Qwen3 VL 235B A22B Thinking
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. The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis,
Context window
This model accepts 131K tokens in one request (~98K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 131,072 tokens (131K)
- Max output tokens
- 32,768 tokens (33K)
- Speed tier
- deep
- Provider
- Alibaba
- Model family
- Qwen
- Release date
- Sep 2025
- Input cost
- $0.400/M / 1M tokens
- Output cost
- $4.00/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Qwen3 VL 235B A22B Thinking
Open a side-by-side comparison with one click.
- Qwen3 VL 235B A22B Thinking vs Amazon Titan Text Express
Qwen3 VL 235B A22B Thinking has 212% larger context window
- Qwen3 VL 235B A22B Thinking vs Amazon Titan Text Lite
Qwen3 VL 235B A22B Thinking has 212% larger context window
- Qwen3 VL 235B A22B Thinking vs Amazon Titan Text Premier
Qwen3 VL 235B A22B Thinking has 212% larger context window
- Qwen3 VL 235B A22B Thinking vs Claude Instant
Qwen3 VL 235B A22B Thinking has 31% larger context window
- Qwen3 VL 235B A22B Thinking vs Anthropic Claude
Qwen3 VL 235B A22B Thinking has 31% larger context window
- Qwen3 VL 235B A22B Thinking vs Codellama 34b Instruct
Qwen3 VL 235B A22B Thinking has 3100% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Alibaba
Other models by Alibaba in our catalog.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model