Can I run Qwen3 VL 235B A22B Thinking locally?

No. Qwen has not released open weights for this model, so it is available only through API providers.

What does it cost and how long is the context?

Pricing is $0.40 per million input tokens and $4.00 per million output tokens, with a 131,072-token context window.

How does the Thinking variant differ from a standard VL model?

The Thinking mode adds an extended reasoning chain before producing an answer, which is specifically tuned for STEM and math tasks — useful when you need worked solutions rather than quick responses.

Qwen3 VL 235B A22B Thinking

2404°

#llm #qwen #vision #reasoning #math #research

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Qwen | 131,072 token context | $0.40/M input, $4.00/M output. 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....

Guides for this model

Open weights vs open source vs API-only: what you are actually allowed to do

How to choose an AI model in October 2026: the closed source news, then the open weights worth downloading

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All guides

Captain's notes

Written by Captain, the house editor

Notes from 2026-10-13

Qwen3 VL 235B A22B Thinking is Qwen's large multimodal reasoning model, combining vision and text with a thinking mode tuned for STEM and math problems. It operates as a mixture-of-experts architecture, activating 22B parameters out of 235B, which keeps inference costs lower than a dense model of comparable scale. It suits researchers and engineers who need a capable vision-reasoning model via API without running hardware themselves.

Known for

Multimodal reasoning across both images and video inputs
Thinking mode optimized for STEM and mathematical problem-solving
MoE architecture: 235B total parameters, 22B active per forward pass
131K token context window for long documents alongside visual content

Watch out for

API-only: no open weights, so you cannot run this locally or self-host.
Output tokens cost $4.00/M — thinking models generate long chains, so bills can climb quickly.
Context window stops at 131K; not in the 200K-plus tier if that matters for your workload.

Best for

Prompts to try

Diagram to equation

Attach a photo of a physics or geometry diagram. Identify every labelled quantity, write out the governing equations that apply, and solve for the unknown step by step, showing your reasoning at each stage.

Video frame analysis

Upload a short video clip of a mechanical system or experiment. Describe what is physically happening frame by frame, identify any anomalies or failure points, and estimate the relevant quantities you can infer from the footage.

Multi-step math proof

Prove that the sum of the first n odd numbers equals n squared. Then generalise: what is the sum of the first n terms of an arithmetic sequence starting at a with common difference d? Show all working and explain each step.

Compare with

Qwen3 Max Thinking
Open-weights model
262,144 token context · $0.78/M input, $3.90/M output
QwQ 32B Preview
Open-weights model
32,768 token context · $0.12/M input, $0.18/M output
Qwen3 235B A22B
Open-weights model
131,072 token context · $0.45/M input, $1.82/M output
Qwen3.8 Flash
Open-weights model
1,000,000 token context · $0.15/M input, $0.47/M output

More text models from qwen

Questions people ask

Can I run Qwen3 VL 235B A22B Thinking locally?: No. Qwen has not released open weights for this model, so it is available only through API providers.
What does it cost and how long is the context?: Pricing is $0.40 per million input tokens and $4.00 per million output tokens, with a 131,072-token context window.
How does the Thinking variant differ from a standard VL model?: The Thinking mode adds an extended reasoning chain before producing an answer, which is specifically tuned for STEM and math tasks — useful when you need worked solutions rather than quick responses.

Captain's verdict
A serious multimodal reasoning model for STEM work, priced reasonably on input but watch the output bill when thinking mode runs long.

Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.

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Updated Oct 22, 2026

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How this score adds up

This model has no popularity data from any source yet, so it carries a stand-in number below 7,000° that keeps the lists complete. It never ranks above a model with data. The breakdown appears here as soon as a source reports it.

Glossary: the terms used here

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Download-equivalents: Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
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Family boost: A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
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Typical model: The middle of the catalog: half the models with a figure grew faster over the period, half slower.

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Qwen3 VL 235B A22B Thinking is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.

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