Qwen 2.5 72B Instruct
Leading open-source multilingual model excelling in coding, math, and structured data extraction.
Technical Specification Matrix
Architecture & Engineering Overview
Dense Transformer with SwiGLU, RoPE, and GQA
Alibaba's flagship open-weights model trained on 18 trillion tokens across 29 languages. Qwen 2.5 72B demonstrates exceptional performance in mathematical problem solving, schema parsing, and multilingual instruction following.
Empirical Academic Benchmarks
Qwen 2.5 72B Instruct Benchmark Performance
Alibaba Cloud Qwen 2.5 Technical Report (Sep 2024). Apache 2.0 open weights.
Challenging competition-level high school and undergraduate mathematics problems evaluating step-by-step analytical proof capability.
Google-proof PhD-level multiple-choice questions in biology, physics, and chemistry designed by domain experts.
Expanded reasoning benchmark with 12,000+ challenging multi-step questions across 14 academic and professional subjects.
Human-verified subset of real-world GitHub issues evaluating autonomous agent capability to debug and resolve real open-source bugs.
Standard benchmark testing zero-shot Python function generation against functional unit test suites.
Verified Core Competencies
Head-to-Head Comparisons
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