Polza
Сайт ↗400+ моделей, fallback и поддержка <10 минут
- Моделей
- 353
- Средняя цена
- ₽409/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты российских банков
- Биллинг
- за токены
- API
- OpenAI-compatible
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
352 моделей
Текст и чат
оплата за токены · 294
▼
Текст и чат
оплата за токены · 294
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.46/M | ₽0.46/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.57/M | ₽0.57/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.57/M | ₽0.57/M | ₽11 |
| GTE-Base | Thenlper | ₽0.57/M | ₽0.57/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| Bge M3 | baai | ₽1.14/M | ₽1.14/M | ₽23 |
| bge-large-en-v1.5 | baai | ₽1.14/M | ₽1.14/M | ₽23 |
| E5-Large-v2 | Intfloat | ₽1.14/M | ₽1.14/M | ₽23 |
| GTE-Large | Thenlper | ₽1.14/M | ₽1.14/M | ₽23 |
| Multilingual-E5-Large | Intfloat | ₽1.14/M | ₽1.14/M | ₽23 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.14/M | ₽1.14/M | ₽23 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.29/M | ₽2.29/M | ₽46 |
| text embedding 3 small | openai | ₽2.29/M | ₽2.29/M | ₽46 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.43/M | ₽3.43/M | ₽69 |
| Gemma 3 4B It | gemma 3 4b it | ₽1.95/M | ₽7.80/M | ₽78 |
| granite-4.0-h-micro | ibm granite | ₽1.94/M | ₽12.81/M | ₽103 |
| Llama 3 8B Lunaris | sao10k | ₽4.57/M | ₽5.72/M | ₽120 |
| gemma 3 12b it | ₽3.43/M | ₽11.44/M | ₽126 | |
| deepseek r1 distill llama 70b | deepseek | ₽3.43/M | ₽12.58/M | ₽132 |
| gemma 3 27b it | ₽3.43/M | ₽12.58/M | ₽132 | |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽3.43/M | ₽12.58/M | ₽132 |
| qwen 2.5 coder 32b instruct | qwen | ₽3.43/M | ₽12.58/M | ₽132 |
| qwen 2.5 7b instruct | qwen | ₽4.57/M | ₽11.44/M | ₽149 |
| Amazon Nova Micro | nova micro | ₽4.00/M | ₽16.01/M | ₽160 |
| Command R7B (12-2024) | cohere | ₽4.29/M | ₽17.16/M | ₽172 |
| Granite 4.1 8B | ibm granite | ₽5.72/M | ₽11.44/M | ₽172 |
| llama 3.2 1b:free | meta llama | ₽3.09/M | ₽22.99/M | ₽177 |
| gemma 3n e4b it | ₽6.86/M | ₽13.72/M | ₽206 | |
| Laguna XS 2.1 | poolside | ₽6.86/M | ₽13.72/M | ₽206 |
| Mistral Embed 2312 | Mistral | ₽11.44/M | ₽11.44/M | ₽229 |
| Text Embedding ADA | text embedding ada | ₽11.44/M | ₽11.44/M | ₽229 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽6.86/M | ₽20.59/M | ₽240 |
| Phi 4 | Microsoft | ₽8.01/M | ₽16.01/M | ₽240 |
| qwen3 14b | qwen | ₽5.72/M | ₽25.16/M | ₽240 |
| gpt oss 20b | openai | ₽8.01/M | ₽17.16/M | ₽246 |
| qwen3 30b a3b | qwen | ₽6.86/M | ₽25.16/M | ₽263 |
| Nova Lite | amazon | ₽6.86/M | ₽27.45/M | ₽274 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.86/M | ₽27.45/M | ₽274 |
| YandexGPT Embeddings — Doc | yandex | ₽14.03/M | ₽14.03/M | ₽281 |
| YandexGPT Embeddings — Query | yandex | ₽14.03/M | ₽14.03/M | ₽281 |
| Llama 3.1 8B | llama 3.1 8b | ₽11.44/M | ₽11.44/M | ₽286 |
| mistralai · ministral-3b-2512 | mistralai | ₽11.44/M | ₽11.44/M | ₽286 |
| Reka Edge | rekaai | ₽11.44/M | ₽11.44/M | ₽286 |
| Qwen3.5 Flash | alibaba | ₽7.43/M | ₽29.74/M | ₽297 |
| text embedding 3 large | openai | ₽14.87/M | ₽14.87/M | ₽297 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.82/M | ₽38.32/M | ₽308 |
| qwen3.5 9b | qwen | ₽11.44/M | ₽17.16/M | ₽315 |
| gemma 4 26b a4b it | ₽6.86/M | ₽37.74/M | ₽326 | |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽8.01/M | ₽34.31/M | ₽332 |
| Codestral Embed 2505 | Mistral | ₽17.16/M | ₽17.16/M | ₽343 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽17.16/M | ₽17.16/M | ₽343 |
| gpt oss safeguard 20b | openai | ₽8.58/M | ₽34.31/M | ₽343 |
| GPT-5 Nano | gpt 5 nano | ₽5.72/M | ₽45.75/M | ₽343 |
| Laguna S 2.1 | Poolside | ₽11.44/M | ₽22.87/M | ₽343 |
| qwen3 32b | qwen | ₽9.15/M | ₽32.02/M | ₽343 |
| qwen3 8b | qwen | ₽5.72/M | ₽45.75/M | ₽343 |
| Seed 1.6 Flash | bytedance seed | ₽8.58/M | ₽34.31/M | ₽343 |
| UI-TARS 7B | ByteDance | ₽11.44/M | ₽22.87/M | ₽343 |
| glm 4.7 flash | z ai | ₽6.92/M | ₽45.75/M | ₽367 |
| Nemotron 3.5 Lightning | NVIDIA | ₽11.44/M | ₽28.59/M | ₽372 |
| Llama 4 Scout | llama 4 scout | ₽11.44/M | ₽34.31/M | ₽400 |
| Step 3.5 Flash | step 3.5 flash | ₽11.44/M | ₽34.31/M | ₽400 |
| Voxtral Small 24B 2507 | mistralai | ₽11.44/M | ₽34.31/M | ₽400 |
| mistralai · ministral-8b-2512 | mistralai | ₽17.16/M | ₽17.16/M | ₽429 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽11.44/M | ₽45.75/M | ₽457 |
| gpt 4.1 nano | openai | ₽11.44/M | ₽45.75/M | ₽457 |
| Seed-2.0-Mini | bytedance seed | ₽11.44/M | ₽45.75/M | ₽457 |
| Gemini Embedding 2 | gemini embedding 2 | ₽22.87/M | ₽22.87/M | ₽457 |
| Hermes 4 70B | nousresearch | ₽12.58/M | ₽43.46/M | ₽469 |
| deepseek v4 flash | deepseek | ₽16.01/M | ₽32.02/M | ₽480 |
| mimo v2.5 | mimo v2.5 | ₽16.01/M | ₽32.02/M | ₽480 |
| gemma 4 31b it | ₽13.72/M | ₽42.32/M | ₽486 | |
| llama guard 4 12b | meta llama | ₽20.59/M | ₽20.59/M | ₽515 |
| Ring-2.6-1T | inclusionai | ₽8.58/M | ₽71.48/M | ₽529 |
| gpt 5.6 luna | openai | ₽11.44/M | ₽68.62/M | ₽572 |
| gpt 5.6 luna pro | openai | ₽11.44/M | ₽68.62/M | ₽572 |
| mistralai · ministral-14b-2512 | mistralai | ₽22.87/M | ₽22.87/M | ₽572 |
| Hy3 | hy3 | ₽15.10/M | ₽60.39/M | ₽604 |
| Olmo 3 32B Think | allenai | ₽17.16/M | ₽57.19/M | ₽629 |
| hunyuan a13b | hunyuan a13b | ₽16.01/M | ₽65.19/M | ₽646 |
| gpt oss 120b | openai | ₽11.44/M | ₽85.78/M | ₽658 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.15/M | ₽89.21/M | ₽669 |
| qwen3 235b a22b 2507 | qwen | ₽17.10/M | ₽68.40/M | ₽684 |
| Command R | command r | ₽17.16/M | ₽68.62/M | ₽686 |
| glm 4.5 air | z ai | ₽17.16/M | ₽68.62/M | ₽686 |
| GPT-4o Mini | gpt 4o mini | ₽17.16/M | ₽68.62/M | ₽686 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽17.16/M | ₽68.62/M | ₽686 |
| qwen2.5 vl 72b instruct | qwen | ₽17.16/M | ₽68.62/M | ₽686 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽17.16/M | ₽68.62/M | ₽686 |
| Small 4 | mistralai | ₽17.16/M | ₽68.62/M | ₽686 |
| Solar Pro 3 | upstage | ₽17.16/M | ₽68.62/M | ₽686 |
| mistralai · mistral-saba | mistralai | ₽22.87/M | ₽68.62/M | ₽801 |
| deepseek v3.2 | deepseek | ₽29.74/M | ₽43.46/M | ₽812 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽13.43/M | ₽112/M | ₽828 |
| qwen3 30b a3b instruct 2507 | qwen | ₽21.73/M | ₽78.92/M | ₽829 |
| Rocinante 12B | thedrummer | ₽28.59/M | ₽57.19/M | ₽858 |
| mistralai · mistral-nemo | mistralai | ₽34.31/M | ₽34.31/M | ₽858 |
| qwen3.5 35b a3b | qwen | ₽15.90/M | ₽114/M | ₽890 |
| Llama 4 Maverick | llama 4 maverick | ₽22.87/M | ₽91.50/M | ₽915 |
| qwen3 coder next | qwen | ₽20.59/M | ₽103/M | ₽926 |
| Cydonia 24B V4.1 | thedrummer | ₽34.31/M | ₽57.19/M | ₽972 |
| DeepSeek Chat (V3) | deepseek chat | ₽24.70/M | ₽101/M | ₽997 |
| Mercury 2 | inception | ₽28.59/M | ₽85.78/M | ₽1 001 |
| qwen3 vl 8b instruct | qwen | ₽28.59/M | ₽85.78/M | ₽1 001 |
| qwen3 coder flash | qwen | ₽22.30/M | ₽112/M | ₽1 004 |
| minimax m2.5 | minimax | ₽25.73/M | ₽103/M | ₽1 029 |
| Trinity Large Preview | Arcee AI | ₽28.59/M | ₽91.50/M | ₽1 029 |
| Qwen Plus | qwen plus | ₽29.74/M | ₽89.21/M | ₽1 041 |
| qwen3.6 flash | qwen | ₽21.45/M | ₽129/M | ₽1 072 |
| minimax 01 | minimax | ₽22.87/M | ₽126/M | ₽1 087 |
| Step 3.7 Flash | step 3.7 flash | ₽22.87/M | ₽132/M | ₽1 115 |
| llama 3.1 70b | llama 3.1 70b | ₽45.75/M | ₽45.75/M | ₽1 144 |
| Mythomax L2 13B | Gryphe | ₽45.75/M | ₽45.75/M | ₽1 144 |
| UnslopNemo 12B | thedrummer | ₽45.75/M | ₽45.75/M | ₽1 144 |
| minimax m2 | minimax | ₽29.17/M | ₽114/M | ₽1 155 |
| gpt 5.4 nano | openai | ₽22.87/M | ₽143/M | ₽1 172 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽29.74/M | ₽119/M | ₽1 189 |
| glm 4.6v | z ai | ₽34.31/M | ₽103/M | ₽1 201 |
| mistralai · codestral-2508 | mistralai | ₽34.31/M | ₽103/M | ₽1 201 |
| Mk1 | perceptron | ₽17.16/M | ₽172/M | ₽1 201 |
| minimax m2.1 | minimax | ₽33.17/M | ₽109/M | ₽1 207 |
| deepseek chat v3.1 | deepseek | ₽34.31/M | ₽109/M | ₽1 230 |
| deepseek v3.1 terminus | deepseek | ₽34.31/M | ₽109/M | ₽1 230 |
| Claude 3 Haiku | Anthropic | ₽28.59/M | ₽143/M | ₽1 287 |
| KAT-Coder-Pro V1 | kwaipilot | ₽34.31/M | ₽137/M | ₽1 372 |
| minimax m2 her | minimax | ₽34.31/M | ₽137/M | ₽1 372 |
| minimax m3 | minimax | ₽34.31/M | ₽137/M | ₽1 372 |
| qwen 2.5 72b instruct | qwen | ₽34.31/M | ₽137/M | ₽1 372 |
| qwen3 235b a22b | qwen | ₽34.31/M | ₽137/M | ₽1 372 |
| WizardLM-2 8x22B | microsoft | ₽54.90/M | ₽54.90/M | ₽1 372 |
| ReMM-SLERP-L2-13B | undi95 | ₽51.47/M | ₽74.34/M | ₽1 401 |
| gemini 3.1 flash lite | ₽28.59/M | ₽172/M | ₽1 430 | |
| gemini 3.1 flash lite image | ₽28.59/M | ₽172/M | ₽1 430 | |
| qwen3.5 plus | qwen3.5 plus | ₽29.74/M | ₽178/M | ₽1 487 |
| deepseek v4 pro | deepseek | ₽49.75/M | ₽99.51/M | ₽1 493 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽33.45/M | ₽167/M | ₽1 505 |
| Weaver (alpha) | mancer | ₽57.19/M | ₽85.78/M | ₽1 573 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽48.04/M | ₽143/M | ₽1 676 |
| glm 4.5 | z ai | ₽40.03/M | ₽177/M | ₽1 687 |
| gpt 5.1 codex mini | openai | ₽28.59/M | ₽229/M | ₽1 716 |
| GPT-5 Mini | gpt 5 mini | ₽28.59/M | ₽229/M | ₽1 716 |
| Seed 1.6 | bytedance seed | ₽28.59/M | ₽229/M | ₽1 716 |
| Seed-2.0-Lite | bytedance seed | ₽28.59/M | ₽229/M | ₽1 716 |
| Skyfall 36B V2 | thedrummer | ₽62.91/M | ₽91.50/M | ₽1 716 |
| gpt 4.1 mini | openai | ₽45.75/M | ₽183/M | ₽1 830 |
| qwen3.6 plus | qwen | ₽37.17/M | ₽223/M | ₽1 859 |
| gemma 2 27b it | ₽74.34/M | ₽74.34/M | ₽1 859 | |
| glm 4.7 | z ai | ₽43.46/M | ₽199/M | ₽1 864 |
| gpt 3.5 turbo | openai | ₽57.19/M | ₽172/M | ₽2 002 |
| Hermes 3 70B Instruct | nousresearch | ₽80.06/M | ₽80.06/M | ₽2 002 |
| Large 3 2512 | mistralai | ₽57.19/M | ₽172/M | ₽2 002 |
| qwen3 vl 32b instruct | qwen | ₽57.19/M | ₽172/M | ₽2 002 |
| mistralai · mistral-medium-3 | mistralai | ₽45.75/M | ₽229/M | ₽2 059 |
| mistralai · mistral-medium-3.1 | mistralai | ₽45.75/M | ₽229/M | ₽2 059 |
| qwen3.5 27b | qwen | ₽29.74/M | ₽297/M | ₽2 082 |
| gemini 3.5 flash lite | ₽34.31/M | ₽286/M | ₽2 116 | |
| Nova 2 Lite | amazon | ₽34.31/M | ₽286/M | ₽2 116 |
| Kimi K2.5 | kimi k2.5 | ₽50.32/M | ₽229/M | ₽2 150 |
| minimax m1 | minimax | ₽45.75/M | ₽252/M | ₽2 173 |
| GigaChat | GigaChat | ₽89.70/M | ₽89.70/M | ₽2 243 |
| gigachat 2 | gigachat 2 | ₽89.70/M | ₽89.70/M | ₽2 243 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽53.04/M | ₽264/M | ₽2 379 |
| Aion-3.0-Mini | AionLabs | ₽80.06/M | ₽160/M | ₽2 402 |
| glm 4.5v | z ai | ₽68.62/M | ₽206/M | ₽2 402 |
| Virtuoso Large | arcee ai | ₽85.78/M | ₽137/M | ₽2 402 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽97.22/M | ₽97.22/M | ₽2 430 |
| Llama 3.3 Euryale 70B | sao10k | ₽97.22/M | ₽97.22/M | ₽2 430 |
| DeepSeek R1 | deepseek r1 | ₽62.91/M | ₽246/M | ₽2 488 |
| morph · morph-v3-fast | morph | ₽91.50/M | ₽137/M | ₽2 516 |
| qwen3.6 27b | qwen | ₽51.47/M | ₽309/M | ₽2 573 |
| Kimi K2 | kimi k2 | ₽65.19/M | ₽263/M | ₽2 619 |
| glm 4.6 | z ai | ₽68.62/M | ₽252/M | ₽2 631 |
| Llama 3.3 70B | llama 3.3 70b | ₽97.22/M | ₽137/M | ₽2 631 |
| Apply 3 | relace | ₽97.22/M | ₽143/M | ₽2 659 |
| Aion-2.0 | aion labs | ₽91.50/M | ₽183/M | ₽2 745 |
| Aion-RP 1.0 (8B) | aion labs | ₽91.50/M | ₽183/M | ₽2 745 |
| minimax m2.7 | minimax | ₽68.62/M | ₽274/M | ₽2 745 |
| Gemini 3 Flash | gemini 3 flash | ₽57.19/M | ₽343/M | ₽2 859 |
| Hermes 3 405B Instruct | nousresearch | ₽114/M | ₽114/M | ₽2 859 |
| Sonar | perplexity | ₽114/M | ₽114/M | ₽2 859 |
| morph · morph-v3-large | morph | ₽103/M | ₽217/M | ₽3 145 |
| Aiesa Mini | aiesa | ₽120/M | ₽170/M | ₽3 250 |
| kimi k2.6 | moonshotai | ₽68.62/M | ₽390/M | ₽3 323 |
| qwen3 coder plus | qwen | ₽74.34/M | ₽372/M | ₽3 345 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽56.69/M | ₽448/M | ₽3 372 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽84.64/M | ₽339/M | ₽3 385 |
| qwen3.5 122b a10b | qwen | ₽57.19/M | ₽457/M | ₽3 431 |
| grok build 0.1 | x ai | ₽114/M | ₽229/M | ₽3 431 |
| Nemotron 3 Ultra | nvidia | ₽68.62/M | ₽412/M | ₽3 431 |
| qwen3.5 397b a17b | qwen | ₽68.62/M | ₽412/M | ₽3 431 |
| Cogito v2.1 671B | deepcogito | ₽143/M | ₽143/M | ₽3 574 |
| Nova Pro | amazon | ₽91.50/M | ₽366/M | ₽3 660 |
| kimi k2.7 code | moonshotai | ₽86.92/M | ₽400/M | ₽3 740 |
| gpt 5.2 | openai | ₽65.64/M | ₽522/M | ₽3 924 |
| Hermes 4 405B | nousresearch | ₽114/M | ₽343/M | ₽4 003 |
| mimo v2.5 pro | mimo v2.5 pro | ₽114/M | ₽343/M | ₽4 003 |
| Search | relace | ₽114/M | ₽343/M | ₽4 003 |
| Qwen3 Max | qwen3 max | ₽89.21/M | ₽446/M | ₽4 015 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽74.59/M | ₽522/M | ₽4 103 |
| GLM-5 | glm 5 | ₽114/M | ₽366/M | ₽4 117 |
| gpt 5.4 mini | openai | ₽85.78/M | ₽515/M | ₽4 289 |
| grok 4.20 | x ai | ₽143/M | ₽286/M | ₽4 289 |
| grok 4.20 multi agent | x ai | ₽143/M | ₽286/M | ₽4 289 |
| grok 4.3 | x ai | ₽143/M | ₽286/M | ₽4 289 |
| gpt 5 codex | openai | ₽75.42/M | ₽603/M | ₽4 525 |
| gpt 5.1 codex | openai | ₽75.42/M | ₽603/M | ₽4 525 |
| Gemini 3 Pro | gemini 3 pro | ₽82.88/M | ₽580/M | ₽4 558 |
| Inkling | Thinking Machines | ₽114/M | ₽463/M | ₽4 604 |
| Palmyra X5 | writer | ₽68.62/M | ₽686/M | ₽4 804 |
| glm 5.2 | z ai | ₽120/M | ₽503/M | ₽4 918 |
| qwen3 coder | qwen | ₽112/M | ₽558/M | ₽5 018 |
| glm 5 turbo | z ai | ₽137/M | ₽457/M | ₽5 032 |
| glm 5v turbo | z ai | ₽137/M | ₽457/M | ₽5 032 |
| O3 Mini | o3 mini | ₽126/M | ₽503/M | ₽5 032 |
| o3 mini high | openai | ₽126/M | ₽503/M | ₽5 032 |
| O4 Mini | o4 mini | ₽126/M | ₽503/M | ₽5 032 |
| o4 mini high | openai | ₽126/M | ₽503/M | ₽5 032 |
| glm 5.1 | z ai | ₽160/M | ₽503/M | ₽5 719 |
| gpt 5.6 terra | openai | ₽114/M | ₽686/M | ₽5 719 |
| gpt 5.6 terra pro | openai | ₽114/M | ₽686/M | ₽5 719 |
| qwen3.6 35b a3b | qwen | ₽276/M | ₽69.00/M | ₽5 865 |
| Qwen3.6 Max | qwen3.6 max | ₽117/M | ₽705/M | ₽5 873 |
| qwen3.7 max | qwen | ₽169/M | ₽506/M | ₽5 905 |
| gpt 5.2 codex | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5.3 codex | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5.4 | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5 image mini | openai | ₽286/M | ₽229/M | ₽6 862 |
| GigaChat Plus | GigaChat Plus | ₽276/M | ₽276/M | ₽6 900 |
| YandexGPT 5 Lite | YandexGPT 5 Lite | ₽276/M | ₽276/M | ₽6 900 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽157/M | ₽791/M | ₽7 103 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽157/M | ₽791/M | ₽7 103 |
| gemini 3.6 flash | ₽172/M | ₽858/M | ₽7 720 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽172/M | ₽858/M | ₽7 720 |
| grok 4.5 | x ai | ₽229/M | ₽686/M | ₽8 006 |
| grok 4.6 | grok 4.6 | ₽229/M | ₽686/M | ₽8 006 |
| Mistral Large 2407 | Mistral large 2407 | ₽229/M | ₽686/M | ₽8 006 |
| mistralai · mistral-large | mistralai | ₽229/M | ₽686/M | ₽8 006 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽229/M | ₽686/M | ₽8 006 |
| Qwen 3.8 Max | alibaba | ₽229/M | ₽686/M | ₽8 006 |
| gpt 4o mini tts | openai | ₽68.62/M | ₽1 372/M | ₽8 235 |
| gemini 3.5 flash | ₽172/M | ₽1 029/M | ₽8 578 | |
| gpt 5.1 | openai | ₽143/M | ₽1 144/M | ₽8 578 |
| gpt 5.1 codex max | openai | ₽143/M | ₽1 144/M | ₽8 578 |
| GPT-5 | gpt 5 | ₽143/M | ₽1 144/M | ₽8 578 |
| gpt 4.1 | openai | ₽229/M | ₽915/M | ₽9 150 |
| Jamba Large 1.7 | ai21 | ₽229/M | ₽915/M | ₽9 150 |
| O3 | o3 | ₽229/M | ₽915/M | ₽9 150 |
| sonar deep research | perplexity | ₽229/M | ₽915/M | ₽9 150 |
| sonar reasoning pro | perplexity | ₽229/M | ₽915/M | ₽9 150 |
| gpt 3.5 turbo 16k | openai | ₽343/M | ₽457/M | ₽9 150 |
| Magnum v4 72B | anthracite org | ₽343/M | ₽572/M | ₽9 722 |
| Aiesa Pro | aiesa | ₽350/M | ₽600/M | ₽10 000 |
| claude sonnet 5 | anthropic | ₽229/M | ₽1 144/M | ₽10 294 |
| Aion-3.0 | AionLabs | ₽343/M | ₽686/M | ₽10 294 |
| Cohere Command A | cohere command a | ₽286/M | ₽1 144/M | ₽11 437 |
| Command R Plus | command r plus | ₽286/M | ₽1 144/M | ₽11 437 |
| gemini 3.1 pro preview customtools | ₽229/M | ₽1 372/M | ₽11 437 | |
| GPT-4o | gpt 4o | ₽286/M | ₽1 144/M | ₽11 437 |
| Claude Opus 4.5 | claude opus 4 5 | ₽264/M | ₽1 318/M | ₽11 860 |
| Claude Opus 4.6 | claude opus 4 6 | ₽264/M | ₽1 318/M | ₽11 860 |
| gpt 5.2 chat | openai | ₽200/M | ₽1 601/M | ₽12 009 |
| Nova Premier 1.0 | amazon | ₽286/M | ₽1 430/M | ₽12 867 |
| Claude Sonnet 4 | claude sonnet 4 | ₽343/M | ₽1 716/M | ₽15 441 |
| kimi k3 | moonshotai | ₽343/M | ₽1 716/M | ₽15 441 |
| sonar pro | perplexity | ₽343/M | ₽1 716/M | ₽15 441 |
| gigachat 2 pro | gigachat 2 pro | ₽690/M | ₽690/M | ₽17 250 |
| GigaChat Pro | GigaChat Pro | ₽690/M | ₽690/M | ₽17 250 |
| Alice AI LLM | aliceai llm | ₽690/M | ₽1 656/M | ₽22 080 |
| gigachat 2 max | gigachat 2 max | ₽897/M | ₽897/M | ₽22 425 |
| GigaChat Max | GigaChat Max | ₽897/M | ₽897/M | ₽22 425 |
| Claude Opus 4.7 | claude opus 4 7 | ₽572/M | ₽2 859/M | ₽25 734 |
| claude opus 5 | anthropic | ₽572/M | ₽2 859/M | ₽25 734 |
| YaGPT-5.1 Pro | yandexgpt 5.1 pro | ₽1 104/M | ₽1 104/M | ₽27 600 |
| claude opus 4.8 | anthropic | ₽629/M | ₽3 145/M | ₽28 308 |
| Fugu Ultra | sakana | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.5 | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.6 sol | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.6 sol pro | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 4 turbo | openai | ₽1 144/M | ₽3 431/M | ₽40 031 |
| YandexGPT 5 Pro | YandexGPT 5 Pro | ₽1 656/M | ₽1 656/M | ₽41 400 |
| claude fable 5 | anthropic | ₽1 144/M | ₽5 719/M | ₽51 468 |
| O1 | o1 | ₽1 716/M | ₽6 862/M | ₽68 625 |
| Claude Opus 4 | claude opus 4 | ₽1 716/M | ₽8 578/M | ₽77 203 |
| o3 pro | openai | ₽2 287/M | ₽9 150/M | ₽91 500 |
| gpt 4 | openai | ₽3 431/M | ₽6 862/M | ₽102 937 |
| gpt 5 pro | openai | ₽1 716/M | ₽13 725/M | ₽102 937 |
| gpt 5.2 pro | openai | ₽2 402/M | ₽19 215/M | ₽144 112 |
| gpt 5.4 pro | openai | ₽3 431/M | ₽20 587/M | ₽171 562 |
| gpt 5.5 pro | openai | ₽3 431/M | ₽20 587/M | ₽171 562 |
| o1 pro | openai | ₽17 156/M | ₽68 625/M | ₽686 246 |
Изображения
за изображение · 9
▼
Изображения
за изображение · 9
| Модель | Maker | Цена |
|---|---|---|
| Yandex Art | yandex art | ₽2.91/изобр. |
| gpt image 1.5 | openai | ₽3.00/изобр. |
| Qwen Image | qwen | ₽3.00/изобр. |
| GPT-5.4 Image 2 | openai | ₽4.00/изобр. |
| gemini 3.1 flash image | ₽4.80/изобр. | |
| Flux 2 Pro | black forest labs | ₽5.00/изобр. |
| Seedream 5.0 Pro | seedream | ₽5.00/изобр. |
| Topaz Upscale | topaz | ₽7.50/изобр. |
| FLUX.2 [flex] | black forest labs | ₽14.00/изобр. |
Видео и аудио
за секунду · 14
▼
Видео и аудио
за секунду · 14
| Модель | Maker | Цена |
|---|---|---|
| topaz video upscale | topaz video upscale | ₽6.00/сек |
| Seedance 2 Mini | bytedance | ₽11.00/сек |
| Kling 2.6 Motion Control | kling | ₽13.50/сек |
| Happy Horse 1.1 | alibaba | ₽14.62/сек |
| Kling 3.0 Motion Control | kling | ₽19.00/сек |
| Happy Horse | alibaba | ₽19.38/сек |
| Seedance 2 | seedance 2 | ₽22.27/сек |
| Kling 2.5 Turbo | kling | ₽31.50/сек |
| Gemini omni | gemini omni video | ₽35.00/сек |
| Kling 2.6 | kling | ₽42.00/сек |
| V3 | V3 | ₽45.00/сек |
| Wan 2.5 | Wan 2.5 | ₽45.00/сек |
| wan-2.6 | wan 2 6 | ₽52.50/сек |
| Seedance 1.5 Pro | bytedance | ₽135/сек |
Транскрипция
за минуту · 11
▼
Транскрипция
за минуту · 11
| Модель | Maker | Цена |
|---|---|---|
| Whisper Large V3 Turbo | openai | ₽0.05/мин |
| parakeet-tdt-0.6b-v3 | parakeet tdt 0 6b v3 | ₽0.11/мин |
| whisper large | whisper large | ₽0.11/мин |
| Aiesa Транскрипция | aiesa | ₽0.12/мин |
| Qwen3-ASR Flash | alibaba | ₽0.15/мин |
| Voxtral Mini Transcribe | Mistral | ₽0.22/мин |
| GigaAM-v3 | ai sage | ₽0.25/мин |
| GPT-4o Mini Transcribe | openai | ₽0.34/мин |
| whisper 1 | openai | ₽0.43/мин |
| GPT-4o Transcribe | openai | ₽0.69/мин |
| chirp 3 | chirp 3 | ₽1.15/мин |
Озвучка
за 1M символов · 8
▼
Озвучка
за 1M символов · 8
| Модель | Maker | Цена |
|---|---|---|
| tts 1 | openai | ₽1 716/1M симв. |
| mai voice 2 flash | mai voice 2 flash | ₽1 716/1M симв. |
| Gemini 3.1 Flash TTS | ₽2 287/1M симв. | |
| MAI-Voice-2 | microsoft | ₽2 516/1M симв. |
| Deepgram Aura 2 | deepgram | ₽3 431/1M симв. |
| tts 1 hd | openai | ₽3 431/1M симв. |
| MiniMax Speech 2.8 Turbo | minimax | ₽6 862/1M симв. |
| MiniMax Speech 2.8 HD | minimax | ₽11 437/1M симв. |
За запрос
фиксированная цена за вызов · 15
▼
За запрос
фиксированная цена за вызов · 15
| Модель | Maker | Цена |
|---|---|---|
| z image | z image | ₽1.40/вызов |
| Suno Sounds | suno | ₽2.00/вызов |
| Grok Imagine | x ai | ₽2.50/вызов |
| Seedream | seedream | ₽2.50/вызов |
| gemini 2.5 flash image | ₽2.90/вызов | |
| Seedream-4 | ByteDance | ₽3.00/вызов |
| Lyria 3 Clip Preview | ₽4.00/вызов | |
| Qwen Image 2 | qwen | ₽4.00/вызов |
| Seedream 5 Lite | bytedance | ₽4.00/вызов |
| gpt 5 image | openai | ₽4.50/вызов |
| Seedream 4.5 | bytedance | ₽5.00/вызов |
| Lyria 3 Pro Preview | ₽8.00/вызов | |
| Suno Mashup | suno | ₽10.00/вызов |
| Suno Music Generate | suno | ₽15.00/вызов |
| Veo 3 Text to Video | ₽45.00/вызов |
Текст и чат
оплата за токены · 294
▼
Текст и чат
оплата за токены · 294
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.46/M | ₽0.46/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.57/M | ₽0.57/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.57/M | ₽0.57/M | ₽11 |
| GTE-Base | Thenlper | ₽0.57/M | ₽0.57/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.57/M | ₽0.57/M | ₽11 |
| Bge M3 | baai | ₽1.14/M | ₽1.14/M | ₽23 |
| bge-large-en-v1.5 | baai | ₽1.14/M | ₽1.14/M | ₽23 |
| E5-Large-v2 | Intfloat | ₽1.14/M | ₽1.14/M | ₽23 |
| GTE-Large | Thenlper | ₽1.14/M | ₽1.14/M | ₽23 |
| Multilingual-E5-Large | Intfloat | ₽1.14/M | ₽1.14/M | ₽23 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.14/M | ₽1.14/M | ₽23 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.29/M | ₽2.29/M | ₽46 |
| text embedding 3 small | openai | ₽2.29/M | ₽2.29/M | ₽46 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.43/M | ₽3.43/M | ₽69 |
| Gemma 3 4B It | gemma 3 4b it | ₽1.95/M | ₽7.80/M | ₽78 |
| granite-4.0-h-micro | ibm granite | ₽1.94/M | ₽12.81/M | ₽103 |
| Llama 3 8B Lunaris | sao10k | ₽4.57/M | ₽5.72/M | ₽120 |
| gemma 3 12b it | ₽3.43/M | ₽11.44/M | ₽126 | |
| deepseek r1 distill llama 70b | deepseek | ₽3.43/M | ₽12.58/M | ₽132 |
| gemma 3 27b it | ₽3.43/M | ₽12.58/M | ₽132 | |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽3.43/M | ₽12.58/M | ₽132 |
| qwen 2.5 coder 32b instruct | qwen | ₽3.43/M | ₽12.58/M | ₽132 |
| qwen 2.5 7b instruct | qwen | ₽4.57/M | ₽11.44/M | ₽149 |
| Amazon Nova Micro | nova micro | ₽4.00/M | ₽16.01/M | ₽160 |
| Command R7B (12-2024) | cohere | ₽4.29/M | ₽17.16/M | ₽172 |
| Granite 4.1 8B | ibm granite | ₽5.72/M | ₽11.44/M | ₽172 |
| llama 3.2 1b:free | meta llama | ₽3.09/M | ₽22.99/M | ₽177 |
| gemma 3n e4b it | ₽6.86/M | ₽13.72/M | ₽206 | |
| Laguna XS 2.1 | poolside | ₽6.86/M | ₽13.72/M | ₽206 |
| Mistral Embed 2312 | Mistral | ₽11.44/M | ₽11.44/M | ₽229 |
| Text Embedding ADA | text embedding ada | ₽11.44/M | ₽11.44/M | ₽229 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽6.86/M | ₽20.59/M | ₽240 |
| Phi 4 | Microsoft | ₽8.01/M | ₽16.01/M | ₽240 |
| qwen3 14b | qwen | ₽5.72/M | ₽25.16/M | ₽240 |
| gpt oss 20b | openai | ₽8.01/M | ₽17.16/M | ₽246 |
| qwen3 30b a3b | qwen | ₽6.86/M | ₽25.16/M | ₽263 |
| Nova Lite | amazon | ₽6.86/M | ₽27.45/M | ₽274 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽6.86/M | ₽27.45/M | ₽274 |
| YandexGPT Embeddings — Doc | yandex | ₽14.03/M | ₽14.03/M | ₽281 |
| YandexGPT Embeddings — Query | yandex | ₽14.03/M | ₽14.03/M | ₽281 |
| Llama 3.1 8B | llama 3.1 8b | ₽11.44/M | ₽11.44/M | ₽286 |
| mistralai · ministral-3b-2512 | mistralai | ₽11.44/M | ₽11.44/M | ₽286 |
| Reka Edge | rekaai | ₽11.44/M | ₽11.44/M | ₽286 |
| Qwen3.5 Flash | alibaba | ₽7.43/M | ₽29.74/M | ₽297 |
| text embedding 3 large | openai | ₽14.87/M | ₽14.87/M | ₽297 |
| Llama 3.2 3B | llama 3.2 3b | ₽5.82/M | ₽38.32/M | ₽308 |
| qwen3.5 9b | qwen | ₽11.44/M | ₽17.16/M | ₽315 |
| gemma 4 26b a4b it | ₽6.86/M | ₽37.74/M | ₽326 | |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽8.01/M | ₽34.31/M | ₽332 |
| Codestral Embed 2505 | Mistral | ₽17.16/M | ₽17.16/M | ₽343 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽17.16/M | ₽17.16/M | ₽343 |
| gpt oss safeguard 20b | openai | ₽8.58/M | ₽34.31/M | ₽343 |
| GPT-5 Nano | gpt 5 nano | ₽5.72/M | ₽45.75/M | ₽343 |
| Laguna S 2.1 | Poolside | ₽11.44/M | ₽22.87/M | ₽343 |
| qwen3 32b | qwen | ₽9.15/M | ₽32.02/M | ₽343 |
| qwen3 8b | qwen | ₽5.72/M | ₽45.75/M | ₽343 |
| Seed 1.6 Flash | bytedance seed | ₽8.58/M | ₽34.31/M | ₽343 |
| UI-TARS 7B | ByteDance | ₽11.44/M | ₽22.87/M | ₽343 |
| glm 4.7 flash | z ai | ₽6.92/M | ₽45.75/M | ₽367 |
| Nemotron 3.5 Lightning | NVIDIA | ₽11.44/M | ₽28.59/M | ₽372 |
| Llama 4 Scout | llama 4 scout | ₽11.44/M | ₽34.31/M | ₽400 |
| Step 3.5 Flash | step 3.5 flash | ₽11.44/M | ₽34.31/M | ₽400 |
| Voxtral Small 24B 2507 | mistralai | ₽11.44/M | ₽34.31/M | ₽400 |
| mistralai · ministral-8b-2512 | mistralai | ₽17.16/M | ₽17.16/M | ₽429 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽11.44/M | ₽45.75/M | ₽457 |
| gpt 4.1 nano | openai | ₽11.44/M | ₽45.75/M | ₽457 |
| Seed-2.0-Mini | bytedance seed | ₽11.44/M | ₽45.75/M | ₽457 |
| Gemini Embedding 2 | gemini embedding 2 | ₽22.87/M | ₽22.87/M | ₽457 |
| Hermes 4 70B | nousresearch | ₽12.58/M | ₽43.46/M | ₽469 |
| deepseek v4 flash | deepseek | ₽16.01/M | ₽32.02/M | ₽480 |
| mimo v2.5 | mimo v2.5 | ₽16.01/M | ₽32.02/M | ₽480 |
| gemma 4 31b it | ₽13.72/M | ₽42.32/M | ₽486 | |
| llama guard 4 12b | meta llama | ₽20.59/M | ₽20.59/M | ₽515 |
| Ring-2.6-1T | inclusionai | ₽8.58/M | ₽71.48/M | ₽529 |
| gpt 5.6 luna | openai | ₽11.44/M | ₽68.62/M | ₽572 |
| gpt 5.6 luna pro | openai | ₽11.44/M | ₽68.62/M | ₽572 |
| mistralai · ministral-14b-2512 | mistralai | ₽22.87/M | ₽22.87/M | ₽572 |
| Hy3 | hy3 | ₽15.10/M | ₽60.39/M | ₽604 |
| Olmo 3 32B Think | allenai | ₽17.16/M | ₽57.19/M | ₽629 |
| hunyuan a13b | hunyuan a13b | ₽16.01/M | ₽65.19/M | ₽646 |
| gpt oss 120b | openai | ₽11.44/M | ₽85.78/M | ₽658 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.15/M | ₽89.21/M | ₽669 |
| qwen3 235b a22b 2507 | qwen | ₽17.10/M | ₽68.40/M | ₽684 |
| Command R | command r | ₽17.16/M | ₽68.62/M | ₽686 |
| glm 4.5 air | z ai | ₽17.16/M | ₽68.62/M | ₽686 |
| GPT-4o Mini | gpt 4o mini | ₽17.16/M | ₽68.62/M | ₽686 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽17.16/M | ₽68.62/M | ₽686 |
| qwen2.5 vl 72b instruct | qwen | ₽17.16/M | ₽68.62/M | ₽686 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽17.16/M | ₽68.62/M | ₽686 |
| Small 4 | mistralai | ₽17.16/M | ₽68.62/M | ₽686 |
| Solar Pro 3 | upstage | ₽17.16/M | ₽68.62/M | ₽686 |
| mistralai · mistral-saba | mistralai | ₽22.87/M | ₽68.62/M | ₽801 |
| deepseek v3.2 | deepseek | ₽29.74/M | ₽43.46/M | ₽812 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽13.43/M | ₽112/M | ₽828 |
| qwen3 30b a3b instruct 2507 | qwen | ₽21.73/M | ₽78.92/M | ₽829 |
| Rocinante 12B | thedrummer | ₽28.59/M | ₽57.19/M | ₽858 |
| mistralai · mistral-nemo | mistralai | ₽34.31/M | ₽34.31/M | ₽858 |
| qwen3.5 35b a3b | qwen | ₽15.90/M | ₽114/M | ₽890 |
| Llama 4 Maverick | llama 4 maverick | ₽22.87/M | ₽91.50/M | ₽915 |
| qwen3 coder next | qwen | ₽20.59/M | ₽103/M | ₽926 |
| Cydonia 24B V4.1 | thedrummer | ₽34.31/M | ₽57.19/M | ₽972 |
| DeepSeek Chat (V3) | deepseek chat | ₽24.70/M | ₽101/M | ₽997 |
| Mercury 2 | inception | ₽28.59/M | ₽85.78/M | ₽1 001 |
| qwen3 vl 8b instruct | qwen | ₽28.59/M | ₽85.78/M | ₽1 001 |
| qwen3 coder flash | qwen | ₽22.30/M | ₽112/M | ₽1 004 |
| minimax m2.5 | minimax | ₽25.73/M | ₽103/M | ₽1 029 |
| Trinity Large Preview | Arcee AI | ₽28.59/M | ₽91.50/M | ₽1 029 |
| Qwen Plus | qwen plus | ₽29.74/M | ₽89.21/M | ₽1 041 |
| qwen3.6 flash | qwen | ₽21.45/M | ₽129/M | ₽1 072 |
| minimax 01 | minimax | ₽22.87/M | ₽126/M | ₽1 087 |
| Step 3.7 Flash | step 3.7 flash | ₽22.87/M | ₽132/M | ₽1 115 |
| llama 3.1 70b | llama 3.1 70b | ₽45.75/M | ₽45.75/M | ₽1 144 |
| Mythomax L2 13B | Gryphe | ₽45.75/M | ₽45.75/M | ₽1 144 |
| UnslopNemo 12B | thedrummer | ₽45.75/M | ₽45.75/M | ₽1 144 |
| minimax m2 | minimax | ₽29.17/M | ₽114/M | ₽1 155 |
| gpt 5.4 nano | openai | ₽22.87/M | ₽143/M | ₽1 172 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽29.74/M | ₽119/M | ₽1 189 |
| glm 4.6v | z ai | ₽34.31/M | ₽103/M | ₽1 201 |
| mistralai · codestral-2508 | mistralai | ₽34.31/M | ₽103/M | ₽1 201 |
| Mk1 | perceptron | ₽17.16/M | ₽172/M | ₽1 201 |
| minimax m2.1 | minimax | ₽33.17/M | ₽109/M | ₽1 207 |
| deepseek chat v3.1 | deepseek | ₽34.31/M | ₽109/M | ₽1 230 |
| deepseek v3.1 terminus | deepseek | ₽34.31/M | ₽109/M | ₽1 230 |
| Claude 3 Haiku | Anthropic | ₽28.59/M | ₽143/M | ₽1 287 |
| KAT-Coder-Pro V1 | kwaipilot | ₽34.31/M | ₽137/M | ₽1 372 |
| minimax m2 her | minimax | ₽34.31/M | ₽137/M | ₽1 372 |
| minimax m3 | minimax | ₽34.31/M | ₽137/M | ₽1 372 |
| qwen 2.5 72b instruct | qwen | ₽34.31/M | ₽137/M | ₽1 372 |
| qwen3 235b a22b | qwen | ₽34.31/M | ₽137/M | ₽1 372 |
| WizardLM-2 8x22B | microsoft | ₽54.90/M | ₽54.90/M | ₽1 372 |
| ReMM-SLERP-L2-13B | undi95 | ₽51.47/M | ₽74.34/M | ₽1 401 |
| gemini 3.1 flash lite | ₽28.59/M | ₽172/M | ₽1 430 | |
| gemini 3.1 flash lite image | ₽28.59/M | ₽172/M | ₽1 430 | |
| qwen3.5 plus | qwen3.5 plus | ₽29.74/M | ₽178/M | ₽1 487 |
| deepseek v4 pro | deepseek | ₽49.75/M | ₽99.51/M | ₽1 493 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽33.45/M | ₽167/M | ₽1 505 |
| Weaver (alpha) | mancer | ₽57.19/M | ₽85.78/M | ₽1 573 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽48.04/M | ₽143/M | ₽1 676 |
| glm 4.5 | z ai | ₽40.03/M | ₽177/M | ₽1 687 |
| gpt 5.1 codex mini | openai | ₽28.59/M | ₽229/M | ₽1 716 |
| GPT-5 Mini | gpt 5 mini | ₽28.59/M | ₽229/M | ₽1 716 |
| Seed 1.6 | bytedance seed | ₽28.59/M | ₽229/M | ₽1 716 |
| Seed-2.0-Lite | bytedance seed | ₽28.59/M | ₽229/M | ₽1 716 |
| Skyfall 36B V2 | thedrummer | ₽62.91/M | ₽91.50/M | ₽1 716 |
| gpt 4.1 mini | openai | ₽45.75/M | ₽183/M | ₽1 830 |
| qwen3.6 plus | qwen | ₽37.17/M | ₽223/M | ₽1 859 |
| gemma 2 27b it | ₽74.34/M | ₽74.34/M | ₽1 859 | |
| glm 4.7 | z ai | ₽43.46/M | ₽199/M | ₽1 864 |
| gpt 3.5 turbo | openai | ₽57.19/M | ₽172/M | ₽2 002 |
| Hermes 3 70B Instruct | nousresearch | ₽80.06/M | ₽80.06/M | ₽2 002 |
| Large 3 2512 | mistralai | ₽57.19/M | ₽172/M | ₽2 002 |
| qwen3 vl 32b instruct | qwen | ₽57.19/M | ₽172/M | ₽2 002 |
| mistralai · mistral-medium-3 | mistralai | ₽45.75/M | ₽229/M | ₽2 059 |
| mistralai · mistral-medium-3.1 | mistralai | ₽45.75/M | ₽229/M | ₽2 059 |
| qwen3.5 27b | qwen | ₽29.74/M | ₽297/M | ₽2 082 |
| gemini 3.5 flash lite | ₽34.31/M | ₽286/M | ₽2 116 | |
| Nova 2 Lite | amazon | ₽34.31/M | ₽286/M | ₽2 116 |
| Kimi K2.5 | kimi k2.5 | ₽50.32/M | ₽229/M | ₽2 150 |
| minimax m1 | minimax | ₽45.75/M | ₽252/M | ₽2 173 |
| GigaChat | GigaChat | ₽89.70/M | ₽89.70/M | ₽2 243 |
| gigachat 2 | gigachat 2 | ₽89.70/M | ₽89.70/M | ₽2 243 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽53.04/M | ₽264/M | ₽2 379 |
| Aion-3.0-Mini | AionLabs | ₽80.06/M | ₽160/M | ₽2 402 |
| glm 4.5v | z ai | ₽68.62/M | ₽206/M | ₽2 402 |
| Virtuoso Large | arcee ai | ₽85.78/M | ₽137/M | ₽2 402 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽97.22/M | ₽97.22/M | ₽2 430 |
| Llama 3.3 Euryale 70B | sao10k | ₽97.22/M | ₽97.22/M | ₽2 430 |
| DeepSeek R1 | deepseek r1 | ₽62.91/M | ₽246/M | ₽2 488 |
| morph · morph-v3-fast | morph | ₽91.50/M | ₽137/M | ₽2 516 |
| qwen3.6 27b | qwen | ₽51.47/M | ₽309/M | ₽2 573 |
| Kimi K2 | kimi k2 | ₽65.19/M | ₽263/M | ₽2 619 |
| glm 4.6 | z ai | ₽68.62/M | ₽252/M | ₽2 631 |
| Llama 3.3 70B | llama 3.3 70b | ₽97.22/M | ₽137/M | ₽2 631 |
| Apply 3 | relace | ₽97.22/M | ₽143/M | ₽2 659 |
| Aion-2.0 | aion labs | ₽91.50/M | ₽183/M | ₽2 745 |
| Aion-RP 1.0 (8B) | aion labs | ₽91.50/M | ₽183/M | ₽2 745 |
| minimax m2.7 | minimax | ₽68.62/M | ₽274/M | ₽2 745 |
| Gemini 3 Flash | gemini 3 flash | ₽57.19/M | ₽343/M | ₽2 859 |
| Hermes 3 405B Instruct | nousresearch | ₽114/M | ₽114/M | ₽2 859 |
| Sonar | perplexity | ₽114/M | ₽114/M | ₽2 859 |
| morph · morph-v3-large | morph | ₽103/M | ₽217/M | ₽3 145 |
| Aiesa Mini | aiesa | ₽120/M | ₽170/M | ₽3 250 |
| kimi k2.6 | moonshotai | ₽68.62/M | ₽390/M | ₽3 323 |
| qwen3 coder plus | qwen | ₽74.34/M | ₽372/M | ₽3 345 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽56.69/M | ₽448/M | ₽3 372 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽84.64/M | ₽339/M | ₽3 385 |
| qwen3.5 122b a10b | qwen | ₽57.19/M | ₽457/M | ₽3 431 |
| grok build 0.1 | x ai | ₽114/M | ₽229/M | ₽3 431 |
| Nemotron 3 Ultra | nvidia | ₽68.62/M | ₽412/M | ₽3 431 |
| qwen3.5 397b a17b | qwen | ₽68.62/M | ₽412/M | ₽3 431 |
| Cogito v2.1 671B | deepcogito | ₽143/M | ₽143/M | ₽3 574 |
| Nova Pro | amazon | ₽91.50/M | ₽366/M | ₽3 660 |
| kimi k2.7 code | moonshotai | ₽86.92/M | ₽400/M | ₽3 740 |
| gpt 5.2 | openai | ₽65.64/M | ₽522/M | ₽3 924 |
| Hermes 4 405B | nousresearch | ₽114/M | ₽343/M | ₽4 003 |
| mimo v2.5 pro | mimo v2.5 pro | ₽114/M | ₽343/M | ₽4 003 |
| Search | relace | ₽114/M | ₽343/M | ₽4 003 |
| Qwen3 Max | qwen3 max | ₽89.21/M | ₽446/M | ₽4 015 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽74.59/M | ₽522/M | ₽4 103 |
| GLM-5 | glm 5 | ₽114/M | ₽366/M | ₽4 117 |
| gpt 5.4 mini | openai | ₽85.78/M | ₽515/M | ₽4 289 |
| grok 4.20 | x ai | ₽143/M | ₽286/M | ₽4 289 |
| grok 4.20 multi agent | x ai | ₽143/M | ₽286/M | ₽4 289 |
| grok 4.3 | x ai | ₽143/M | ₽286/M | ₽4 289 |
| gpt 5 codex | openai | ₽75.42/M | ₽603/M | ₽4 525 |
| gpt 5.1 codex | openai | ₽75.42/M | ₽603/M | ₽4 525 |
| Gemini 3 Pro | gemini 3 pro | ₽82.88/M | ₽580/M | ₽4 558 |
| Inkling | Thinking Machines | ₽114/M | ₽463/M | ₽4 604 |
| Palmyra X5 | writer | ₽68.62/M | ₽686/M | ₽4 804 |
| glm 5.2 | z ai | ₽120/M | ₽503/M | ₽4 918 |
| qwen3 coder | qwen | ₽112/M | ₽558/M | ₽5 018 |
| glm 5 turbo | z ai | ₽137/M | ₽457/M | ₽5 032 |
| glm 5v turbo | z ai | ₽137/M | ₽457/M | ₽5 032 |
| O3 Mini | o3 mini | ₽126/M | ₽503/M | ₽5 032 |
| o3 mini high | openai | ₽126/M | ₽503/M | ₽5 032 |
| O4 Mini | o4 mini | ₽126/M | ₽503/M | ₽5 032 |
| o4 mini high | openai | ₽126/M | ₽503/M | ₽5 032 |
| glm 5.1 | z ai | ₽160/M | ₽503/M | ₽5 719 |
| gpt 5.6 terra | openai | ₽114/M | ₽686/M | ₽5 719 |
| gpt 5.6 terra pro | openai | ₽114/M | ₽686/M | ₽5 719 |
| qwen3.6 35b a3b | qwen | ₽276/M | ₽69.00/M | ₽5 865 |
| Qwen3.6 Max | qwen3.6 max | ₽117/M | ₽705/M | ₽5 873 |
| qwen3.7 max | qwen | ₽169/M | ₽506/M | ₽5 905 |
| gpt 5.2 codex | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5.3 codex | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5.4 | openai | ₽105/M | ₽844/M | ₽6 327 |
| gpt 5 image mini | openai | ₽286/M | ₽229/M | ₽6 862 |
| GigaChat Plus | GigaChat Plus | ₽276/M | ₽276/M | ₽6 900 |
| YandexGPT 5 Lite | YandexGPT 5 Lite | ₽276/M | ₽276/M | ₽6 900 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽157/M | ₽791/M | ₽7 103 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽157/M | ₽791/M | ₽7 103 |
| gemini 3.6 flash | ₽172/M | ₽858/M | ₽7 720 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽172/M | ₽858/M | ₽7 720 |
| grok 4.5 | x ai | ₽229/M | ₽686/M | ₽8 006 |
| grok 4.6 | grok 4.6 | ₽229/M | ₽686/M | ₽8 006 |
| Mistral Large 2407 | Mistral large 2407 | ₽229/M | ₽686/M | ₽8 006 |
| mistralai · mistral-large | mistralai | ₽229/M | ₽686/M | ₽8 006 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽229/M | ₽686/M | ₽8 006 |
| Qwen 3.8 Max | alibaba | ₽229/M | ₽686/M | ₽8 006 |
| gpt 4o mini tts | openai | ₽68.62/M | ₽1 372/M | ₽8 235 |
| gemini 3.5 flash | ₽172/M | ₽1 029/M | ₽8 578 | |
| gpt 5.1 | openai | ₽143/M | ₽1 144/M | ₽8 578 |
| gpt 5.1 codex max | openai | ₽143/M | ₽1 144/M | ₽8 578 |
| GPT-5 | gpt 5 | ₽143/M | ₽1 144/M | ₽8 578 |
| gpt 4.1 | openai | ₽229/M | ₽915/M | ₽9 150 |
| Jamba Large 1.7 | ai21 | ₽229/M | ₽915/M | ₽9 150 |
| O3 | o3 | ₽229/M | ₽915/M | ₽9 150 |
| sonar deep research | perplexity | ₽229/M | ₽915/M | ₽9 150 |
| sonar reasoning pro | perplexity | ₽229/M | ₽915/M | ₽9 150 |
| gpt 3.5 turbo 16k | openai | ₽343/M | ₽457/M | ₽9 150 |
| Magnum v4 72B | anthracite org | ₽343/M | ₽572/M | ₽9 722 |
| Aiesa Pro | aiesa | ₽350/M | ₽600/M | ₽10 000 |
| claude sonnet 5 | anthropic | ₽229/M | ₽1 144/M | ₽10 294 |
| Aion-3.0 | AionLabs | ₽343/M | ₽686/M | ₽10 294 |
| Cohere Command A | cohere command a | ₽286/M | ₽1 144/M | ₽11 437 |
| Command R Plus | command r plus | ₽286/M | ₽1 144/M | ₽11 437 |
| gemini 3.1 pro preview customtools | ₽229/M | ₽1 372/M | ₽11 437 | |
| GPT-4o | gpt 4o | ₽286/M | ₽1 144/M | ₽11 437 |
| Claude Opus 4.5 | claude opus 4 5 | ₽264/M | ₽1 318/M | ₽11 860 |
| Claude Opus 4.6 | claude opus 4 6 | ₽264/M | ₽1 318/M | ₽11 860 |
| gpt 5.2 chat | openai | ₽200/M | ₽1 601/M | ₽12 009 |
| Nova Premier 1.0 | amazon | ₽286/M | ₽1 430/M | ₽12 867 |
| Claude Sonnet 4 | claude sonnet 4 | ₽343/M | ₽1 716/M | ₽15 441 |
| kimi k3 | moonshotai | ₽343/M | ₽1 716/M | ₽15 441 |
| sonar pro | perplexity | ₽343/M | ₽1 716/M | ₽15 441 |
| gigachat 2 pro | gigachat 2 pro | ₽690/M | ₽690/M | ₽17 250 |
| GigaChat Pro | GigaChat Pro | ₽690/M | ₽690/M | ₽17 250 |
| Alice AI LLM | aliceai llm | ₽690/M | ₽1 656/M | ₽22 080 |
| gigachat 2 max | gigachat 2 max | ₽897/M | ₽897/M | ₽22 425 |
| GigaChat Max | GigaChat Max | ₽897/M | ₽897/M | ₽22 425 |
| Claude Opus 4.7 | claude opus 4 7 | ₽572/M | ₽2 859/M | ₽25 734 |
| claude opus 5 | anthropic | ₽572/M | ₽2 859/M | ₽25 734 |
| YaGPT-5.1 Pro | yandexgpt 5.1 pro | ₽1 104/M | ₽1 104/M | ₽27 600 |
| claude opus 4.8 | anthropic | ₽629/M | ₽3 145/M | ₽28 308 |
| Fugu Ultra | sakana | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.5 | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.6 sol | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 5.6 sol pro | openai | ₽572/M | ₽3 431/M | ₽28 594 |
| gpt 4 turbo | openai | ₽1 144/M | ₽3 431/M | ₽40 031 |
| YandexGPT 5 Pro | YandexGPT 5 Pro | ₽1 656/M | ₽1 656/M | ₽41 400 |
| claude fable 5 | anthropic | ₽1 144/M | ₽5 719/M | ₽51 468 |
| O1 | o1 | ₽1 716/M | ₽6 862/M | ₽68 625 |
| Claude Opus 4 | claude opus 4 | ₽1 716/M | ₽8 578/M | ₽77 203 |
| o3 pro | openai | ₽2 287/M | ₽9 150/M | ₽91 500 |
| gpt 4 | openai | ₽3 431/M | ₽6 862/M | ₽102 937 |
| gpt 5 pro | openai | ₽1 716/M | ₽13 725/M | ₽102 937 |
| gpt 5.2 pro | openai | ₽2 402/M | ₽19 215/M | ₽144 112 |
| gpt 5.4 pro | openai | ₽3 431/M | ₽20 587/M | ₽171 562 |
| gpt 5.5 pro | openai | ₽3 431/M | ₽20 587/M | ₽171 562 |
| o1 pro | openai | ₽17 156/M | ₽68 625/M | ₽686 246 |
Изображения
за изображение · 9
▼
Изображения
за изображение · 9
| Модель | Maker | Цена |
|---|---|---|
| Yandex Art | yandex art | ₽2.91/изобр. |
| gpt image 1.5 | openai | ₽3.00/изобр. |
| Qwen Image | qwen | ₽3.00/изобр. |
| GPT-5.4 Image 2 | openai | ₽4.00/изобр. |
| gemini 3.1 flash image | ₽4.80/изобр. | |
| Flux 2 Pro | black forest labs | ₽5.00/изобр. |
| Seedream 5.0 Pro | seedream | ₽5.00/изобр. |
| Topaz Upscale | topaz | ₽7.50/изобр. |
| FLUX.2 [flex] | black forest labs | ₽14.00/изобр. |
Видео и аудио
за секунду · 14
▼
Видео и аудио
за секунду · 14
| Модель | Maker | Цена |
|---|---|---|
| topaz video upscale | topaz video upscale | ₽6.00/сек |
| Seedance 2 Mini | bytedance | ₽11.00/сек |
| Kling 2.6 Motion Control | kling | ₽13.50/сек |
| Happy Horse 1.1 | alibaba | ₽14.62/сек |
| Kling 3.0 Motion Control | kling | ₽19.00/сек |
| Happy Horse | alibaba | ₽19.38/сек |
| Seedance 2 | seedance 2 | ₽22.27/сек |
| Kling 2.5 Turbo | kling | ₽31.50/сек |
| Gemini omni | gemini omni video | ₽35.00/сек |
| Kling 2.6 | kling | ₽42.00/сек |
| V3 | V3 | ₽45.00/сек |
| Wan 2.5 | Wan 2.5 | ₽45.00/сек |
| wan-2.6 | wan 2 6 | ₽52.50/сек |
| Seedance 1.5 Pro | bytedance | ₽135/сек |
Транскрипция
за минуту · 11
▼
Транскрипция
за минуту · 11
| Модель | Maker | Цена |
|---|---|---|
| Whisper Large V3 Turbo | openai | ₽0.05/мин |
| parakeet-tdt-0.6b-v3 | parakeet tdt 0 6b v3 | ₽0.11/мин |
| whisper large | whisper large | ₽0.11/мин |
| Aiesa Транскрипция | aiesa | ₽0.12/мин |
| Qwen3-ASR Flash | alibaba | ₽0.15/мин |
| Voxtral Mini Transcribe | Mistral | ₽0.22/мин |
| GigaAM-v3 | ai sage | ₽0.25/мин |
| GPT-4o Mini Transcribe | openai | ₽0.34/мин |
| whisper 1 | openai | ₽0.43/мин |
| GPT-4o Transcribe | openai | ₽0.69/мин |
| chirp 3 | chirp 3 | ₽1.15/мин |
Озвучка
за 1M символов · 8
▼
Озвучка
за 1M символов · 8
| Модель | Maker | Цена |
|---|---|---|
| tts 1 | openai | ₽1 716/1M симв. |
| mai voice 2 flash | mai voice 2 flash | ₽1 716/1M симв. |
| Gemini 3.1 Flash TTS | ₽2 287/1M симв. | |
| MAI-Voice-2 | microsoft | ₽2 516/1M симв. |
| Deepgram Aura 2 | deepgram | ₽3 431/1M симв. |
| tts 1 hd | openai | ₽3 431/1M симв. |
| MiniMax Speech 2.8 Turbo | minimax | ₽6 862/1M симв. |
| MiniMax Speech 2.8 HD | minimax | ₽11 437/1M симв. |
За запрос
фиксированная цена за вызов · 15
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За запрос
фиксированная цена за вызов · 15
| Модель | Maker | Цена |
|---|---|---|
| z image | z image | ₽1.40/вызов |
| Suno Sounds | suno | ₽2.00/вызов |
| Grok Imagine | x ai | ₽2.50/вызов |
| Seedream | seedream | ₽2.50/вызов |
| gemini 2.5 flash image | ₽2.90/вызов | |
| Seedream-4 | ByteDance | ₽3.00/вызов |
| Lyria 3 Clip Preview | ₽4.00/вызов | |
| Qwen Image 2 | qwen | ₽4.00/вызов |
| Seedream 5 Lite | bytedance | ₽4.00/вызов |
| gpt 5 image | openai | ₽4.50/вызов |
| Seedream 4.5 | bytedance | ₽5.00/вызов |
| Lyria 3 Pro Preview | ₽8.00/вызов | |
| Suno Mashup | suno | ₽10.00/вызов |
| Suno Music Generate | suno | ₽15.00/вызов |
| Veo 3 Text to Video | ₽45.00/вызов |
О провайдере
О сервисе
Polza позиционирует себя как «№1 LLM-агрегатор в России» — ставка на скорость старта, ширину каталога и enterprise-ready инфраструктуру. Первый запрос за 3 шага: регистрация → пополнение → API-ключ. Подходит командам, которым нужен один договор и счёт на сотни моделей, а не отдельные ключи у OpenAI, Anthropic и Google.
Как сравнивать на AI-APISHKA
Polza часто конкурентен по ₽/1M — проверьте на странице модели. Сравнивайте с RouterAI и Zveno (если есть подписка Zveno).
Частые вопросы
- Polza — один из самых дешёвых ₽-агрегаторов?
- На сайте заявлена «лучшая цена в РФ» на подключение к API иностранных моделей — сверяйте ₽/1M на AI-APISHKA для конкретной модели.
- Что происходит при сбое модели у Polza?
- Сервис заявляет мониторинг провайдеров и автоматический fallback — запрос перенаправляется на резервный upstream.
- Сколько моделей у Polza в API?
- На сайте заявлено 400+ моделей через единый endpoint — текст, код, image, video, audio, embeddings.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Polza предлагает 353 моделей AI API. Средняя цена — ₽409/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.46/M (pplx-embed-v1-0.6b).
Сравните цены на Whisper Large V3 Turbo , parakeet-tdt-0.6b-v3 , whisper large , Aiesa Транскрипция и Qwen3-ASR Flash у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.