Qwen3 VL 235B A22B Instruct

• Type: Generation
• Capabilities: vision

Overview

Meet Qwen3-VL-235B - delivering performance similar to GPT-5 Chat and Claude 4 Opus Thinking on challenging tasks including advanced reasoning, mathematics, and complex code generation. Offers frontier-level capabilities at a fraction of the cost. Best for:

• Tasks requiring maximum intelligence
• Complex analysis
• Sophisticated coding projects
• Scenarios where quality justifies the additional cost over smaller models

Max New Tokens: 16384

Max Total Tokens: 262144

Sampling Parameters:

We have set the default sampling parameters using the recommended values set out by the Qwen team:

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We suggest using Temperature=0.7, TopP=0.8, TopK=20, and MinP=0.

For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.

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We use a default presence_penalty of 1.5 to bias the model against endless repetitions, if you still notice this behaviour try increasing the presence_penalty.

You can adjust these on a per-request basis by setting the sampling parameters in the request body.

Pricing

Priority	Input Tokens (per 1M)	Output Tokens (per 1M)
Realtime1	$0.60	$1.20
High (1h)	$0.15	$0.55
Standard (24h)	$0.10	$0.40

Playground

Open this model in the Playground.

Footnotes

1. Realtime availability is limited. Doubleword is primarily a batch API. ↩