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Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 is Alibaba's 235B MoE model configured for extended chain-of-thought reasoning, combining 235 billion total parameters with always-on deliberative reasoning for demanding inference tasks.

Vision (Image)Tool UseFile Input
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'alibaba/qwen3-235b-a22b-thinking',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • How does this model differ from the standard Qwen3-235B-A22B listing?

    This variant is specifically configured for thinking mode, extended chain-of-thought reasoning is the default behavior rather than something toggled per request. It's intended for workloads where deliberative reasoning is always desired, rather than mixed applications that need to switch modes.

  • Does the thinking trace count toward the context window and output token limit?

    Yes. The reasoning trace is generated within the model's context and contributes to token usage. Long thinking sequences on complex problems can be substantial, so setting appropriate thinking budgets prevents runaway token consumption. Output pricing applies to all generated tokens including the trace, depending on provider implementation.

  • Why is the MoE architecture particularly useful for thinking mode?

    Thinking mode generates long internal token sequences before producing the final answer. With a fully dense model, every one of those tokens would activate all parameters. The MoE design activates only 22B of 235B parameters per token, making the extended reasoning trace significantly cheaper to generate than it would be with a dense model of equivalent total capacity.

  • What benchmarks has the underlying model been evaluated on?

    The Qwen3-235B-A22B model was benchmarked against other strong reasoning models on coding, mathematics, and general reasoning tasks, with competitive results reported. See the Qwen3 blog at https://novita.ai/models/model-detail/qwen-qwen3-vl-235b-a22b-thinking for detailed benchmark tables.

  • Can thinking mode be adjusted or turned off for specific requests?

    The thinking budget can be configured per request. If you occasionally need a faster response, reducing the thinking budget will constrain the reasoning phase. Completely disabling thinking on this variant may not reflect its intended use case; the standard Qwen3-235B-A22B model is better suited for workloads that need to toggle thinking on and off.

  • What languages does this model support for reasoning tasks?

    The model covers 119 languages and dialects. Thinking-mode reasoning works across this multilingual coverage, though the highest benchmark performance data tends to come from English and Chinese evaluations.

  • Can I configure Qwen3 235B A22B Thinking 2507 for both thinking and direct-response traffic from one integration?

    This variant is configured with thinking mode as the default. For mixed workloads that need to toggle thinking on and off per request, the standard Qwen3-235B-A22B listing exposes both modes.