Qwen3 235B A22B
Zero-eval
#1Arena Hard
#1BBH
#1CRUX-O
+4 more
by Alibaba Cloud / Qwen Team
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About
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
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Pricing Range
Input (per 1M)$0.10 -$0.20
Output (per 1M)$0.10 -$0.80
Providers4
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Timeline
AnnouncedApr 29, 2025
ReleasedApr 29, 2025
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Specifications
Training Tokens36.0T
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
23 benchmarks
Average Score
76.2%
Best Score
95.6%
High Performers (80%+)
10Performance Metrics
Max Context Window
256.0KAvg Throughput
38.0 tok/sAvg Latency
1ms+
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All Benchmark Results for Qwen3 235B A22B
Complete list of benchmark scores with detailed information
| Arena Hard | text | 0.96 | 95.6% | Self-reported | |
| GSM8k | text | 0.94 | 94.4% | Self-reported | |
| BBH | text | 0.89 | 88.9% | Self-reported | |
| MMLU | text | 0.88 | 87.8% | Self-reported | |
| MMLU-Redux | text | 0.87 | 87.4% | Self-reported | |
| MMMLU | text | 0.87 | 86.7% | Self-reported | |
| AIME 2024 | text | 0.86 | 85.7% | Self-reported | |
| MGSM | text | 0.84 | 83.5% | Self-reported | |
| AIME 2025 | text | 0.81 | 81.5% | Self-reported | |
| MBPP | text | 0.81 | 81.4% | Self-reported |
Showing 1 to 10 of 23 benchmarks
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