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Qwen: Qwen3 235B A22B Thinking 2507

qwen/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...

Modalities

TextText

In / out price

$0.45 / $3.5 per 1M

Context

128K

Released

Jul 25, 2025

Why use Qwen3 235B A22B Thinking 2507

  • Step-by-step reasoning mode
  • Tool and function calling (agent-ready)

Pricing

Input$0.45 / 1M tokens
Output$3.5 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index12.7
Coding index22.1
Agentic index1.3

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

ModelPer runPer monthPer 1,000 runs
Qwen: Qwen3 235B A22B Thinking 2507$0.0074$7.36$7.36

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

  • Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Qwen: Qwen3 235B A22B Thinking 2507

128,000 tokens ≈ 193 pages

Fits: uses 94% of the window.

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