Qwen3 235B A22B
qwen3-235b-a22bQwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and... Built by Qwen.
Prices updated
Input price
$0.46
per 1M tokens · Standard
Output price
$1.82
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
8K
tokens
Input formats
Output formats
Qwen3 235B A22B price history
2 price records since 9/25/2026
Qwen3 235B A22B cost calculator
$18/month
Standard pricing
Overview
What is Qwen3 235B A22B?
Qwen3 235B A22B is a text & reasoning model from Qwen. Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and... Its 131K context window and $0.46 input price make it a candidate for quality-focused production applications.
Benchmarks
Qwen3 235B A22B benchmarks & speed
How Qwen3 235B A22B scores on standardized evaluations, and where it lands among every model we track.
1006
DesignArena Elo
Latency & design
- DesignArena win rate
- 38.2%
- Design battles judged
- 5,158
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 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.46
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3 235B A22B Tools
Tools available when using Qwen3 235B A22B through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Measured results (DesignArena Elo 1006) position it for demanding production work.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× 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.
Same provider