Intelligence index
Outperforms 36% of compared models
Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks).
Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.
- Input / output price
- $0.09/$0.55per 1M tokens
- Context
- 262K
- Released
- 2025-07-21
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
1070Elo
Win rate 49%
3D
991Elo
Win rate 41.1%
Code Categories
1037Elo
Win rate 42.6%
UI Component
960Elo
Win rate 38.4%
Website
1056Elo
Win rate 43.6%
Game Development
950Elo
Win rate 35%
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