
| Voxtral Small 24B 2507 | Mistral | ₽13.00/M | ₽38.00/M | ₽450 |
| Llama 3.3 70B | llama 3.3 70b | ₽13.00/M | ₽40.00/M | ₽460 |
| mistralai · ministral-8b-2512 | mistralai | ₽19.00/M | ₽19.00/M | ₽475 |
| gemini embedding 2 | gemini embedding 2 | ₽25.00/M | ₽25.00/M | ₽500 |
| gpt 4.1 nano | openai | ₽13.00/M | ₽50.00/M | ₽510 |
| Seed-2.0-Mini | ByteDance Seed | ₽13.00/M | ₽50.00/M | ₽510 |
| gemma 4 31b it | ₽15.00/M | ₽44.00/M | ₽520 | |
| qwen3 vl 32b instruct | qwen | ₽13.00/M | ₽52.00/M | ₽520 |
| llama guard 4 12b | meta llama | ₽23.00/M | ₽23.00/M | ₽575 |
| qwen3 235b a22b 2507 | qwen | ₽12.00/M | ₽69.00/M | ₽585 |
| qwen3 8b | qwen | ₽15.00/M | ₽57.00/M | ₽585 |
| qwen3 vl 8b instruct | qwen | ₽15.00/M | ₽57.00/M | ₽585 |
| Hermes 4 70B | Nous | ₽17.00/M | ₽50.00/M | ₽590 |
| Ling-2.6-1T | inclusionAI | ₽10.00/M | ₽78.00/M | ₽590 |
| Ring-2.6-1T | inclusionAI | ₽10.00/M | ₽78.00/M | ₽590 |
| qwen3 30b a3b | qwen | ₽15.00/M | ₽63.00/M | ₽615 |
| mistralai · ministral-14b-2512 | mistralai | ₽25.00/M | ₽25.00/M | ₽625 |
| gpt 5.4 nano | openai | ₽13.00/M | ₽78.00/M | ₽650 |
| qwen3 vl 30b a3b instruct | qwen | ₽17.00/M | ₽65.00/M | ₽665 |
| hunyuan a13b | hunyuan a13b | ₽18.00/M | ₽71.00/M | ₽715 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.00/M | ₽97.00/M | ₽725 |
| deepseek v3.2 | deepseek | ₽27.00/M | ₽40.00/M | ₽740 |
| Laguna M.1 | Poolside | ₽25.00/M | ₽50.00/M | ₽750 |
| Command R | command r | ₽19.00/M | ₽75.00/M | ₽755 |
| GPT-4o Mini | gpt 4o mini | ₽19.00/M | ₽75.00/M | ₽755 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽19.00/M | ₽75.00/M | ₽755 |
| Mistral Small 4 | Mistral | ₽19.00/M | ₽75.00/M | ₽755 |
| Solar Pro 3 | Upstage | ₽19.00/M | ₽75.00/M | ₽755 |
| qwen3 coder next | qwen | ₽14.00/M | ₽100/M | ₽780 |
| gemini 3.1 flash lite | ₽16.00/M | ₽94.00/M | ₽790 | |
| glm 4.5 air | z ai | ₽17.00/M | ₽106/M | ₽870 |
| mistralai · mistral-saba | mistralai | ₽25.00/M | ₽75.00/M | ₽875 |
| minimax m2.5 | minimax | ₽19.00/M | ₽112/M | ₽940 |
| GPT-5 Mini | gpt 5 mini | ₽16.00/M | ₽125/M | ₽945 |
| Rocinante 12B | TheDrummer | ₽32.00/M | ₽63.00/M | ₽955 |
| qwen3.6 35b a3b | qwen | ₽17.00/M | ₽125/M | ₽965 |
| qwen3.5 35b a3b | qwen | ₽18.00/M | ₽125/M | ₽985 |
| DeepSeek Chat (V3) | deepseek chat | ₽25.00/M | ₽100/M | ₽1000 |
| Llama 4 Maverick | llama 4 maverick | ₽25.00/M | ₽100/M | ₽1000 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽25.00/M | ₽110/M | ₽1 050 |
| Uncensored | Venice | ₽25.00/M | ₽112/M | ₽1 060 |
| Cydonia 24B V4.1 | TheDrummer | ₽38.00/M | ₽63.00/M | ₽1 075 |
| llama 3.2 11b vision:free | meta llama | ₽43.00/M | ₽43.00/M | ₽1 075 |
| Mercury 2 | Inception | ₽32.00/M | ₽94.00/M | ₽1 110 |
| qwen2.5 vl 72b instruct | qwen | ₽32.00/M | ₽94.00/M | ₽1 110 |
| qwen3 coder flash | qwen | ₽25.00/M | ₽122/M | ₽1 110 |
| Trinity Large Preview | Arcee AI | ₽32.00/M | ₽100/M | ₽1 140 |
| Qwen Plus | qwen plus | ₽33.00/M | ₽97.00/M | ₽1 145 |
| qwen 2.5 72b instruct | qwen | ₽45.00/M | ₽50.00/M | ₽1 150 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽19.00/M | ₽156/M | ₽1 160 |
| gemini 2.5 flash image | ₽19.00/M | ₽156/M | ₽1 160 | |
| qwen3.6 flash | qwen | ₽24.00/M | ₽140/M | ₽1 180 |
| minimax 01 | minimax | ₽25.00/M | ₽137/M | ₽1 185 |
| qwen3 coder | qwen | ₽28.00/M | ₽125/M | ₽1 185 |
| Step 3.7 Flash | step 3.7 flash | ₽24.00/M | ₽142/M | ₽1 190 |
| minimax m2.7 | minimax | ₽30.00/M | ₽120/M | ₽1 200 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽44.00/M | ₽69.00/M | ₽1 225 |
| deepseek chat v3.1 | deepseek | ₽32.00/M | ₽118/M | ₽1 230 |
| llama 3.1 70b | llama 3.1 70b | ₽50.00/M | ₽50.00/M | ₽1 250 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽50.00/M | ₽50.00/M | ₽1 250 |
| UnslopNemo 12B | TheDrummer | ₽50.00/M | ₽50.00/M | ₽1 250 |
| Nex-N2-Pro | Nex AGI | ₽32.00/M | ₽125/M | ₽1 265 |
| deepseek v3.1 terminus | deepseek | ₽34.00/M | ₽118/M | ₽1 270 |
| minimax m2 | minimax | ₽32.00/M | ₽127/M | ₽1 275 |
| qwen3 235b a22b | qwen | ₽19.00/M | ₽186/M | ₽1 310 |
| mimo v2.5 pro | mimo v2.5 pro | ₽44.00/M -20% ввод | ₽87.00/M | ₽1 315 |
| Perceptron Mk1 | Perceptron | ₽19.00/M | ₽187/M | ₽1 315 |
| glm 4.6v | z ai | ₽38.00/M | ₽112/M | ₽1 320 |
| mistralai · codestral-2508 | mistralai | ₽38.00/M | ₽112/M | ₽1 320 |
| Claude 3 Haiku | Anthropic | ₽32.00/M | ₽156/M | ₽1 420 |
| qwen3.5 27b | qwen | ₽25.00/M | ₽194/M | ₽1 470 |
| KAT-Coder-Pro V1 | kwaipilot | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m2 her | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m2.1 | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m3 | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| ReMM SLERP 13B | undi95 | ₽56.00/M | ₽81.00/M | ₽1 525 |
| Gemini 3 Flash | gemini 3 flash | ₽32.00/M | ₽187/M | ₽1 575 |
| gemini 3.1 flash image | ₽32.00/M | ₽187/M | ₽1 575 | |
| gemini 3.1 flash lite image | ₽32.00/M | ₽187/M | ₽1 575 | |
| qwen3.7 plus | qwen | ₽40.00/M | ₽159/M | ₽1 595 |
| qwen3.5 plus | qwen3.5 plus | ₽33.00/M | ₽194/M | ₽1 630 |
| deepseek v4 pro | deepseek | ₽55.00/M | ₽109/M | ₽1 645 |
| gpt 5.1 codex mini | openai | ₽30.00/M | ₽240/M | ₽1 800 |
| Seed 1.6 | ByteDance Seed | ₽30.00/M | ₽240/M | ₽1 800 |
| Seed-2.0-Lite | ByteDance Seed | ₽30.00/M | ₽240/M | ₽1 800 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽53.00/M | ₽156/M | ₽1 840 |
| qwen3.6 27b | qwen | ₽34.00/M | ₽240/M | ₽1 880 |
| Skyfall 36B V2 | TheDrummer | ₽69.00/M | ₽100/M | ₽1 880 |
| qwen3.5 122b a10b | qwen | ₽32.00/M | ₽249/M | ₽1 885 |
| gpt 4.1 mini | openai | ₽48.00/M | ₽192/M | ₽1 920 |
| qwen3.6 plus | qwen | ₽39.00/M | ₽234/M | ₽1 950 |
| WizardLM-2 8x22B | microsoft | ₽78.00/M | ₽78.00/M | ₽1 950 |
| glm 4.7 | z ai | ₽48.00/M | ₽210/M | ₽2 010 |
| gemma 2 27b it | ₽81.00/M | ₽81.00/M | ₽2 025 | |
| Kimi K2.5 | kimi k2.5 | ₽45.00/M | ₽228/M | ₽2 040 |
| glm 4.6 | z ai | ₽52.00/M | ₽210/M | ₽2 090 |
| Llama 3.3 Euryale 70B | Sao10K | ₽81.00/M | ₽94.00/M | ₽2 090 |
| gpt 3.5 turbo | openai | ₽60.00/M | ₽180/M | ₽2 100 |
| Mistral Large 3 2512 | Mistral | ₽60.00/M | ₽180/M | ₽2 100 |
| mistralai · devstral-2512 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| mistralai · mistral-medium-3 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| mistralai · mistral-medium-3.1 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| Hermes 3 70B Instruct | Nous | ₽87.00/M | ₽87.00/M | ₽2 175 |
| Nova 2 Lite | amazon | ₽36.00/M | ₽299/M | ₽2 215 |
| gpt 5.4 mini | openai | ₽45.00/M | ₽270/M | ₽2 250 |
| qwen 2.5 coder 32b instruct | qwen | ₽82.00/M | ₽125/M | ₽2 265 |
| minimax m1 | minimax | ₽48.00/M | ₽264/M | ₽2 280 |
| qwen3.5 397b a17b | qwen | ₽47.00/M | ₽280/M | ₽2 340 |
| DeepSeek R1 | deepseek r1 | ₽60.00/M | ₽258/M | ₽2 490 |
| deepseek r1 distill llama 70b | deepseek | ₽100/M | ₽100/M | ₽2 500 |
| Weaver (alpha) | Mancer | ₽94.00/M | ₽125/M | ₽2 505 |
| Aion-3.0-Mini | AionLabs | ₽84.00/M | ₽168/M | ₽2 520 |
| glm 4.5v | z ai | ₽72.00/M | ₽216/M | ₽2 520 |
| Nemotron 3 Ultra | NVIDIA | ₽60.00/M | ₽264/M | ₽2 520 |
| GLM-5 | glm 5 | ₽72.00/M | ₽230/M | ₽2 590 |
| Virtuoso Large | Arcee AI | ₽94.00/M | ₽150/M | ₽2 630 |
| morph · morph-v3-fast | morph | ₽96.00/M | ₽144/M | ₽2 640 |
| Llama 3.1 Euryale 70B v2.2 | Sao10K | ₽106/M | ₽106/M | ₽2 650 |
| glm 4.5 | z ai | ₽72.00/M | ₽264/M | ₽2 760 |
| Kimi K2 | kimi k2 | ₽69.00/M | ₽276/M | ₽2 760 |
| Relace Apply 3 | Relace | ₽102/M | ₽150/M | ₽2 790 |
| Aion-2.0 | AionLabs | ₽96.00/M | ₽192/M | ₽2 880 |
| Aion-RP 1.0 (8B) | AionLabs | ₽96.00/M | ₽192/M | ₽2 880 |
| gpt audio mini | openai | ₽72.00/M | ₽288/M | ₽2 880 |
| gpt 5.6 luna | openai | ₽60.00/M | ₽359/M | ₽2 995 |
| gpt 5.6 luna pro | openai | ₽60.00/M | ₽359/M | ₽2 995 |
| Hermes 3 405B Instruct | Nous | ₽120/M | ₽120/M | ₽3 000 |
| Sonar | perplexity | ₽120/M | ₽120/M | ₽3 000 |
| morph · morph-v3-large | morph | ₽108/M | ₽228/M | ₽3 300 |
| kimi k2.6 | moonshotai | ₽79.00/M | ₽383/M | ₽3 495 |
| qwen3 coder plus | qwen | ₽78.00/M | ₽389/M | ₽3 505 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽89.00/M | ₽355/M | ₽3 555 |
| grok build 0.1 | x ai | ₽120/M | ₽240/M | ₽3 600 |
| Cogito v2.1 671B | Deep Cogito | ₽150/M | ₽150/M | ₽3 750 |
| kimi k2.7 code | moonshotai | ₽86.00/M | ₽418/M | ₽3 810 |
| Nova Pro | amazon | ₽96.00/M | ₽383/M | ₽3 835 |
| glm 5.2 | z ai | ₽112/M | ₽347/M | ₽3 975 |
| glm 5.1 | z ai | ₽116/M | ₽364/M | ₽4 140 |
| Hermes 4 405B | nousresearch | ₽120/M | ₽359/M | ₽4 195 |
| relace · relace-search | relace | ₽120/M | ₽359/M | ₽4 195 |
| Qwen3 Max | qwen3 max | ₽94.00/M | ₽467/M | ₽4 215 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽75.00/M | ₽598/M | ₽4 490 |
| gpt 5.1 | openai | ₽75.00/M | ₽598/M | ₽4 490 |
| gemini 3.5 flash | ₽90.00/M | ₽539/M | ₽4 495 | |
| grok 4.20 | x ai | ₽150/M | ₽299/M | ₽4 495 |
| grok 4.20 multi agent | x ai | ₽150/M | ₽299/M | ₽4 495 |
| grok 4.3 | x ai | ₽150/M | ₽299/M | ₽4 495 |
| Palmyra X5 | Writer | ₽72.00/M | ₽718/M | ₽5 030 |
| glm 5 turbo | z ai | ₽144/M | ₽479/M | ₽5 275 |
| glm 5v turbo | z ai | ₽144/M | ₽479/M | ₽5 275 |
| O3 Mini | o3 mini | ₽132/M | ₽527/M | ₽5 275 |
| o3 mini high | openai | ₽132/M | ₽527/M | ₽5 275 |
| O4 Mini | o4 mini | ₽132/M | ₽527/M | ₽5 275 |
| o4 mini high | openai | ₽132/M | ₽527/M | ₽5 275 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽120/M | ₽598/M | ₽5 390 |
| gemini 3 pro image | ₽120/M | ₽718/M | ₽5 990 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽120/M | ₽718/M | ₽5 990 |
| qwen3.7 max | qwen | ₽177/M | ₽530/M | ₽6 190 |
| Qwen3.6 Max | Qwen3.6 Max | ₽125/M | ₽747/M | ₽6 235 |
| gpt 5.2 | openai | ₽105/M | ₽838/M | ₽6 290 |
| gpt 5 image mini | openai | ₽299/M | ₽240/M | ₽7 180 |
| gpt 5.4 | openai | ₽150/M | ₽897/M | ₽7 485 |
| gpt 5.6 terra | openai | ₽150/M | ₽897/M | ₽7 485 |
| gpt 5.6 terra pro | openai | ₽150/M | ₽897/M | ₽7 485 |
| mistralai · mistral-medium-3-5 | mistralai | ₽180/M | ₽897/M | ₽8 085 |
| grok 4.5 | x ai | ₽240/M | ₽718/M | ₽8 390 |
| Mistral Large 2407 | Mistral large 2407 | ₽240/M | ₽718/M | ₽8 390 |
| mistralai · mistral-large | mistralai | ₽240/M | ₽718/M | ₽8 390 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽240/M | ₽718/M | ₽8 390 |
| gpt 5 chat | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5 codex | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 chat | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 codex | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 codex max | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| GPT-5 | gpt 5 | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 3.5 turbo 16k | openai | ₽359/M | ₽479/M | ₽9 575 |
| gpt 4.1 | openai | ₽240/M | ₽957/M | ₽9 585 |
| Jamba Large 1.7 | AI21 | ₽240/M | ₽957/M | ₽9 585 |
| O3 | o3 | ₽240/M | ₽957/M | ₽9 585 |
| o4 mini deep research | openai | ₽240/M | ₽957/M | ₽9 585 |
| sonar deep research | perplexity | ₽240/M | ₽957/M | ₽9 585 |
| sonar reasoning pro | perplexity | ₽240/M | ₽957/M | ₽9 585 |
| Magnum v4 72B | anthracite org | ₽359/M | ₽598/M | ₽10 170 |
| claude sonnet 5 | anthropic | ₽230/M | ₽1 150/M | ₽10 350 |
| Aion-3.0 | AionLabs | ₽359/M | ₽718/M | ₽10 770 |
| gemini 3.1 pro preview customtools | ₽230/M | ₽1 380/M | ₽11 500 | |
| Cohere Command A | cohere command a | ₽288/M | ₽1 150/M | ₽11 510 |
| Command R Plus | command r plus | ₽288/M | ₽1 150/M | ₽11 510 |
| gpt audio | openai | ₽288/M | ₽1 150/M | ₽11 510 |
| GPT-4o | gpt 4o | ₽288/M | ₽1 150/M | ₽11 510 |
| Inflection 3 Pi | Inflection | ₽288/M | ₽1 150/M | ₽11 510 |
| Inflection 3 Productivity | Inflection | ₽288/M | ₽1 150/M | ₽11 510 |
| gpt 5.2 chat | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.2 codex | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.3 chat | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.3 codex | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| Nova Premier 1.0 | Amazon | ₽288/M | ₽1 438/M | ₽12 950 |
| gpt 5.5 | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| gpt 5.6 sol | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| gpt 5.6 sol pro | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| Claude Sonnet 4 | claude sonnet 4 | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽345/M | ₽1 725/M | ₽15 525 |
| sonar pro | perplexity | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Opus 4.5 | claude opus 4 5 | ₽575/M | ₽2 875/M | ₽25 875 |
| Claude Opus 4.6 | claude opus 4 6 | ₽575/M | ₽2 875/M | ₽25 875 |
| Claude Opus 4.7 | claude opus 4 7 | ₽575/M | ₽2 875/M | ₽25 875 |
| claude opus 4.8 | anthropic | ₽575/M | ₽2 875/M | ₽25 875 |
| GPT-5.4 Image 2 | OpenAI | ₽920/M | ₽1 725/M | ₽27 025 |
| Fugu Ultra | sakana | ₽575/M | ₽3 450/M | ₽28 750 |
| GPT Chat | gpt chat latest | ₽575/M | ₽3 450/M | ₽28 750 |
| gpt 5 image | openai | ₽1 150/M | ₽1 150/M | ₽28 750 |
| gpt 4 turbo | openai | ₽1 150/M | ₽3 450/M | ₽40 250 |
| o3 deep research | openai | ₽1 104/M | ₽4 416/M | ₽44 160 |
| claude fable 5 | anthropic | ₽1 104/M | ₽5 520/M | ₽49 680 |
| O1 | o1 | ₽1 656/M | ₽6 624/M | ₽66 240 |
| Claude Opus 4 | claude opus 4 | ₽1 656/M | ₽8 280/M | ₽74 520 |
| gpt 5.4 pro | openai | ₽1 656/M | ₽9 936/M | ₽82 800 |
| gpt 5.5 pro | openai | ₽1 656/M | ₽9 936/M | ₽82 800 |
| o3 pro | openai | ₽2 208/M | ₽8 832/M | ₽88 320 |
| gpt 5 pro | openai | ₽1 656/M | ₽13 248/M | ₽99 360 |
| gpt 4 | openai | ₽3 312/M | ₽6 624/M | ₽99 360 |
| gpt 5.2 pro | openai | ₽2 319/M | ₽18 548/M | ₽139 120 |
| o1 pro | openai | ₽16 560/M | ₽66 240/M | ₽662 400 |
Без публичной цены
нет данных в открытых источниках · 10
▼
Без публичной цены
нет данных в открытых источниках · 10
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Llama Nemotron Embed Vl 1b V2 | nvidia | — |
| 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 (Бесплатно) | Cohere | — |
| Pareto Code Router | alltokens | — |
Текст и чат
оплата за токены · 294
▼
Текст и чат
оплата за токены · 294
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| all-MiniLM-L12-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| all-mpnet-base-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| bge-base-en-v1.5 | baai | ₽1.00/M | ₽1.00/M | ₽20 |
| E5-Base-v2 | Intfloat | ₽1.00/M | ₽1.00/M | ₽20 |
| GTE-Base | Thenlper | ₽1.00/M | ₽1.00/M | ₽20 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽1.00/M | ₽1.00/M | ₽20 |
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽1.00/M | ₽1.00/M | ₽20 |
| Bge M3 | baai | ₽2.00/M | ₽2.00/M | ₽40 |
| bge-large-en-v1.5 | baai | ₽2.00/M | ₽2.00/M | ₽40 |
| E5-Large-v2 | Intfloat | ₽2.00/M | ₽2.00/M | ₽40 |
| GTE-Large | Thenlper | ₽2.00/M | ₽2.00/M | ₽40 |
| Multilingual-E5-Large | Intfloat | ₽2.00/M | ₽2.00/M | ₽40 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽2.00/M | ₽2.00/M | ₽40 |
| Ling-2.6-flash | inclusionAI | ₽2.00/M | ₽4.00/M | ₽60 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.00/M | ₽3.00/M | ₽60 |
| text embedding 3 small | openai | ₽3.00/M | ₽3.00/M | ₽60 |
| Llama 3.1 8B | llama 3.1 8b | ₽3.00/M | ₽4.00/M | ₽80 |
| mistralai · mistral-nemo | mistralai | ₽3.00/M | ₽4.00/M | ₽80 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.00/M | ₽4.00/M | ₽80 |
| granite-4.0-h-micro | ibm granite | ₽3.00/M | ₽14.00/M | ₽130 |
| Llama 3 8B Lunaris | Sao10K | ₽5.00/M | ₽7.00/M | ₽135 |
| Nex-N2-Mini | Nex AGI | ₽4.00/M | ₽13.00/M | ₽145 |
| gpt oss 20b | openai | ₽4.00/M | ₽17.00/M | ₽165 |
| qwen 2.5 7b instruct | qwen | ₽5.00/M | ₽13.00/M | ₽165 |
| gpt oss 120b | openai | ₽4.00/M | ₽18.00/M | ₽170 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽7.00/M | ₽10.00/M | ₽190 |
| Nova Micro | amazon | ₽5.00/M | ₽18.00/M | ₽190 |
| command r7b 12 2024 | cohere | ₽5.00/M | ₽19.00/M | ₽195 |
| Mythomax L2 13B | Gryphe | ₽8.00/M | ₽8.00/M | ₽200 |
| GPT-5 Nano | gpt 5 nano | ₽4.00/M | ₽25.00/M | ₽205 |
| Llama 3.2 1B Preview | meta llama | ₽4.00/M | ₽25.00/M | ₽205 |
| Gemma 3 4B It | gemma 3 4b it | ₽7.00/M | ₽13.00/M | ₽205 |
| Granite 4.1 8B | IBM | ₽7.00/M | ₽13.00/M | ₽205 |
| gemma 3 12b it | ₽7.00/M | ₽19.00/M | ₽235 | |
| gemma 3n e4b it | ₽8.00/M | ₽15.00/M | ₽235 | |
| Laguna XS 2.1 | Poolside | ₽8.00/M | ₽15.00/M | ₽235 |
| qwen3 30b a3b instruct 2507 | qwen | ₽6.00/M | ₽24.00/M | ₽240 |
| Mistral Embed 2312 | Mistral | ₽13.00/M | ₽13.00/M | ₽260 |
| Text Embedding ADA | text embedding ada | ₽13.00/M | ₽13.00/M | ₽260 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.00/M | ₽25.00/M | ₽265 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽7.00/M | ₽25.00/M | ₽265 |
| Phi 4 | Microsoft | ₽9.00/M | ₽18.00/M | ₽270 |
| Hy3 | hy3 | ₽8.00/M | ₽27.00/M | ₽295 |
| gemma 3 27b it | ₽10.00/M | ₽20.00/M | ₽300 | |
| Nova Lite | amazon | ₽8.00/M | ₽30.00/M | ₽310 |
| mistralai · ministral-3b-2512 | mistralai | ₽13.00/M | ₽13.00/M | ₽325 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽10.00/M | ₽25.00/M | ₽325 |
| Reka Edge | rekaai | ₽13.00/M | ₽13.00/M | ₽325 |
| text embedding 3 large | openai | ₽17.00/M | ₽17.00/M | ₽340 |
| Llama 3.2 3B | llama 3.2 3b | ₽7.00/M | ₽41.00/M | ₽345 |
| Qwen3.5 Flash | qwen3.5 flash | ₽9.00/M | ₽33.00/M | ₽345 |
| gemma 4 26b a4b it | ₽8.00/M | ₽38.00/M | ₽350 | |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽9.00/M | ₽34.00/M | ₽350 |
| deepseek v4 flash | deepseek | ₽12.00/M | ₽23.00/M | ₽355 |
| qwen3.5 9b | qwen | ₽13.00/M | ₽19.00/M | ₽355 |
| qwen3 32b | qwen | ₽10.00/M | ₽35.00/M | ₽375 |
| Codestral Embed 2505 | Mistral | ₽19.00/M | ₽19.00/M | ₽380 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽19.00/M | ₽19.00/M | ₽380 |
| Reka Flash 3 | rekaai | ₽13.00/M | ₽25.00/M | ₽385 |
| UI-TARS 7B | ByteDance | ₽13.00/M | ₽25.00/M | ₽385 |
| gpt oss safeguard 20b | openai | ₽10.00/M | ₽38.00/M | ₽390 |
| Seed 1.6 Flash | ByteDance Seed | ₽10.00/M | ₽38.00/M | ₽390 |
| glm 4.7 flash | z ai | ₽8.00/M | ₽50.00/M | ₽410 |
| qwen3 14b | qwen | ₽13.00/M | ₽30.00/M | ₽410 |
| mimo v2.5 | mimo v2.5 | ₽14.00/M | ₽28.00/M -20% вывод | ₽420 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽10.00/M | ₽50.00/M | ₽450 |
| Llama 4 Scout | llama 4 scout | ₽13.00/M | ₽38.00/M | ₽450 |
| Step 3.5 Flash | step 3.5 flash | ₽13.00/M | ₽38.00/M | ₽450 |
| Voxtral Small 24B 2507 | Mistral | ₽13.00/M | ₽38.00/M | ₽450 |
| Llama 3.3 70B | llama 3.3 70b | ₽13.00/M | ₽40.00/M | ₽460 |
| mistralai · ministral-8b-2512 | mistralai | ₽19.00/M | ₽19.00/M | ₽475 |
| gemini embedding 2 | gemini embedding 2 | ₽25.00/M | ₽25.00/M | ₽500 |
| gpt 4.1 nano | openai | ₽13.00/M | ₽50.00/M | ₽510 |
| Seed-2.0-Mini | ByteDance Seed | ₽13.00/M | ₽50.00/M | ₽510 |
| gemma 4 31b it | ₽15.00/M | ₽44.00/M | ₽520 | |
| qwen3 vl 32b instruct | qwen | ₽13.00/M | ₽52.00/M | ₽520 |
| llama guard 4 12b | meta llama | ₽23.00/M | ₽23.00/M | ₽575 |
| qwen3 235b a22b 2507 | qwen | ₽12.00/M | ₽69.00/M | ₽585 |
| qwen3 8b | qwen | ₽15.00/M | ₽57.00/M | ₽585 |
| qwen3 vl 8b instruct | qwen | ₽15.00/M | ₽57.00/M | ₽585 |
| Hermes 4 70B | Nous | ₽17.00/M | ₽50.00/M | ₽590 |
| Ling-2.6-1T | inclusionAI | ₽10.00/M | ₽78.00/M | ₽590 |
| Ring-2.6-1T | inclusionAI | ₽10.00/M | ₽78.00/M | ₽590 |
| qwen3 30b a3b | qwen | ₽15.00/M | ₽63.00/M | ₽615 |
| mistralai · ministral-14b-2512 | mistralai | ₽25.00/M | ₽25.00/M | ₽625 |
| gpt 5.4 nano | openai | ₽13.00/M | ₽78.00/M | ₽650 |
| qwen3 vl 30b a3b instruct | qwen | ₽17.00/M | ₽65.00/M | ₽665 |
| hunyuan a13b | hunyuan a13b | ₽18.00/M | ₽71.00/M | ₽715 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.00/M | ₽97.00/M | ₽725 |
| deepseek v3.2 | deepseek | ₽27.00/M | ₽40.00/M | ₽740 |
| Laguna M.1 | Poolside | ₽25.00/M | ₽50.00/M | ₽750 |
| Command R | command r | ₽19.00/M | ₽75.00/M | ₽755 |
| GPT-4o Mini | gpt 4o mini | ₽19.00/M | ₽75.00/M | ₽755 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽19.00/M | ₽75.00/M | ₽755 |
| Mistral Small 4 | Mistral | ₽19.00/M | ₽75.00/M | ₽755 |
| Solar Pro 3 | Upstage | ₽19.00/M | ₽75.00/M | ₽755 |
| qwen3 coder next | qwen | ₽14.00/M | ₽100/M | ₽780 |
| gemini 3.1 flash lite | ₽16.00/M | ₽94.00/M | ₽790 | |
| glm 4.5 air | z ai | ₽17.00/M | ₽106/M | ₽870 |
| mistralai · mistral-saba | mistralai | ₽25.00/M | ₽75.00/M | ₽875 |
| minimax m2.5 | minimax | ₽19.00/M | ₽112/M | ₽940 |
| GPT-5 Mini | gpt 5 mini | ₽16.00/M | ₽125/M | ₽945 |
| Rocinante 12B | TheDrummer | ₽32.00/M | ₽63.00/M | ₽955 |
| qwen3.6 35b a3b | qwen | ₽17.00/M | ₽125/M | ₽965 |
| qwen3.5 35b a3b | qwen | ₽18.00/M | ₽125/M | ₽985 |
| DeepSeek Chat (V3) | deepseek chat | ₽25.00/M | ₽100/M | ₽1000 |
| Llama 4 Maverick | llama 4 maverick | ₽25.00/M | ₽100/M | ₽1000 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽25.00/M | ₽110/M | ₽1 050 |
| Uncensored | Venice | ₽25.00/M | ₽112/M | ₽1 060 |
| Cydonia 24B V4.1 | TheDrummer | ₽38.00/M | ₽63.00/M | ₽1 075 |
| llama 3.2 11b vision:free | meta llama | ₽43.00/M | ₽43.00/M | ₽1 075 |
| Mercury 2 | Inception | ₽32.00/M | ₽94.00/M | ₽1 110 |
| qwen2.5 vl 72b instruct | qwen | ₽32.00/M | ₽94.00/M | ₽1 110 |
| qwen3 coder flash | qwen | ₽25.00/M | ₽122/M | ₽1 110 |
| Trinity Large Preview | Arcee AI | ₽32.00/M | ₽100/M | ₽1 140 |
| Qwen Plus | qwen plus | ₽33.00/M | ₽97.00/M | ₽1 145 |
| qwen 2.5 72b instruct | qwen | ₽45.00/M | ₽50.00/M | ₽1 150 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽19.00/M | ₽156/M | ₽1 160 |
| gemini 2.5 flash image | ₽19.00/M | ₽156/M | ₽1 160 | |
| qwen3.6 flash | qwen | ₽24.00/M | ₽140/M | ₽1 180 |
| minimax 01 | minimax | ₽25.00/M | ₽137/M | ₽1 185 |
| qwen3 coder | qwen | ₽28.00/M | ₽125/M | ₽1 185 |
| Step 3.7 Flash | step 3.7 flash | ₽24.00/M | ₽142/M | ₽1 190 |
| minimax m2.7 | minimax | ₽30.00/M | ₽120/M | ₽1 200 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽44.00/M | ₽69.00/M | ₽1 225 |
| deepseek chat v3.1 | deepseek | ₽32.00/M | ₽118/M | ₽1 230 |
| llama 3.1 70b | llama 3.1 70b | ₽50.00/M | ₽50.00/M | ₽1 250 |
| Nvidia Llama 3.3 Nemotron Super 49B V1.5 | nvidia llama 3.3 nemotron super 49b v1.5 | ₽50.00/M | ₽50.00/M | ₽1 250 |
| UnslopNemo 12B | TheDrummer | ₽50.00/M | ₽50.00/M | ₽1 250 |
| Nex-N2-Pro | Nex AGI | ₽32.00/M | ₽125/M | ₽1 265 |
| deepseek v3.1 terminus | deepseek | ₽34.00/M | ₽118/M | ₽1 270 |
| minimax m2 | minimax | ₽32.00/M | ₽127/M | ₽1 275 |
| qwen3 235b a22b | qwen | ₽19.00/M | ₽186/M | ₽1 310 |
| mimo v2.5 pro | mimo v2.5 pro | ₽44.00/M -20% ввод | ₽87.00/M | ₽1 315 |
| Perceptron Mk1 | Perceptron | ₽19.00/M | ₽187/M | ₽1 315 |
| glm 4.6v | z ai | ₽38.00/M | ₽112/M | ₽1 320 |
| mistralai · codestral-2508 | mistralai | ₽38.00/M | ₽112/M | ₽1 320 |
| Claude 3 Haiku | Anthropic | ₽32.00/M | ₽156/M | ₽1 420 |
| qwen3.5 27b | qwen | ₽25.00/M | ₽194/M | ₽1 470 |
| KAT-Coder-Pro V1 | kwaipilot | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m2 her | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m2.1 | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| minimax m3 | minimax | ₽38.00/M | ₽150/M | ₽1 510 |
| ReMM SLERP 13B | undi95 | ₽56.00/M | ₽81.00/M | ₽1 525 |
| Gemini 3 Flash | gemini 3 flash | ₽32.00/M | ₽187/M | ₽1 575 |
| gemini 3.1 flash image | ₽32.00/M | ₽187/M | ₽1 575 | |
| gemini 3.1 flash lite image | ₽32.00/M | ₽187/M | ₽1 575 | |
| qwen3.7 plus | qwen | ₽40.00/M | ₽159/M | ₽1 595 |
| qwen3.5 plus | qwen3.5 plus | ₽33.00/M | ₽194/M | ₽1 630 |
| deepseek v4 pro | deepseek | ₽55.00/M | ₽109/M | ₽1 645 |
| gpt 5.1 codex mini | openai | ₽30.00/M | ₽240/M | ₽1 800 |
| Seed 1.6 | ByteDance Seed | ₽30.00/M | ₽240/M | ₽1 800 |
| Seed-2.0-Lite | ByteDance Seed | ₽30.00/M | ₽240/M | ₽1 800 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽53.00/M | ₽156/M | ₽1 840 |
| qwen3.6 27b | qwen | ₽34.00/M | ₽240/M | ₽1 880 |
| Skyfall 36B V2 | TheDrummer | ₽69.00/M | ₽100/M | ₽1 880 |
| qwen3.5 122b a10b | qwen | ₽32.00/M | ₽249/M | ₽1 885 |
| gpt 4.1 mini | openai | ₽48.00/M | ₽192/M | ₽1 920 |
| qwen3.6 plus | qwen | ₽39.00/M | ₽234/M | ₽1 950 |
| WizardLM-2 8x22B | microsoft | ₽78.00/M | ₽78.00/M | ₽1 950 |
| glm 4.7 | z ai | ₽48.00/M | ₽210/M | ₽2 010 |
| gemma 2 27b it | ₽81.00/M | ₽81.00/M | ₽2 025 | |
| Kimi K2.5 | kimi k2.5 | ₽45.00/M | ₽228/M | ₽2 040 |
| glm 4.6 | z ai | ₽52.00/M | ₽210/M | ₽2 090 |
| Llama 3.3 Euryale 70B | Sao10K | ₽81.00/M | ₽94.00/M | ₽2 090 |
| gpt 3.5 turbo | openai | ₽60.00/M | ₽180/M | ₽2 100 |
| Mistral Large 3 2512 | Mistral | ₽60.00/M | ₽180/M | ₽2 100 |
| mistralai · devstral-2512 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| mistralai · mistral-medium-3 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| mistralai · mistral-medium-3.1 | mistralai | ₽48.00/M | ₽240/M | ₽2 160 |
| Hermes 3 70B Instruct | Nous | ₽87.00/M | ₽87.00/M | ₽2 175 |
| Nova 2 Lite | amazon | ₽36.00/M | ₽299/M | ₽2 215 |
| gpt 5.4 mini | openai | ₽45.00/M | ₽270/M | ₽2 250 |
| qwen 2.5 coder 32b instruct | qwen | ₽82.00/M | ₽125/M | ₽2 265 |
| minimax m1 | minimax | ₽48.00/M | ₽264/M | ₽2 280 |
| qwen3.5 397b a17b | qwen | ₽47.00/M | ₽280/M | ₽2 340 |
| DeepSeek R1 | deepseek r1 | ₽60.00/M | ₽258/M | ₽2 490 |
| deepseek r1 distill llama 70b | deepseek | ₽100/M | ₽100/M | ₽2 500 |
| Weaver (alpha) | Mancer | ₽94.00/M | ₽125/M | ₽2 505 |
| Aion-3.0-Mini | AionLabs | ₽84.00/M | ₽168/M | ₽2 520 |
| glm 4.5v | z ai | ₽72.00/M | ₽216/M | ₽2 520 |
| Nemotron 3 Ultra | NVIDIA | ₽60.00/M | ₽264/M | ₽2 520 |
| GLM-5 | glm 5 | ₽72.00/M | ₽230/M | ₽2 590 |
| Virtuoso Large | Arcee AI | ₽94.00/M | ₽150/M | ₽2 630 |
| morph · morph-v3-fast | morph | ₽96.00/M | ₽144/M | ₽2 640 |
| Llama 3.1 Euryale 70B v2.2 | Sao10K | ₽106/M | ₽106/M | ₽2 650 |
| glm 4.5 | z ai | ₽72.00/M | ₽264/M | ₽2 760 |
| Kimi K2 | kimi k2 | ₽69.00/M | ₽276/M | ₽2 760 |
| Relace Apply 3 | Relace | ₽102/M | ₽150/M | ₽2 790 |
| Aion-2.0 | AionLabs | ₽96.00/M | ₽192/M | ₽2 880 |
| Aion-RP 1.0 (8B) | AionLabs | ₽96.00/M | ₽192/M | ₽2 880 |
| gpt audio mini | openai | ₽72.00/M | ₽288/M | ₽2 880 |
| gpt 5.6 luna | openai | ₽60.00/M | ₽359/M | ₽2 995 |
| gpt 5.6 luna pro | openai | ₽60.00/M | ₽359/M | ₽2 995 |
| Hermes 3 405B Instruct | Nous | ₽120/M | ₽120/M | ₽3 000 |
| Sonar | perplexity | ₽120/M | ₽120/M | ₽3 000 |
| morph · morph-v3-large | morph | ₽108/M | ₽228/M | ₽3 300 |
| kimi k2.6 | moonshotai | ₽79.00/M | ₽383/M | ₽3 495 |
| qwen3 coder plus | qwen | ₽78.00/M | ₽389/M | ₽3 505 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽89.00/M | ₽355/M | ₽3 555 |
| grok build 0.1 | x ai | ₽120/M | ₽240/M | ₽3 600 |
| Cogito v2.1 671B | Deep Cogito | ₽150/M | ₽150/M | ₽3 750 |
| kimi k2.7 code | moonshotai | ₽86.00/M | ₽418/M | ₽3 810 |
| Nova Pro | amazon | ₽96.00/M | ₽383/M | ₽3 835 |
| glm 5.2 | z ai | ₽112/M | ₽347/M | ₽3 975 |
| glm 5.1 | z ai | ₽116/M | ₽364/M | ₽4 140 |
| Hermes 4 405B | nousresearch | ₽120/M | ₽359/M | ₽4 195 |
| relace · relace-search | relace | ₽120/M | ₽359/M | ₽4 195 |
| Qwen3 Max | qwen3 max | ₽94.00/M | ₽467/M | ₽4 215 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽75.00/M | ₽598/M | ₽4 490 |
| gpt 5.1 | openai | ₽75.00/M | ₽598/M | ₽4 490 |
| gemini 3.5 flash | ₽90.00/M | ₽539/M | ₽4 495 | |
| grok 4.20 | x ai | ₽150/M | ₽299/M | ₽4 495 |
| grok 4.20 multi agent | x ai | ₽150/M | ₽299/M | ₽4 495 |
| grok 4.3 | x ai | ₽150/M | ₽299/M | ₽4 495 |
| Palmyra X5 | Writer | ₽72.00/M | ₽718/M | ₽5 030 |
| glm 5 turbo | z ai | ₽144/M | ₽479/M | ₽5 275 |
| glm 5v turbo | z ai | ₽144/M | ₽479/M | ₽5 275 |
| O3 Mini | o3 mini | ₽132/M | ₽527/M | ₽5 275 |
| o3 mini high | openai | ₽132/M | ₽527/M | ₽5 275 |
| O4 Mini | o4 mini | ₽132/M | ₽527/M | ₽5 275 |
| o4 mini high | openai | ₽132/M | ₽527/M | ₽5 275 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽120/M | ₽598/M | ₽5 390 |
| gemini 3 pro image | ₽120/M | ₽718/M | ₽5 990 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽120/M | ₽718/M | ₽5 990 |
| qwen3.7 max | qwen | ₽177/M | ₽530/M | ₽6 190 |
| Qwen3.6 Max | Qwen3.6 Max | ₽125/M | ₽747/M | ₽6 235 |
| gpt 5.2 | openai | ₽105/M | ₽838/M | ₽6 290 |
| gpt 5 image mini | openai | ₽299/M | ₽240/M | ₽7 180 |
| gpt 5.4 | openai | ₽150/M | ₽897/M | ₽7 485 |
| gpt 5.6 terra | openai | ₽150/M | ₽897/M | ₽7 485 |
| gpt 5.6 terra pro | openai | ₽150/M | ₽897/M | ₽7 485 |
| mistralai · mistral-medium-3-5 | mistralai | ₽180/M | ₽897/M | ₽8 085 |
| grok 4.5 | x ai | ₽240/M | ₽718/M | ₽8 390 |
| Mistral Large 2407 | Mistral large 2407 | ₽240/M | ₽718/M | ₽8 390 |
| mistralai · mistral-large | mistralai | ₽240/M | ₽718/M | ₽8 390 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽240/M | ₽718/M | ₽8 390 |
| gpt 5 chat | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5 codex | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 chat | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 codex | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 5.1 codex max | openai | ₽144/M | ₽1 150/M | ₽8 630 |
| GPT-5 | gpt 5 | ₽144/M | ₽1 150/M | ₽8 630 |
| gpt 3.5 turbo 16k | openai | ₽359/M | ₽479/M | ₽9 575 |
| gpt 4.1 | openai | ₽240/M | ₽957/M | ₽9 585 |
| Jamba Large 1.7 | AI21 | ₽240/M | ₽957/M | ₽9 585 |
| O3 | o3 | ₽240/M | ₽957/M | ₽9 585 |
| o4 mini deep research | openai | ₽240/M | ₽957/M | ₽9 585 |
| sonar deep research | perplexity | ₽240/M | ₽957/M | ₽9 585 |
| sonar reasoning pro | perplexity | ₽240/M | ₽957/M | ₽9 585 |
| Magnum v4 72B | anthracite org | ₽359/M | ₽598/M | ₽10 170 |
| claude sonnet 5 | anthropic | ₽230/M | ₽1 150/M | ₽10 350 |
| Aion-3.0 | AionLabs | ₽359/M | ₽718/M | ₽10 770 |
| gemini 3.1 pro preview customtools | ₽230/M | ₽1 380/M | ₽11 500 | |
| Cohere Command A | cohere command a | ₽288/M | ₽1 150/M | ₽11 510 |
| Command R Plus | command r plus | ₽288/M | ₽1 150/M | ₽11 510 |
| gpt audio | openai | ₽288/M | ₽1 150/M | ₽11 510 |
| GPT-4o | gpt 4o | ₽288/M | ₽1 150/M | ₽11 510 |
| Inflection 3 Pi | Inflection | ₽288/M | ₽1 150/M | ₽11 510 |
| Inflection 3 Productivity | Inflection | ₽288/M | ₽1 150/M | ₽11 510 |
| gpt 5.2 chat | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.2 codex | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.3 chat | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| gpt 5.3 codex | openai | ₽202/M | ₽1 610/M | ₽12 090 |
| Nova Premier 1.0 | Amazon | ₽288/M | ₽1 438/M | ₽12 950 |
| gpt 5.5 | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| gpt 5.6 sol | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| gpt 5.6 sol pro | openai | ₽288/M | ₽1 725/M | ₽14 385 |
| Claude Sonnet 4 | claude sonnet 4 | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽345/M | ₽1 725/M | ₽15 525 |
| sonar pro | perplexity | ₽345/M | ₽1 725/M | ₽15 525 |
| Claude Opus 4.5 | claude opus 4 5 | ₽575/M | ₽2 875/M | ₽25 875 |
| Claude Opus 4.6 | claude opus 4 6 | ₽575/M | ₽2 875/M | ₽25 875 |
| Claude Opus 4.7 | claude opus 4 7 | ₽575/M | ₽2 875/M | ₽25 875 |
| claude opus 4.8 | anthropic | ₽575/M | ₽2 875/M | ₽25 875 |
| GPT-5.4 Image 2 | OpenAI | ₽920/M | ₽1 725/M | ₽27 025 |
| Fugu Ultra | sakana | ₽575/M | ₽3 450/M | ₽28 750 |
| GPT Chat | gpt chat latest | ₽575/M | ₽3 450/M | ₽28 750 |
| gpt 5 image | openai | ₽1 150/M | ₽1 150/M | ₽28 750 |
| gpt 4 turbo | openai | ₽1 150/M | ₽3 450/M | ₽40 250 |
| o3 deep research | openai | ₽1 104/M | ₽4 416/M | ₽44 160 |
| claude fable 5 | anthropic | ₽1 104/M | ₽5 520/M | ₽49 680 |
| O1 | o1 | ₽1 656/M | ₽6 624/M | ₽66 240 |
| Claude Opus 4 | claude opus 4 | ₽1 656/M | ₽8 280/M | ₽74 520 |
| gpt 5.4 pro | openai | ₽1 656/M | ₽9 936/M | ₽82 800 |
| gpt 5.5 pro | openai | ₽1 656/M | ₽9 936/M | ₽82 800 |
| o3 pro | openai | ₽2 208/M | ₽8 832/M | ₽88 320 |
| gpt 5 pro | openai | ₽1 656/M | ₽13 248/M | ₽99 360 |
| gpt 4 | openai | ₽3 312/M | ₽6 624/M | ₽99 360 |
| gpt 5.2 pro | openai | ₽2 319/M | ₽18 548/M | ₽139 120 |
| o1 pro | openai | ₽16 560/M | ₽66 240/M | ₽662 400 |
Без публичной цены
нет данных в открытых источниках · 10
▼
Без публичной цены
нет данных в открытых источниках · 10
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Llama Nemotron Embed Vl 1b V2 | nvidia | — |
| 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 (Бесплатно) | Cohere | — |
| Pareto Code Router | alltokens | — |
О провайдере
О сервисе
AllTokens позиционируется не как простой агрегатор, а как инфраструктурная платформа: каталог и совместимый API — базовый слой, поверх которого идут роутинг, контроль расходов, наблюдаемость и политики доступа. Подходит командам, которые строят SaaS и AI-продукты и хотят один endpoint вместо десятка интеграций с зарубежными провайдерами. Цены — прямые ₽/1M токенов (не ratio-модель как у OneAPI).
Как сравнивать на AI-APISHKA
Сравнивайте прямые ₽/1M с RouterAI и NeuroAPI (у NeuroAPI — пересчёт из ratio). Для бесплатных моделей (:free) учитывайте лимиты free-tier. Cache read (inputCacheReadPrice) может существенно снижать стоимость повторяющихся промптов.
Частые вопросы
- AllTokens — агрегатор или платформа?
- На сайте заявлена платформа с роутингом, fallback, лимитами и аналитикой — не только каталог моделей с прокси-API.
- Можно ли начать с AllTokens бесплатно?
- Да — бесплатный режим для тестов и первых интеграций; для production-каталога и полных лимитов — оплата по факту потребления токенов.
- AllTokens совместим с OpenAI SDK?
- Да — меняете base_url на https://api.alltokens.ru/api/v1 и используете свой API-ключ из личного кабинета.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
AllTokens предлагает 304 моделей AI API. Средняя цена — ₽367/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.00/M (all-MiniLM-L12-v2).
Сравните цены на all-MiniLM-L12-v2 , all-MiniLM-L6-v2 , all-mpnet-base-v2 , bge-base-en-v1.5 и E5-Base-v2 у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.