Qwen3 235B A22B Thinking 2507
qwen3-235b-a22b-thinking-2507Qwen3-235B-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
Output formats
Qwen3 235B A22B Thinking 2507 price history
2 price records since 9/25/2026
Qwen3 235B A22B Thinking 2507 cost calculator
$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.
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
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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