New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
DeepSeek-R1-Distill-Qwen-7B
About DeepSeek-R1-Distill-Qwen-7B
DeepSeek-R1-Distill-Qwen-7B is an AI model developed by DeepSeek, in the language category, released in 2025, made available as an open-weights model with 7B params.
On this page you'll find DeepSeek-R1-Distill-Qwen-7B's full specifications, including 25 benchmark results. Review provider pricing and benchmark scores below, or compare DeepSeek-R1-Distill-Qwen-7B head-to-head with other language models.
Links
Run DeepSeek-R1-Distill-Qwen-7B locally — what to buy
Share this build ↗Sized to what DeepSeek-R1-Distill-Qwen-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
No reports yet. Own this model on some hardware? Be the first to confirm it runs.
No comments yet. Start the discussion.
DeepSeek-R1-Distill-Qwen-7B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 79.89% | cited-granite-3-2 |
| HumanEval+ | code | 78.43% | cited-granite-3-2 |
| LiveCodeBench v5 | code | 37.6% | cited-mimo |
| LiveCodeBench v6 | code | 23.9% | cited-mimo |
| AlpacaEval 2 | general | 15.35% | cited-granite-3-2 |
| ArenaHard | general | 10.36% | cited-granite-3-2 |
| IFEval | general | 60.5% | cited-mimo |
| IFEval | general | 59.1% | cited-granite-3-2 |
| MMLU | general | 50.72% | cited-granite-3-2 |
| MMLU-Pro | general | 53.5% | cited-mimo |
| SuperGPQA | knowledge | 28.9 | cited-mimo |
| AIME 2024 | math | 83.3% | cons@64-cited-exaone |
| AIME 2024 | math | 55.5% | pass@1-cited-exaone |
| AIME 2024 | math | 55.5% | cited-mimo |
| AIME 2025 | math | 56.7% | cons@64-cited-exaone |
| AIME 2025 | math | 38.8% | cited-mimo |
| AIME 2025 | math | 38.5% | pass@1-cited-exaone |
| GSM8K | math | 78.47% | cited-granite-3-2 |
| MATH-500 | math | 92.8% | pass@1-cited-exaone |
| MATH-500 | math | 92.8% | cited-mimo |
| BIG-Bench Hard | reasoning | 65.04% | cited-granite-3-2 |
| DROP | reasoning | 77% | cited-mimo |
| DROP | reasoning | 42.76% | cited-granite-3-2 |
| GPQA Diamond | reasoning | 49.1% | cited-mimo |
| TruthfulQA | safety | 47.14% | cited-granite-3-2 |
More models like DeepSeek-R1-Distill-Qwen-7B
Frequently asked questions
What is DeepSeek-R1-Distill-Qwen-7B? ▶
DeepSeek-R1-Distill-Qwen-7B is an AI model developed by DeepSeek, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DeepSeek-R1-Distill-Qwen-7B? ▶
DeepSeek-R1-Distill-Qwen-7B was developed by DeepSeek and released in 2025.
Is DeepSeek-R1-Distill-Qwen-7B open source or proprietary? ▶
DeepSeek-R1-Distill-Qwen-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 DeepSeek-R1-Distill-Qwen-7B cost? ▶
Pricing for DeepSeek-R1-Distill-Qwen-7B depends on the provider. See the providers table on this page for the latest API rates.
How does DeepSeek-R1-Distill-Qwen-7B perform on benchmarks? ▶
DeepSeek-R1-Distill-Qwen-7B is benchmarked across 25 evaluations on GenAIList, including HumanEval (79.89%). See the full benchmark table below and compare it with other models.
No videos yet. Know a good one? Add it below.
Know a great video about DeepSeek-R1-Distill-Qwen-7B?
Add YouTube Video
Add Tweet/Discussion
Report an Issue
Help us maintain accurate information in our database.
Suggest an Edit
Tell us what needs to be changed or corrected for