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Qwen3 235B A22B Thinking 2507

qwen3-235b-a22b-thinking-2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144... Built by Qwen.

Prices updated

Input price

$0.23

per 1M tokens · Standard

Output price

$2.30

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

118K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
Compare

Qwen3 235B A22B Thinking 2507 price history

2 price records since 9/25/2026

Qwen3 235B A22B Thinking 2507 cost calculator

Input20M tokens
Output5M tokens

$16/month

Standard pricing

    Overview

    What is Qwen3 235B A22B Thinking 2507?

    Qwen3 235B A22B Thinking 2507 is a text & reasoning model from Qwen. Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144... Its 131K context window and $0.23 input price make it a candidate for cost-sensitive, high-throughput applications.

    Content workflowsClassification

    Benchmarks

    Qwen3 235B A22B Thinking 2507 benchmarks & speed

    How Qwen3 235B A22B Thinking 2507 scores on standardized evaluations, and where it lands among every model we track.

    1037

    DesignArena Elo

    Better than 13% of 81 models

    Latency & design

    DesignArena win rate
    40.8%
    Design battles judged
    6,175

    Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.

    Rates

    Qwen3 235B A22B Thinking 2507 pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.23

    Per 1M tokens

    Cached input · Standard

    Not available

    No listed cached-input rate

    Capabilities

    Qwen3 235B A22B Thinking 2507 Tools

    Tools available when using Qwen3 235B A22B Thinking 2507 through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Not supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Not supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.23 per million tokens suits high-volume workloads.
    • A 131K context window covers most focused application workflows.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 10× more than input tokens, which matters for verbose responses.
    • The 131K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Qwen3 235B A22B Thinking 2507

    Qwen3 235B A22B Thinking 2507 is a text & reasoning model from Qwen. Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...