Qwen3-235B-A22B-Instruct-2507
Zero-eval
#1ZebraLogic
#1MultiPL-E
#1Creative Writing v3
+9 more
by Alibaba Cloud / Qwen Team
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About
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.15 -$0.15
Output (per 1M)$0.80 -$0.80
Providers1
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Timeline
AnnouncedJul 22, 2025
ReleasedJul 22, 2025
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
25 benchmarks
Average Score
72.1%
Best Score
95.0%
High Performers (80%+)
8Performance Metrics
Max Context Window
147.5K+
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All Benchmark Results for Qwen3-235B-A22B-Instruct-2507
Complete list of benchmark scores with detailed information
| ZebraLogic | text | 0.95 | 95.0% | Self-reported | |
| MMLU-Redux | text | 0.93 | 93.1% | Self-reported | |
| IFEval | text | 0.89 | 88.7% | Self-reported | |
| MultiPL-E | text | 0.88 | 87.9% | Self-reported | |
| Creative Writing v3 | text | 0.88 | 87.5% | Self-reported | |
| WritingBench | text | 0.85 | 85.2% | Self-reported | |
| CSimpleQA | text | 0.84 | 84.3% | Self-reported | |
| MMLU-Pro | text | 0.83 | 83.0% | Self-reported | |
| Include | text | 0.80 | 79.5% | Self-reported | |
| MMLU-ProX | text | 0.79 | 79.4% | Self-reported |
Showing 1 to 10 of 25 benchmarks