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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
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...
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...
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...
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....
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...
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...
No provider description is available for this model yet.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
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...
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instruct | 131.072K | $0.104 | $0.416 | — | |||
| Qwen: Qwen3 VL 8B Thinkingqwen/qwen3-vl-8b-thinking | 131.072K | $0.18 | $2.1 | — | |||
| Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instruct | 262.144K | $0.25 | $0.75 | — | |||
| Qwen: Qwen3 VL 30B A3B Thinkingqwen/qwen3-vl-30b-a3b-thinking | 262.144K | $0.29 | $1 | — | |||
| Qwen: Qwen3 VL 30B A3B Instructqwen/qwen3-vl-30b-a3b-instruct | 262.144K | $0.15 | $0.6 | — | |||
| Qwen: Qwen3 VL 235B A22B Thinkingqwen/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | — | |||
| Qwen: Qwen3 VL 235B A22B Instructqwen/qwen3-vl-235b-a22b-instruct | 131.072K | $0.21 | $1.9 | — | |||
| Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instruct | 128K | $0.8 | $1 | — | |||
| Qwen/Qwen-Image-BenchQwen/Qwen-Image-Bench | Not documented | — | — | — | |||
| Qwen/Qwen3.5-397B-A17BQwen/Qwen3.5-397B-A17B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-122B-A10BQwen/Qwen3.5-122B-A10B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-27BQwen/Qwen3.5-27B | Not documented | — | — | — | |||
| Qwen/Qwen3.6-35B-A3BQwen/Qwen3.6-35B-A3B | Not documented | — | — | — | |||
| Qwen/Qwen3.6-27BQwen/Qwen3.6-27B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-35B-A3BQwen/Qwen3.5-35B-A3B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-9B-BaseQwen/Qwen3.5-9B-Base | Not documented | — | — | — | |||
| Qwen/Qwen3.5-35B-A3B-BaseQwen/Qwen3.5-35B-A3B-Base | Not documented | — | — | — | |||
| Qwen/Qwen3.5-0.8B-BaseQwen/Qwen3.5-0.8B-Base | Not documented | — | — | — | |||
| Qwen/Qwen3.5-2B-BaseQwen/Qwen3.5-2B-Base | Not documented | — | — | — | |||
| Qwen/Qwen3.5-4B-BaseQwen/Qwen3.5-4B-Base | Not documented | — | — | — | |||
| Qwen/Qwen3.5-0.8BQwen/Qwen3.5-0.8B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-2BQwen/Qwen3.5-2B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-4BQwen/Qwen3.5-4B | Not documented | — | — | — | |||
| Qwen/Qwen3.5-9BQwen/Qwen3.5-9B | Not documented | — | — | — | |||
| Qwen/Qwen3-VL-235B-A22B-InstructQwen/Qwen3-VL-235B-A22B-Instruct | Not documented | — | — | — | |||
| Qwen/Qwen3-VL-235B-A22B-ThinkingQwen/Qwen3-VL-235B-A22B-Thinking | Not documented | — | — | — | |||
| Qwen/Qwen3-VL-8B-ThinkingQwen/Qwen3-VL-8B-Thinking | Not documented | — | — | — | |||
| Qwen/Qwen3-VL-30B-A3B-InstructQwen/Qwen3-VL-30B-A3B-Instruct | Not documented | — | — | — | |||
| Qwen/Qwen3-VL-30B-A3B-ThinkingQwen/Qwen3-VL-30B-A3B-Thinking | Not documented | — | — | — | |||
| Qwen: Qwen3.7 Flashqwen/qwen3.7-flash | 1M | $0.03 | $0.13 | — | |||
| Qwen: Qwen3.8 Maxqwen/qwen3.8-max | 1M | $2 | $6 | — | |||
| Qwen/Qwen3.8-27BQwen/Qwen3.8-27B | Not documented | — | — | — | |||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | 262.144K | $0.2 | $2.5 | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | 1M | $0.15 | $0.47 | — | |||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | 262.144K | $0.17 | $0.25 | — | |||
| Qwen/Qwen3.8-Flash-NextQwen/Qwen3.8-Flash-Next | Not documented | — | — | — | |||
| Qwen/Qwen-Drive-1.0-4BQwen/Qwen-Drive-1.0-4B | Not documented | — | — | — | |||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | 1M | $2 | $6 | — | |||
| Qwen: Qwen3.8 27B (free)qwen/qwen3.8-27b:free | 262.144K | Free | Free | — | |||
| Qwen: Qwen3.8 Omni Flashqwen/qwen3.8-omni-flash | 1M | $0.15 | $0.47 | — | |||
| Qwen: Qwen3.8 Max Primeqwen/qwen3.8-max-prime | 1M | $4 | $12 | — | |||
| Qwen: Qwen3.7 Plus (batch)qwen/qwen3.7-plus:batch | 262.144K | $0.23 | $0.92 | — |