Qwen 3 VL 4B Thinking
Qwen 3 VL 4B Thinking is a chat model developed by Qwen, capable of processing both text and image inputs, and excels in multimodal reasoning, particularly in STEM and math-related tasks, providing causal analysis and logical, evidence-based answers. Notably, it features an extended context length of up to 1M, allowing it to handle long-form content such as books and hours-long videos with full recall.
Input
Output
Context
262K
Max Output
262K
Parameters
4B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for Qwen 3 VL 4B Thinking
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
More models by Qwen
The creator's other models in the catalog, with their context, size and license where published.
Compare it, or keep browsing
Put this model beside its alternatives on the same evidence, or go back to the full catalog.
Frequently asked questions about Qwen 3 VL 4B Thinking
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Qwen 3 VL 4B Thinking advertises a context window of 262,144 tokens, with a maximum output of 262,144 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Qwen 3 VL 4B Thinking is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Qwen 3 VL 4B Thinking accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Qwen 3 VL 4B Thinking has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Qwen 3 VL 4B Thinking is shown as not available rather than estimated.
Not on the managed pool today; Qwen 3 VL 4B Thinking is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 4.3 GB at INT8 for the weights and a default context, from the catalog's 4B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
Put intelligence in the middle.
One gateway in front of every model, with your policies applied and every decision on record. Start with $5 of credit and 5,000 routing decisions a month, no card required.