VseGPT
Сайт ↗120+ нейросетей, аптайм 99% и подписка от 199 ₽/мес
- Моделей
- 204
- Средняя цена
- ₽867/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), СБП
- 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 = 71.9077 ₽ · 1 CNY = 10.6064 ₽ · 12.06.2026
204 моделей
Текст и чат
оплата за токены · 204
▼
Текст и чат
оплата за токены · 204
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| command r7b 12 2024 | cohere | ₽10.00/M | ₽25.00/M | ₽325 |
| Llama 3.2 3B Preview | meta llama | ₽15.00/M | ₽15.00/M | ₽375 |
| Nova Micro V1 | amazon | ₽12.00/M | ₽30.00/M | ₽390 |
| qwen3 14b | qwen | ₽12.00/M | ₽33.00/M | ₽405 |
| Qwen Turbo | qwen turbo | ₽16.00/M | ₽35.00/M | ₽495 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽15.00/M | ₽40.00/M | ₽500 |
| Devstral Small (25-07) | Mistral | ₽15.00/M | ₽45.00/M | ₽525 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽15.00/M | ₽45.00/M | ₽525 |
| qwen3 30b a3b | qwen | ₽15.00/M | ₽55.00/M | ₽575 |
| qwen3 32b | qwen | ₽15.00/M | ₽55.00/M | ₽575 |
| gpt oss 20b | openai | ₽14.00/M | ₽60.00/M | ₽580 |
| Gemini Flash 1.5 (отключена, перенаправляется в Gemini 2.5 Flash Lite) | ₽17.00/M | ₽50.00/M | ₽590 | |
| gemini 2.5 flash lite | ₽15.00/M | ₽60.00/M | ₽600 | |
| gpt 4.1 nano | openai | ₽15.00/M | ₽60.00/M | ₽600 |
| Nova Lite V1 | amazon | ₽20.00/M | ₽40.00/M | ₽600 |
| gpt oss 120b | openai | ₽15.00/M | ₽65.00/M | ₽625 |
| Gemini 2.5 Flash Preview (c 16 июля отключена, перенаправляется в 2.5 Flash) | ₽18.00/M | ₽70.00/M | ₽710 | |
| hermes-4-70b | nousresearch | ₽20.00/M | ₽70.00/M | ₽750 |
| gpt 4o mini | openai | ₽20.00/M | ₽80.00/M | ₽800 |
| Llama 3.1 8B | llama 3.1 8b | ₽27.00/M | ₽60.00/M | ₽840 |
| llama 4 scout | meta llama | ₽22.00/M | ₽80.00/M | ₽840 |
| llama 3 8b instruct | meta llama | ₽35.00/M | ₽35.00/M | ₽875 |
| gpt 5 nano | openai | ₽15.00/M | ₽120/M | ₽900 |
| deepseek chat | deepseek | ₽30.00/M | ₽60.00/M | ₽900 |
| Command R | command r | ₽25.00/M | ₽90.00/M | ₽950 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽40.00/M | ₽40.00/M | ₽1 000 |
| Mythomax L2 13B | Gryphe | ₽40.00/M | ₽40.00/M | ₽1 000 |
| qwen3 coder next | qwen | ₽22.00/M | ₽120/M | ₽1 040 |
| deepseek coder | deepseek coder | ₽40.00/M | ₽50.00/M | ₽1 050 |
| MiMo V2 Flash | mimo v2 flash | ₽30.00/M | ₽90.00/M | ₽1 050 |
| deepseek v4 flash | deepseek | ₽36.00/M | ₽72.00/M | ₽1 080 |
| Mixtral 8x7B Instruct | Mistral | ₽45.00/M | ₽45.00/M | ₽1 125 |
| rocinante-12b | thedrummer | ₽40.00/M | ₽75.00/M | ₽1 175 |
| Gemini 2.5 Flash Lite Preview 09-2025 (Thinking) | ₽30.00/M | ₽120/M | ₽1 200 | |
| llama 4 maverick | meta llama | ₽30.00/M | ₽120/M | ₽1 200 |
| qwen3 30b a3b instruct 2507 | qwen | ₽30.00/M | ₽120/M | ₽1 200 |
| deepseek v3.2 | deepseek | ₽45.00/M | ₽70.00/M | ₽1 250 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽45.00/M | ₽70.00/M | ₽1 250 |
| mistralai · mistral-nemo | mistralai | ₽50.00/M | ₽50.00/M | ₽1 250 |
| qwen 2.5 coder 32b instruct | qwen | ₽50.00/M | ₽50.00/M | ₽1 250 |
| qwen3 235b a22b | qwen | ₽35.00/M | ₽120/M | ₽1 300 |
| gemma 3 27b it | ₽50.00/M | ₽80.00/M | ₽1 400 | |
| glm 4.5 air | z ai | ₽30.00/M | ₽160/M | ₽1 400 |
| gemma 4 26b a4b it | ₽40.00/M | ₽130/M | ₽1 450 | |
| Qwen3 Next 80B A3B | Qwen | ₽22.00/M | ₽220/M | ₽1 540 |
| deepseek r1 distill llama 70b | deepseek | ₽40.00/M | ₽150/M | ₽1 550 |
| gemma 4 31b it | ₽45.00/M | ₽130/M | ₽1 550 | |
| minimax 01 | minimax | ₽30.00/M | ₽200/M | ₽1 600 |
| QwQ 32B | Qwen | ₽60.00/M | ₽80.00/M | ₽1 600 |
| claude 3 haiku | anthropic | ₽37.50/M | ₽188/M | ₽1 688 |
| Grok Code Fast 1 | grok code fast 1 | ₽30.00/M | ₽220/M | ₽1 700 |
| minimax m2 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.1 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.5 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.7 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| qwen3 coder flash | qwen | ₽45.00/M | ₽220/M | ₽2 000 |
| Llama 3.3 70B | Llama 3.3 70B | ₽80.00/M | ₽80.00/M | ₽2 000 |
| qwen plus | qwen | ₽60.00/M | ₽180/M | ₽2 100 |
| gpt 5 mini | openai | ₽37.00/M | ₽300/M | ₽2 240 |
| gpt 4.1 mini | openai | ₽60.00/M | ₽240/M | ₽2 400 |
| qwen3.6 35b a3b | qwen | ₽45.00/M | ₽300/M | ₽2 400 |
| DeepSeek V3.1 671B (альт провайдер) | deepseek | ₽70.00/M | ₽220/M | ₽2 500 |
| DeepSeek V3.1 Terminus 671B (альт провайдер) | deepseek | ₽70.00/M | ₽220/M | ₽2 500 |
| gemma 2 27b it | ₽100/M | ₽100/M | ₽2 500 | |
| OMF R IlyaGusev · saiga_llama3_8b | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| Saiga Gemma 3 12B (российский разработчик) | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| SAINEMO-reMIX (микс русскоязычных моделей) | OMF R Moraliane | ₽100/M | ₽100/M | ₽2 500 |
| Vikhr-Llama3.1-8B-Instruct-R-21-09-24 (российский разработчик) | OMF R Vikhr Llama3.1 8B Instruct R 21 09 24 | ₽100/M | ₽100/M | ₽2 500 |
| Vikhr-Nemo-12B-Instruct-R-21-09-24 (российский разработчик) | OMF R Vikhr Nemo 12B Instruct R 21 09 24 | ₽100/M | ₽100/M | ₽2 500 |
| Сайга MistralNemo 12B v1 (российский разработчик) | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| Devstral Medium | Mistral | ₽60.00/M | ₽300/M | ₽2 700 |
| Llama 4 Scout (SuperFast, порядка 1000-2000 токенов в секунду!) | meta llama | ₽100/M | ₽140/M | ₽2 700 |
| mistralai · mistral-medium-3 | mistralai | ₽60.00/M | ₽300/M | ₽2 700 |
| mistralai · mistral-medium-3.1 | mistralai | ₽60.00/M | ₽300/M | ₽2 700 |
| gpt 5.4 nano | openai | ₽60.00/M | ₽350/M | ₽2 950 |
| GPT-5.4 Nano (Thinking XHigh) | OpenAI | ₽60.00/M | ₽350/M | ₽2 950 |
| deepseek r1 | deepseek | ₽75.00/M | ₽300/M | ₽3 000 |
| llama 3.1 70b | together | ₽120/M | ₽120/M | ₽3 000 |
| Qwen3.5 Plus | qwen3.5 plus | ₽60.00/M | ₽360/M | ₽3 000 |
| DeepSeek V3.2 671B (альт провайдер, быстрее) | deepseek | ₽90.00/M | ₽250/M | ₽3 050 |
| kimi k2 | moonshotai | ₽75.00/M | ₽350/M | ₽3 250 |
| minimax m1 | minimax | ₽80.00/M | ₽330/M | ₽3 250 |
| llama 3 70b instruct | meta llama | ₽135/M | ₽135/M | ₽3 375 |
| glm 4.5 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| glm 4.6 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| glm 4.7 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| Aion-2.0 (ролеплей модель на базе Deepseek 3.2, размышляющая) | AionLabs | ₽120/M | ₽240/M | ₽3 600 |
| minimax m3 | minimax | ₽90.00/M | ₽360/M | ₽3 600 |
| Llama 3.3 70B Instruct (SuperFast, порядка 1000-2000 токенов в секунду) | meta llama | ₽140/M | ₽180/M | ₽3 700 |
| gemini 3.1 flash lite | ₽75.00/M | ₽450/M | ₽3 750 | |
| Gemini 3.1 Flash Lite Preview (Thinking High) | ₽75.00/M | ₽450/M | ₽3 750 | |
| Forgotten Abomination 24B V2.2 | OMF Forgotten Abomination 24B V2.2 | ₽150/M | ₽150/M | ₽3 750 |
| Gemma 3 27B (abliterated alt) | OMF gemma3 27b abliterated dpo | ₽150/M | ₽150/M | ₽3 750 |
| Gemma 3 27B (abliterated) | OMF Gemma3 27B abliterated | ₽150/M | ₽150/M | ₽3 750 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽150/M | ₽150/M | ₽3 750 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽150/M | ₽150/M | ₽3 750 |
| Pantheon RP 1.8 24b | OMF Pantheon RP 1.8 24b Small 3.1 | ₽150/M | ₽150/M | ₽3 750 |
| Sonar | perplexity | ₽150/M | ₽150/M | ₽3 750 |
| Wizardlm 2 8x22b | microsoft | ₽150/M | ₽150/M | ₽3 750 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽75.00/M | ₽570/M | ₽4 350 |
| gpt 5.1 codex mini | openai | ₽80.00/M | ₽560/M | ₽4 400 |
| deepseek v4 pro | deepseek | ₽150/M | ₽300/M | ₽4 500 |
| gpt 3.5 turbo | openai | ₽150/M | ₽300/M | ₽4 500 |
| Hamanasu QwQ 32B V2 RP | OMF Hamanasu QwQ 32B V2 RP | ₽180/M | ₽180/M | ₽4 500 |
| qwen3.5 397b a17b | qwen | ₽90.00/M | ₽540/M | ₽4 500 |
| QwQ 32B (abliterated) | OMF QwQ 32B abliterated | ₽180/M | ₽180/M | ₽4 500 |
| qwen3.7 plus | qwen | ₽120/M | ₽480/M | ₽4 800 |
| glm 5 | z ai | ₽150/M | ₽390/M | ₽4 950 |
| hermes-4-405b | nousresearch | ₽150/M | ₽450/M | ₽5 250 |
| MiMo V2 Omni | mimo v2 omni | ₽120/M | ₽600/M | ₽5 400 |
| Euryale-v2.1-70B | sao10k | ₽220/M | ₽220/M | ₽5 500 |
| Llama 3.3 70B Instruct (с поддержкой structured outputs) | meta llama | ₽220/M | ₽220/M | ₽5 500 |
| Nova Pro V1 | amazon | ₽150/M | ₽500/M | ₽5 500 |
| Qwen2.5 72B Instruct (с поддержкой structured outputs) | qwen | ₽220/M | ₽220/M | ₽5 500 |
| gemini 2.5 flash | ₽90.00/M | ₽750/M | ₽5 550 | |
| Sonar Reasoning (на базе DeepSeek R1) | Perplexity | ₽130/M | ₽700/M | ₽6 100 |
| EVA Qwen2.5-72B v0.0 | OMF EVA Qwen2.5 72B v0.0 | ₽250/M | ₽250/M | ₽6 250 |
| EVA Qwen2.5-72B v0.1 | OMF EVA Qwen2.5 72B v0.1 | ₽250/M | ₽250/M | ₽6 250 |
| l3.1-euryale-70b | sao10k | ₽250/M | ₽250/M | ₽6 250 |
| l3.3-euryale-70b | sao10k | ₽250/M | ₽250/M | ₽6 250 |
| MG-FinalMix-72B (Magnum-72B based) | OMF Undi95 | ₽250/M | ₽250/M | ₽6 250 |
| Qwen2.5-72B-Instruct-abliterated | OMF Qwen2.5 72B Instruct abliterated | ₽250/M | ₽250/M | ₽6 250 |
| Smaug Qwen2 72B Instruct | OMF abacusai | ₽250/M | ₽250/M | ₽6 250 |
| Tess v2.5.2 Qwen2 72B | OMF Tess v2.5.2 Qwen2 72B | ₽250/M | ₽250/M | ₽6 250 |
| claude 3.5 haiku | anthropic | ₽140/M | ₽700/M | ₽6 300 |
| claude haiku 4.5 | anthropic | ₽140/M | ₽700/M | ₽6 300 |
| gemini 3 flash | gemini 3 flash | ₽150/M | ₽900/M | ₽7 500 |
| Gemini 3 Flash Preview (Thinking) | ₽150/M | ₽900/M | ₽7 500 | |
| qwen3 coder | qwen | ₽300/M | ₽300/M | ₽7 500 |
| kimi k2.5 | moonshotai | ₽180/M | ₽900/M | ₽8 100 |
| Qwen3 Coder 480B A35B (с поддержкой tools) | qwen | ₽300/M | ₽470/M | ₽8 350 |
| qwen3 max | qwen | ₽180/M | ₽950/M | ₽8 350 |
| Qwen3.5 Plus (от 2026-02-15, версия на 1M контекста) | Qwen | ₽180/M | ₽1 000/M | ₽8 600 |
| gpt 5 | openai | ₽150/M | ₽1 300/M | ₽9 500 |
| gpt 5 chat | openai | ₽150/M | ₽1 300/M | ₽9 500 |
| gpt 5.4 mini | openai | ₽200/M | ₽1 200/M | ₽10 000 |
| GPT-5.4 Mini (Thinking) | OpenAI | ₽200/M | ₽1 200/M | ₽10 000 |
| MiMo V2 Pro | mimo v2 pro | ₽300/M | ₽900/M | ₽10 500 |
| grok 4.3 | x ai | ₽370/M | ₽740/M | ₽11 100 |
| gpt 4.1 | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o3 mini | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o3 mini high | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o4 mini | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o4 mini high | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| kimi k2.6 | moonshotai | ₽270/M | ₽1 200/M | ₽11 400 |
| Kimi K2.7 Code | kimi k2.7 code | ₽270/M | ₽1 200/M | ₽11 400 |
| gpt 3.5 turbo 16k | openai | ₽450/M | ₽600/M | ₽12 000 |
| gpt 4o | openai | ₽300/M | ₽1 200/M | ₽12 000 |
| sonar reasoning pro | perplexity | ₽300/M | ₽1 200/M | ₽12 000 |
| gemini 2.5 pro | ₽180/M | ₽1 900/M | ₽13 100 | |
| glm 5.1 | z ai | ₽400/M | ₽1 300/M | ₽14 500 |
| qwen 2.5 72b instruct | qwen | ₽600/M | ₽600/M | ₽15 000 |
| Command R Plus | command r plus | ₽380/M | ₽1 500/M | ₽15 100 |
| Mistral Large 2 (версия 2411) | Mistral | ₽450/M | ₽1 350/M | ₽15 750 |
| mistralai · mistral-large | mistralai | ₽450/M | ₽1 350/M | ₽15 750 |
| NVIDIA Nemotron 4 340B Instruct | nvidia | ₽630/M | ₽630/M | ₽15 750 |
| hermes-3-llama-3.1-405b | nousresearch | ₽700/M | ₽700/M | ₽17 500 |
| claude sonnet 4 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| claude sonnet 4.5 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| claude sonnet 4.6 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| sonar pro | perplexity | ₽450/M | ₽2 200/M | ₽20 000 |
| Grok 3 | grok 3 | ₽450/M | ₽2 250/M | ₽20 250 |
| grok 4.20 | x ai | ₽600/M | ₽1 800/M | ₽21 000 |
| gpt 5.1 | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 chat | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 codex | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 codex max | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5 codex | openai | ₽370/M | ₽3 000/M | ₽22 400 |
| gpt 5 codex high | gpt 5 codex high | ₽370/M | ₽3 000/M | ₽22 400 |
| gemini 3.5 flash | ₽450/M | ₽2 700/M | ₽22 500 | |
| Gemini 3.5 Flash (Thinking High) | ₽450/M | ₽2 700/M | ₽22 500 | |
| Gemini 3.5 Flash (Thinking Minimal) | ₽450/M | ₽2 700/M | ₽22 500 | |
| O3 | openai | ₽600/M | ₽2 400/M | ₽24 000 |
| o1 mini | o1 mini | ₽600/M | ₽2 700/M | ₽25 500 |
| qwen3.7 max | qwen | ₽750/M | ₽2 250/M | ₽26 250 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽550/M | ₽3 300/M | ₽27 500 |
| gpt 5.2 | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 chat | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| GPT 5.2 High | gpt 5.2 high | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 xhigh | gpt 5.2 xhigh | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.3 chat | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 codex | openai | ₽520/M | ₽3 900/M | ₽29 900 |
| gpt 5.3 codex | openai | ₽520/M | ₽3 900/M | ₽29 900 |
| GPT-5.3 Codex (Thinking, X-high) | OpenAI | ₽520/M | ₽3 900/M | ₽29 900 |
| claude opus 4.5 | anthropic | ₽750/M | ₽3 400/M | ₽32 000 |
| claude opus 4.6 | anthropic | ₽750/M | ₽3 400/M | ₽32 000 |
| gpt 5.4 | openai | ₽700/M | ₽4 200/M | ₽35 000 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽700/M | ₽4 200/M | ₽35 000 |
| Gemini 3.1 Pro Preview (версия на 1М контекста) | ₽1 100/M | ₽4 950/M | ₽46 750 | |
| gpt 4 turbo | openai | ₽1 500/M | ₽4 500/M | ₽52 500 |
| claude opus 4.7 | anthropic | ₽1 200/M | ₽6 700/M | ₽57 500 |
| claude opus 4.8 | anthropic | ₽1 200/M | ₽6 700/M | ₽57 500 |
| GPT-5.4 (1M контекста) | OpenAI | ₽1 400/M | ₽6 300/M | ₽59 500 |
| gpt 5.5 | openai | ₽1 500/M | ₽9 000/M | ₽75 000 |
| claude opus 4 | anthropic | ₽2 000/M | ₽10 000/M | ₽90 000 |
| gpt 4 | openai | ₽4 500/M | ₽9 000/M | ₽135 000 |
| O1 | openai | ₽3 500/M | ₽14 000/M | ₽140 000 |
| gpt 5 pro | openai | ₽4 500/M | ₽28 000/M | ₽230 000 |
| GPT 4 32K | gpt 4 32k | ₽9 000/M | ₽18 000/M | ₽270 000 |
| gpt 5.2 pro | openai | ₽6 000/M | ₽45 000/M | ₽345 000 |
| GPT-5.2 Pro (Thinking High) | OpenAI | ₽6 000/M | ₽45 000/M | ₽345 000 |
| gpt 5.4 pro | openai | ₽9 000/M | ₽54 000/M | ₽450 000 |
| gpt 5.5 pro | openai | ₽9 000/M | ₽54 000/M | ₽450 000 |
| GPT-5.4 Pro (Thinking High) | OpenAI | ₽9 000/M | ₽54 000/M | ₽450 000 |
Текст и чат
оплата за токены · 204
▼
Текст и чат
оплата за токены · 204
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| command r7b 12 2024 | cohere | ₽10.00/M | ₽25.00/M | ₽325 |
| Llama 3.2 3B Preview | meta llama | ₽15.00/M | ₽15.00/M | ₽375 |
| Nova Micro V1 | amazon | ₽12.00/M | ₽30.00/M | ₽390 |
| qwen3 14b | qwen | ₽12.00/M | ₽33.00/M | ₽405 |
| Qwen Turbo | qwen turbo | ₽16.00/M | ₽35.00/M | ₽495 |
| gemini 1.5 flash 8b | gemini 1.5 flash 8b | ₽15.00/M | ₽40.00/M | ₽500 |
| Devstral Small (25-07) | Mistral | ₽15.00/M | ₽45.00/M | ₽525 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽15.00/M | ₽45.00/M | ₽525 |
| qwen3 30b a3b | qwen | ₽15.00/M | ₽55.00/M | ₽575 |
| qwen3 32b | qwen | ₽15.00/M | ₽55.00/M | ₽575 |
| gpt oss 20b | openai | ₽14.00/M | ₽60.00/M | ₽580 |
| Gemini Flash 1.5 (отключена, перенаправляется в Gemini 2.5 Flash Lite) | ₽17.00/M | ₽50.00/M | ₽590 | |
| gemini 2.5 flash lite | ₽15.00/M | ₽60.00/M | ₽600 | |
| gpt 4.1 nano | openai | ₽15.00/M | ₽60.00/M | ₽600 |
| Nova Lite V1 | amazon | ₽20.00/M | ₽40.00/M | ₽600 |
| gpt oss 120b | openai | ₽15.00/M | ₽65.00/M | ₽625 |
| Gemini 2.5 Flash Preview (c 16 июля отключена, перенаправляется в 2.5 Flash) | ₽18.00/M | ₽70.00/M | ₽710 | |
| hermes-4-70b | nousresearch | ₽20.00/M | ₽70.00/M | ₽750 |
| gpt 4o mini | openai | ₽20.00/M | ₽80.00/M | ₽800 |
| Llama 3.1 8B | llama 3.1 8b | ₽27.00/M | ₽60.00/M | ₽840 |
| llama 4 scout | meta llama | ₽22.00/M | ₽80.00/M | ₽840 |
| llama 3 8b instruct | meta llama | ₽35.00/M | ₽35.00/M | ₽875 |
| gpt 5 nano | openai | ₽15.00/M | ₽120/M | ₽900 |
| deepseek chat | deepseek | ₽30.00/M | ₽60.00/M | ₽900 |
| Command R | command r | ₽25.00/M | ₽90.00/M | ₽950 |
| Llama 3.1 Sonar Small 128K Online | llama 3.1 sonar small 128k online | ₽40.00/M | ₽40.00/M | ₽1 000 |
| Mythomax L2 13B | Gryphe | ₽40.00/M | ₽40.00/M | ₽1 000 |
| qwen3 coder next | qwen | ₽22.00/M | ₽120/M | ₽1 040 |
| deepseek coder | deepseek coder | ₽40.00/M | ₽50.00/M | ₽1 050 |
| MiMo V2 Flash | mimo v2 flash | ₽30.00/M | ₽90.00/M | ₽1 050 |
| deepseek v4 flash | deepseek | ₽36.00/M | ₽72.00/M | ₽1 080 |
| Mixtral 8x7B Instruct | Mistral | ₽45.00/M | ₽45.00/M | ₽1 125 |
| rocinante-12b | thedrummer | ₽40.00/M | ₽75.00/M | ₽1 175 |
| Gemini 2.5 Flash Lite Preview 09-2025 (Thinking) | ₽30.00/M | ₽120/M | ₽1 200 | |
| llama 4 maverick | meta llama | ₽30.00/M | ₽120/M | ₽1 200 |
| qwen3 30b a3b instruct 2507 | qwen | ₽30.00/M | ₽120/M | ₽1 200 |
| deepseek v3.2 | deepseek | ₽45.00/M | ₽70.00/M | ₽1 250 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽45.00/M | ₽70.00/M | ₽1 250 |
| mistralai · mistral-nemo | mistralai | ₽50.00/M | ₽50.00/M | ₽1 250 |
| qwen 2.5 coder 32b instruct | qwen | ₽50.00/M | ₽50.00/M | ₽1 250 |
| qwen3 235b a22b | qwen | ₽35.00/M | ₽120/M | ₽1 300 |
| gemma 3 27b it | ₽50.00/M | ₽80.00/M | ₽1 400 | |
| glm 4.5 air | z ai | ₽30.00/M | ₽160/M | ₽1 400 |
| gemma 4 26b a4b it | ₽40.00/M | ₽130/M | ₽1 450 | |
| Qwen3 Next 80B A3B | Qwen | ₽22.00/M | ₽220/M | ₽1 540 |
| deepseek r1 distill llama 70b | deepseek | ₽40.00/M | ₽150/M | ₽1 550 |
| gemma 4 31b it | ₽45.00/M | ₽130/M | ₽1 550 | |
| minimax 01 | minimax | ₽30.00/M | ₽200/M | ₽1 600 |
| QwQ 32B | Qwen | ₽60.00/M | ₽80.00/M | ₽1 600 |
| claude 3 haiku | anthropic | ₽37.50/M | ₽188/M | ₽1 688 |
| Grok Code Fast 1 | grok code fast 1 | ₽30.00/M | ₽220/M | ₽1 700 |
| minimax m2 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.1 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.5 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| minimax m2.7 | minimax | ₽45.00/M | ₽180/M | ₽1 800 |
| qwen3 coder flash | qwen | ₽45.00/M | ₽220/M | ₽2 000 |
| Llama 3.3 70B | Llama 3.3 70B | ₽80.00/M | ₽80.00/M | ₽2 000 |
| qwen plus | qwen | ₽60.00/M | ₽180/M | ₽2 100 |
| gpt 5 mini | openai | ₽37.00/M | ₽300/M | ₽2 240 |
| gpt 4.1 mini | openai | ₽60.00/M | ₽240/M | ₽2 400 |
| qwen3.6 35b a3b | qwen | ₽45.00/M | ₽300/M | ₽2 400 |
| DeepSeek V3.1 671B (альт провайдер) | deepseek | ₽70.00/M | ₽220/M | ₽2 500 |
| DeepSeek V3.1 Terminus 671B (альт провайдер) | deepseek | ₽70.00/M | ₽220/M | ₽2 500 |
| gemma 2 27b it | ₽100/M | ₽100/M | ₽2 500 | |
| OMF R IlyaGusev · saiga_llama3_8b | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| Saiga Gemma 3 12B (российский разработчик) | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| SAINEMO-reMIX (микс русскоязычных моделей) | OMF R Moraliane | ₽100/M | ₽100/M | ₽2 500 |
| Vikhr-Llama3.1-8B-Instruct-R-21-09-24 (российский разработчик) | OMF R Vikhr Llama3.1 8B Instruct R 21 09 24 | ₽100/M | ₽100/M | ₽2 500 |
| Vikhr-Nemo-12B-Instruct-R-21-09-24 (российский разработчик) | OMF R Vikhr Nemo 12B Instruct R 21 09 24 | ₽100/M | ₽100/M | ₽2 500 |
| Сайга MistralNemo 12B v1 (российский разработчик) | OMF R IlyaGusev | ₽100/M | ₽100/M | ₽2 500 |
| Devstral Medium | Mistral | ₽60.00/M | ₽300/M | ₽2 700 |
| Llama 4 Scout (SuperFast, порядка 1000-2000 токенов в секунду!) | meta llama | ₽100/M | ₽140/M | ₽2 700 |
| mistralai · mistral-medium-3 | mistralai | ₽60.00/M | ₽300/M | ₽2 700 |
| mistralai · mistral-medium-3.1 | mistralai | ₽60.00/M | ₽300/M | ₽2 700 |
| gpt 5.4 nano | openai | ₽60.00/M | ₽350/M | ₽2 950 |
| GPT-5.4 Nano (Thinking XHigh) | OpenAI | ₽60.00/M | ₽350/M | ₽2 950 |
| deepseek r1 | deepseek | ₽75.00/M | ₽300/M | ₽3 000 |
| llama 3.1 70b | together | ₽120/M | ₽120/M | ₽3 000 |
| Qwen3.5 Plus | qwen3.5 plus | ₽60.00/M | ₽360/M | ₽3 000 |
| DeepSeek V3.2 671B (альт провайдер, быстрее) | deepseek | ₽90.00/M | ₽250/M | ₽3 050 |
| kimi k2 | moonshotai | ₽75.00/M | ₽350/M | ₽3 250 |
| minimax m1 | minimax | ₽80.00/M | ₽330/M | ₽3 250 |
| llama 3 70b instruct | meta llama | ₽135/M | ₽135/M | ₽3 375 |
| glm 4.5 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| glm 4.6 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| glm 4.7 | z ai | ₽90.00/M | ₽320/M | ₽3 400 |
| Aion-2.0 (ролеплей модель на базе Deepseek 3.2, размышляющая) | AionLabs | ₽120/M | ₽240/M | ₽3 600 |
| minimax m3 | minimax | ₽90.00/M | ₽360/M | ₽3 600 |
| Llama 3.3 70B Instruct (SuperFast, порядка 1000-2000 токенов в секунду) | meta llama | ₽140/M | ₽180/M | ₽3 700 |
| gemini 3.1 flash lite | ₽75.00/M | ₽450/M | ₽3 750 | |
| Gemini 3.1 Flash Lite Preview (Thinking High) | ₽75.00/M | ₽450/M | ₽3 750 | |
| Forgotten Abomination 24B V2.2 | OMF Forgotten Abomination 24B V2.2 | ₽150/M | ₽150/M | ₽3 750 |
| Gemma 3 27B (abliterated alt) | OMF gemma3 27b abliterated dpo | ₽150/M | ₽150/M | ₽3 750 |
| Gemma 3 27B (abliterated) | OMF Gemma3 27B abliterated | ₽150/M | ₽150/M | ₽3 750 |
| Llama 3.1 Sonar Large 128K Online | llama 3.1 sonar large 128k online | ₽150/M | ₽150/M | ₽3 750 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽150/M | ₽150/M | ₽3 750 |
| Pantheon RP 1.8 24b | OMF Pantheon RP 1.8 24b Small 3.1 | ₽150/M | ₽150/M | ₽3 750 |
| Sonar | perplexity | ₽150/M | ₽150/M | ₽3 750 |
| Wizardlm 2 8x22b | microsoft | ₽150/M | ₽150/M | ₽3 750 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽75.00/M | ₽570/M | ₽4 350 |
| gpt 5.1 codex mini | openai | ₽80.00/M | ₽560/M | ₽4 400 |
| deepseek v4 pro | deepseek | ₽150/M | ₽300/M | ₽4 500 |
| gpt 3.5 turbo | openai | ₽150/M | ₽300/M | ₽4 500 |
| Hamanasu QwQ 32B V2 RP | OMF Hamanasu QwQ 32B V2 RP | ₽180/M | ₽180/M | ₽4 500 |
| qwen3.5 397b a17b | qwen | ₽90.00/M | ₽540/M | ₽4 500 |
| QwQ 32B (abliterated) | OMF QwQ 32B abliterated | ₽180/M | ₽180/M | ₽4 500 |
| qwen3.7 plus | qwen | ₽120/M | ₽480/M | ₽4 800 |
| glm 5 | z ai | ₽150/M | ₽390/M | ₽4 950 |
| hermes-4-405b | nousresearch | ₽150/M | ₽450/M | ₽5 250 |
| MiMo V2 Omni | mimo v2 omni | ₽120/M | ₽600/M | ₽5 400 |
| Euryale-v2.1-70B | sao10k | ₽220/M | ₽220/M | ₽5 500 |
| Llama 3.3 70B Instruct (с поддержкой structured outputs) | meta llama | ₽220/M | ₽220/M | ₽5 500 |
| Nova Pro V1 | amazon | ₽150/M | ₽500/M | ₽5 500 |
| Qwen2.5 72B Instruct (с поддержкой structured outputs) | qwen | ₽220/M | ₽220/M | ₽5 500 |
| gemini 2.5 flash | ₽90.00/M | ₽750/M | ₽5 550 | |
| Sonar Reasoning (на базе DeepSeek R1) | Perplexity | ₽130/M | ₽700/M | ₽6 100 |
| EVA Qwen2.5-72B v0.0 | OMF EVA Qwen2.5 72B v0.0 | ₽250/M | ₽250/M | ₽6 250 |
| EVA Qwen2.5-72B v0.1 | OMF EVA Qwen2.5 72B v0.1 | ₽250/M | ₽250/M | ₽6 250 |
| l3.1-euryale-70b | sao10k | ₽250/M | ₽250/M | ₽6 250 |
| l3.3-euryale-70b | sao10k | ₽250/M | ₽250/M | ₽6 250 |
| MG-FinalMix-72B (Magnum-72B based) | OMF Undi95 | ₽250/M | ₽250/M | ₽6 250 |
| Qwen2.5-72B-Instruct-abliterated | OMF Qwen2.5 72B Instruct abliterated | ₽250/M | ₽250/M | ₽6 250 |
| Smaug Qwen2 72B Instruct | OMF abacusai | ₽250/M | ₽250/M | ₽6 250 |
| Tess v2.5.2 Qwen2 72B | OMF Tess v2.5.2 Qwen2 72B | ₽250/M | ₽250/M | ₽6 250 |
| claude 3.5 haiku | anthropic | ₽140/M | ₽700/M | ₽6 300 |
| claude haiku 4.5 | anthropic | ₽140/M | ₽700/M | ₽6 300 |
| gemini 3 flash | gemini 3 flash | ₽150/M | ₽900/M | ₽7 500 |
| Gemini 3 Flash Preview (Thinking) | ₽150/M | ₽900/M | ₽7 500 | |
| qwen3 coder | qwen | ₽300/M | ₽300/M | ₽7 500 |
| kimi k2.5 | moonshotai | ₽180/M | ₽900/M | ₽8 100 |
| Qwen3 Coder 480B A35B (с поддержкой tools) | qwen | ₽300/M | ₽470/M | ₽8 350 |
| qwen3 max | qwen | ₽180/M | ₽950/M | ₽8 350 |
| Qwen3.5 Plus (от 2026-02-15, версия на 1M контекста) | Qwen | ₽180/M | ₽1 000/M | ₽8 600 |
| gpt 5 | openai | ₽150/M | ₽1 300/M | ₽9 500 |
| gpt 5 chat | openai | ₽150/M | ₽1 300/M | ₽9 500 |
| gpt 5.4 mini | openai | ₽200/M | ₽1 200/M | ₽10 000 |
| GPT-5.4 Mini (Thinking) | OpenAI | ₽200/M | ₽1 200/M | ₽10 000 |
| MiMo V2 Pro | mimo v2 pro | ₽300/M | ₽900/M | ₽10 500 |
| grok 4.3 | x ai | ₽370/M | ₽740/M | ₽11 100 |
| gpt 4.1 | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o3 mini | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o3 mini high | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o4 mini | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| o4 mini high | openai | ₽280/M | ₽1 120/M | ₽11 200 |
| kimi k2.6 | moonshotai | ₽270/M | ₽1 200/M | ₽11 400 |
| Kimi K2.7 Code | kimi k2.7 code | ₽270/M | ₽1 200/M | ₽11 400 |
| gpt 3.5 turbo 16k | openai | ₽450/M | ₽600/M | ₽12 000 |
| gpt 4o | openai | ₽300/M | ₽1 200/M | ₽12 000 |
| sonar reasoning pro | perplexity | ₽300/M | ₽1 200/M | ₽12 000 |
| gemini 2.5 pro | ₽180/M | ₽1 900/M | ₽13 100 | |
| glm 5.1 | z ai | ₽400/M | ₽1 300/M | ₽14 500 |
| qwen 2.5 72b instruct | qwen | ₽600/M | ₽600/M | ₽15 000 |
| Command R Plus | command r plus | ₽380/M | ₽1 500/M | ₽15 100 |
| Mistral Large 2 (версия 2411) | Mistral | ₽450/M | ₽1 350/M | ₽15 750 |
| mistralai · mistral-large | mistralai | ₽450/M | ₽1 350/M | ₽15 750 |
| NVIDIA Nemotron 4 340B Instruct | nvidia | ₽630/M | ₽630/M | ₽15 750 |
| hermes-3-llama-3.1-405b | nousresearch | ₽700/M | ₽700/M | ₽17 500 |
| claude sonnet 4 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| claude sonnet 4.5 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| claude sonnet 4.6 | anthropic | ₽400/M | ₽2 000/M | ₽18 000 |
| sonar pro | perplexity | ₽450/M | ₽2 200/M | ₽20 000 |
| Grok 3 | grok 3 | ₽450/M | ₽2 250/M | ₽20 250 |
| grok 4.20 | x ai | ₽600/M | ₽1 800/M | ₽21 000 |
| gpt 5.1 | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 chat | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 codex | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5.1 codex max | openai | ₽370/M | ₽2 800/M | ₽21 400 |
| gpt 5 codex | openai | ₽370/M | ₽3 000/M | ₽22 400 |
| gpt 5 codex high | gpt 5 codex high | ₽370/M | ₽3 000/M | ₽22 400 |
| gemini 3.5 flash | ₽450/M | ₽2 700/M | ₽22 500 | |
| Gemini 3.5 Flash (Thinking High) | ₽450/M | ₽2 700/M | ₽22 500 | |
| Gemini 3.5 Flash (Thinking Minimal) | ₽450/M | ₽2 700/M | ₽22 500 | |
| O3 | openai | ₽600/M | ₽2 400/M | ₽24 000 |
| o1 mini | o1 mini | ₽600/M | ₽2 700/M | ₽25 500 |
| qwen3.7 max | qwen | ₽750/M | ₽2 250/M | ₽26 250 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽550/M | ₽3 300/M | ₽27 500 |
| gpt 5.2 | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 chat | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| GPT 5.2 High | gpt 5.2 high | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 xhigh | gpt 5.2 xhigh | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.3 chat | openai | ₽480/M | ₽3 800/M | ₽28 600 |
| gpt 5.2 codex | openai | ₽520/M | ₽3 900/M | ₽29 900 |
| gpt 5.3 codex | openai | ₽520/M | ₽3 900/M | ₽29 900 |
| GPT-5.3 Codex (Thinking, X-high) | OpenAI | ₽520/M | ₽3 900/M | ₽29 900 |
| claude opus 4.5 | anthropic | ₽750/M | ₽3 400/M | ₽32 000 |
| claude opus 4.6 | anthropic | ₽750/M | ₽3 400/M | ₽32 000 |
| gpt 5.4 | openai | ₽700/M | ₽4 200/M | ₽35 000 |
| gpt 5.4 xhigh | gpt 5.4 xhigh | ₽700/M | ₽4 200/M | ₽35 000 |
| Gemini 3.1 Pro Preview (версия на 1М контекста) | ₽1 100/M | ₽4 950/M | ₽46 750 | |
| gpt 4 turbo | openai | ₽1 500/M | ₽4 500/M | ₽52 500 |
| claude opus 4.7 | anthropic | ₽1 200/M | ₽6 700/M | ₽57 500 |
| claude opus 4.8 | anthropic | ₽1 200/M | ₽6 700/M | ₽57 500 |
| GPT-5.4 (1M контекста) | OpenAI | ₽1 400/M | ₽6 300/M | ₽59 500 |
| gpt 5.5 | openai | ₽1 500/M | ₽9 000/M | ₽75 000 |
| claude opus 4 | anthropic | ₽2 000/M | ₽10 000/M | ₽90 000 |
| gpt 4 | openai | ₽4 500/M | ₽9 000/M | ₽135 000 |
| O1 | openai | ₽3 500/M | ₽14 000/M | ₽140 000 |
| gpt 5 pro | openai | ₽4 500/M | ₽28 000/M | ₽230 000 |
| GPT 4 32K | gpt 4 32k | ₽9 000/M | ₽18 000/M | ₽270 000 |
| gpt 5.2 pro | openai | ₽6 000/M | ₽45 000/M | ₽345 000 |
| GPT-5.2 Pro (Thinking High) | OpenAI | ₽6 000/M | ₽45 000/M | ₽345 000 |
| gpt 5.4 pro | openai | ₽9 000/M | ₽54 000/M | ₽450 000 |
| gpt 5.5 pro | openai | ₽9 000/M | ₽54 000/M | ₽450 000 |
| GPT-5.4 Pro (Thinking High) | OpenAI | ₽9 000/M | ₽54 000/M | ₽450 000 |
О провайдере
О сервисе
VseGPT делает ставку на прозрачность и «без головной боли»: бесплатные кредиты до оплаты, опубликованный аптайм, точная тарификация до 0,0001 копейки. Заявлено ~99% успешных запросов при 100+ сетях. Память ChatGPT и веб-поиск по умолчанию отключены — меньше «рекламных» ответов. Подходит инди-разработчикам и командам, которым нужен и чат, и API.
Как сравнивать на AI-APISHKA
Сравнивайте ₽/1M с GPTunnel и RouterAI. Учитывайте подписку 199 ₽/мес — она снижает effective cost для активных пользователей чата.
Частые вопросы
- VseGPT хранит тексты моих запросов?
- Сервис не хранит тексты запросов — только статистику символов для биллинга. История чатов — в браузере пользователя.
- Нужна ли привязка карты в VseGPT?
- Нет — разовые пополнения через агрегаторы Onpay/Робокасса; внутренний счёт, нельзя потратить больше баланса.
- Где смотреть аптайм моделей VseGPT?
- На отдельной странице сайта — статистика за последний час и 24 часа по популярным моделям и сервису в целом.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
VseGPT предлагает 204 моделей AI API. Средняя цена — ₽867/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽10.00/M (command r7b 12 2024).
Сравните цены на command r7b 12 2024 , Llama 3.2 3B Preview , Nova Micro V1 , qwen3 14b и Qwen Turbo у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.06.2026.