Qwen3-Next-80B-A3B-Thinking
Zero-eval
#2LiveBench 20241125
#2PolyMATH
#2OJBench
+8 more
by Alibaba Cloud / Qwen Team
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About
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K 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)$1.50 -$1.50
Providers1
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Timeline
AnnouncedSep 10, 2025
ReleasedSep 10, 2025
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Specifications
Training Tokens15.0T
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
23 benchmarks
Average Score
67.9%
Best Score
92.5%
High Performers (80%+)
5Performance Metrics
Max Context Window
131.1K+
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All Benchmark Results for Qwen3-Next-80B-A3B-Thinking
Complete list of benchmark scores with detailed information
| MMLU-Redux | text | 0.93 | 92.5% | Self-reported | |
| IFEval | text | 0.89 | 88.9% | Self-reported | |
| AIME 2025 | text | 0.88 | 87.8% | Self-reported | |
| WritingBench | text | 0.85 | 84.6% | Self-reported | |
| MMLU-Pro | text | 0.83 | 82.7% | Self-reported | |
| Include | text | 0.79 | 78.9% | Self-reported | |
| MMLU-ProX | text | 0.79 | 78.7% | Self-reported | |
| Multi-IF | text | 0.78 | 77.8% | Self-reported | |
| GPQA | text | 0.77 | 77.2% | Self-reported | |
| LiveBench 20241125 | text | 0.77 | 76.6% | Self-reported |
Showing 1 to 10 of 23 benchmarks