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Qwen2-72B
About Qwen2-72B
Qwen2-72B is an AI model developed by Qwen, in the language category, released in 2024, made available as an open-weights model with 72.7B params.
On this page you'll find Qwen2-72B's full specifications, including 8 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen2-72B head-to-head with other language models.
Links
Run Qwen2-72B locally — what to buy
Share this build ↗Sized to what Qwen2-72B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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Qwen2-72B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 86% | instruct-cited-telechat2 |
| MBPP | code | 80.2% | instruct-cited-telechat2 |
| AlignBench v1.1 | general | 8.27 | instruct-cited-telechat2 |
| C-Eval | general | 83.8% | instruct-cited-telechat2 |
| IFEval | general | 77.6% | instruct-cited-telechat2 |
| MMLU | general | 82.3% | instruct-cited-telechat2 |
| CMMLU | knowledge | 87.47 | instruct-cited-telechat2 |
| GSM8K | math | 91.1% | instruct-cited-telechat2 |
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Frequently asked questions
What is Qwen2-72B? ▶
Qwen2-72B is an AI model developed by Qwen, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Qwen2-72B? ▶
Qwen2-72B was developed by Qwen and released in 2024.
Is Qwen2-72B open source or proprietary? ▶
Qwen2-72B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Qwen2-72B cost? ▶
Pricing for Qwen2-72B depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen2-72B perform on benchmarks? ▶
Qwen2-72B is benchmarked across 8 evaluations on GenAIList, including HumanEval (86%). See the full benchmark table below and compare it with other models.
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