AI Модели

Используйте 300+ моделей от OpenAI, Anthropic, Google и других через единый API

memory 346 моделей
free_breakfast 30 бесплатных
business 58 провайдеров
Qwen: Qwen3 Next 80B A3B Instruct (free)
qwen/qwen3-next-80b-a3b-instruct:free
free_breakfast Free Reasoning
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...
Ввод
Free
Вывод
Free
data_array 262K context
Qwen: Qwen3 Next 80B A3B Thinking
qwen/qwen3-next-80b-a3b-thinking
Reasoning
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...
Ввод
1 610/M so'm
$0.13
Вывод
12 878/M so'm
$1.01
data_array 262K context
Qwen: Qwen3 VL 235B A22B Instruct
qwen/qwen3-vl-235b-a22b-instruct
Vision
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
Ввод
3 302/M so'm
$0.26
Вывод
14 529/M so'm
$1.14
data_array 262K context
Qwen: Qwen3 VL 235B A22B Thinking
qwen/qwen3-vl-235b-a22b-thinking
Reasoning
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....
Ввод
4 293/M so'm
$0.34
Вывод
42 926/M so'm
$3.38
data_array 131K context
Qwen: Qwen3 VL 30B A3B Instruct
qwen/qwen3-vl-30b-a3b-instruct
Vision
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
Ввод
2 146/M so'm
$0.17
Вывод
8 585/M so'm
$0.68
data_array 262K context
Qwen: Qwen3 VL 30B A3B Thinking
qwen/qwen3-vl-30b-a3b-thinking
Reasoning
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...
Ввод
2 146/M so'm
$0.17
Вывод
25 756/M so'm
$2.03
data_array 131K context
Qwen: Qwen3 VL 32B Instruct
qwen/qwen3-vl-32b-instruct
Reasoning
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Ввод
1 717/M so'm
$0.14
Вывод
6 868/M so'm
$0.54
data_array 262K context
Qwen: Qwen3 VL 8B Instruct
qwen/qwen3-vl-8b-instruct
Reasoning
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
Ввод
1 321/M so'm
$0.10
Вывод
8 255/M so'm
$0.65
data_array 256K context
Qwen: Qwen3 VL 8B Thinking
qwen/qwen3-vl-8b-thinking
Reasoning
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
Ввод
1 932/M so'm
$0.15
Вывод
22 536/M so'm
$1.77
data_array 256K context
Qwen: Qwen3.5 397B A17B
qwen/qwen3.5-397b-a17b
Vision
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Ввод
6 356/M so'm
$0.50
Вывод
40 450/M so'm
$3.19
data_array 256K context
Qwen: Qwen3.5 Plus 2026-02-15
qwen/qwen3.5-plus-02-15
Vision
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Ввод
4 293/M so'm
$0.34
Вывод
25 756/M so'm
$2.03
data_array 1,000K context
Qwen: Qwen3.5 Plus 2026-04-20
qwen/qwen3.5-plus-20260420
Vision
Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...
Ввод
4 953/M so'm
$0.39
Вывод
29 718/M so'm
$2.34
data_array 1,000K context
Qwen: Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10b
Vision
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Ввод
4 293/M so'm
$0.34
Вывод
34 341/M so'm
$2.70
data_array 262K context
Qwen: Qwen3.5-27B
qwen/qwen3.5-27b
Vision
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Ввод
3 219/M so'm
$0.25
Вывод
25 756/M so'm
$2.03
data_array 262K context
Qwen: Qwen3.5-35B-A3B
qwen/qwen3.5-35b-a3b
Vision
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...
Ввод
2 311/M so'm
$0.18
Вывод
16 510/M so'm
$1.30
data_array 262K context
Qwen: Qwen3.5-9B
qwen/qwen3.5-9b
Reasoning
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Ввод
1 651/M so'm
$0.13
Вывод
2 477/M so'm
$0.20
data_array 262K context
Qwen: Qwen3.5-Flash
qwen/qwen3.5-flash-02-23
Vision
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Ввод
1 073/M so'm
$0.08
Вывод
4 293/M so'm
$0.34
data_array 1,000K context
Qwen: Qwen3.6 27B
qwen/qwen3.6-27b
Vision
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Ввод
4 763/M so'm
$0.38
Вывод
52 337/M so'm
$4.12
data_array 262K context
Qwen: Qwen3.6 35B A3B
qwen/qwen3.6-35b-a3b
Vision
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Ввод
2 311/M so'm
$0.18
Вывод
16 510/M so'm
$1.30
data_array 262K context
Qwen: Qwen3.6 Flash
qwen/qwen3.6-flash
Vision
Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
Ввод
3 096/M so'm
$0.24
Вывод
18 574/M so'm
$1.46
data_array 1,000K context
Qwen: Qwen3.6 Max Preview
qwen/qwen3.6-max-preview
Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...
Ввод
17 170/M so'm
$1.35
Вывод
103 022/M so'm
$8.11
data_array 262K context
Qwen: Qwen3.6 Plus
qwen/qwen3.6-plus
Vision
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
Ввод
5 366/M so'm
$0.42
Вывод
32 195/M so'm
$2.54
data_array 1,000K context
Qwen: Qwen3.7 Max
qwen/qwen3.7-max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
Ввод
20 638/M so'm
$1.63
Вывод
61 913/M so'm
$4.88
data_array 1,000K context
Qwen: Qwen3.7 Plus
qwen/qwen3.7-plus
Vision
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Ввод
5 283/M so'm
$0.42
Вывод
21 133/M so'm
$1.66
data_array 1,000K context