Qwen2.5 72B Instruct
Zero-eval
#1MT-Bench
#1AlignBench
#3MBPP
by Alibaba Cloud / Qwen Team
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About
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.35 -$1.20
Output (per 1M)$0.40 -$1.20
Providers4
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Timeline
AnnouncedSep 19, 2024
ReleasedSep 19, 2024
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Specifications
Training Tokens18.0T
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License & Family
License
Qwen
Performance Overview
Performance metrics and category breakdown
Overall Performance
14 benchmarks
Average Score
77.4%
Best Score
95.8%
High Performers (80%+)
9Performance Metrics
Max Context Window
139.3KAvg Throughput
54.0 tok/sAvg Latency
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All Benchmark Results for Qwen2.5 72B Instruct
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.96 | 95.8% | Self-reported | |
| MT-Bench | text | 0.94 | 93.5% | Self-reported | |
| MBPP | text | 0.88 | 88.2% | Self-reported | |
| MMLU-Redux | text | 0.87 | 86.8% | Self-reported | |
| HumanEval | text | 0.87 | 86.6% | Self-reported | |
| IFEval | text | 0.84 | 84.1% | Self-reported | |
| MATH | text | 0.83 | 83.1% | Self-reported | |
| AlignBench | text | 0.82 | 81.6% | Self-reported | |
| Arena Hard | text | 0.81 | 81.2% | Self-reported | |
| MultiPL-E | text | 0.75 | 75.1% | Self-reported |
Showing 1 to 10 of 14 benchmarks