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Qwen2.5-7B
About Qwen2.5-7B
Qwen2.5-7B is an AI model developed by Qwen, in the language category, released in 2024, made available as an open-weights model with 7.6B params.
On this page you'll find Qwen2.5-7B's full specifications, including 42 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen2.5-7B head-to-head with other language models.
Links
Run Qwen2.5-7B locally — what to buy
Share this build ↗Sized to what Qwen2.5-7B 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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Qwen2.5-7B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 93.35% | instruct-cited-granite-3-2 |
| HumanEval+ | code | 89.91% | instruct-cited-granite-3-2 |
| AlpacaEval 2 | general | 31.7% | instruct-cited-exaone35-7b |
| AlpacaEval 2 | general | 30.34% | instruct-cited-granite-3-2 |
| ArenaHard | general | 55.5% | cited-phi4-mini |
| ArenaHard | general | 48.9% | instruct-cited-exaone35-7b |
| ArenaHard | general | 25.44% | instruct-cited-granite-3-2 |
| IFEval | general | 74.9% | instruct-cited-granite-3-2 |
| IFEval | general | 74.7% | instruct-cited-falcon3 |
| LiveBench | general | 35.6 | instruct-cited-exaone35-7b |
| MMLU | general | 74.4% | base-cited-olmo2 |
| MMLU | general | 73.5% | instruct-5-shot-cited-falcon3 |
| MMLU | general | 72.6% | cited-phi4-mini |
| MMLU-Pro | general | 56.2% | cited-phi4-mini |
| MMLU-Pro | general | 45.8% | base-cited-olmo2 |
| MMLU-Pro | general | 43.1% | instruct-5-shot-cited-falcon3 |
| MMMLU | general | 64.4% | cited-phi4-mini |
| AGIEval | knowledge | 63.7 | base-cited-olmo2 |
| ARC-Challenge | knowledge | 90.1 | cited-phi4-mini |
| ARC-Challenge | knowledge | 89.5 | base-cited-olmo2 |
| ARC-Challenge | knowledge | 57.8 | instruct-25-shot-cited-falcon3 |
| TriviaQA | knowledge | 69.4 | base-cited-olmo2 |
| GSM8K | math | 88.7% | cited-phi4-mini |
| GSM8K | math | 84.46% | instruct-cited-granite-3-2 |
| GSM8K | math | 81.5% | base-cited-olmo2 |
| GSM8K | math | 72% | instruct-5-shot-cited-falcon3 |
| MATH | math | 60.4% | cited-phi4-mini |
| MGSM | math | 64.5 | cited-phi4-mini |
| BIG-Bench Hard | reasoning | 72.4% | cited-phi4-mini |
| BIG-Bench Hard | reasoning | 70.4% | instruct-cited-granite-3-2 |
| BIG-Bench Hard | reasoning | 54.1% | instruct-3-shot-cited-falcon3 |
| DROP | reasoning | 55.8% | base-cited-olmo2 |
| DROP | reasoning | 54.71% | instruct-cited-granite-3-2 |
| GPQA Diamond | reasoning | 32% | instruct-0-shot-cited-falcon3 |
| HellaSwag | reasoning | 89.7 | base-cited-olmo2 |
| HellaSwag | reasoning | 80 | cited-phi4-mini |
| PIQA | reasoning | 76.2 | cited-phi4-mini |
| PIQA | reasoning | 73.7 | instruct-0-shot-cited-falcon3 |
| Winogrande | reasoning | 74.2 | base-cited-olmo2 |
| Winogrande | reasoning | 71.1 | cited-phi4-mini |
| TruthfulQA | safety | 69.4% | cited-phi4-mini |
| TruthfulQA | safety | 63.06% | instruct-cited-granite-3-2 |
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Frequently asked questions
What is Qwen2.5-7B? ▶
Qwen2.5-7B 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 Qwen2.5-7B? ▶
Qwen2.5-7B was developed by Qwen and released in 2024.
Is Qwen2.5-7B open source or proprietary? ▶
Qwen2.5-7B 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 Qwen2.5-7B cost? ▶
Pricing for Qwen2.5-7B depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen2.5-7B perform on benchmarks? ▶
Qwen2.5-7B is benchmarked across 42 evaluations on GenAIList, including HumanEval (93.35%). See the full benchmark table below and compare it with other models.
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