DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
Tested on 6 benchmarks · BenchGecko score 41.9. Top scores: IFEval (41.9%), MMLU-PRO (41.0%), BBH (HuggingFace) (17.1%).
Llama 3 8B Instruct scores 41.8 (100% as good) at $0.14/1M input · 52% cheaper
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.
- Typetext
- Context33K tokens (~16 books)
- ReleasedJan 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
Frequently Asked Questions
Key facts · as of 2026-05-03
- R1 Distill Qwen 32B by DeepSeek. BenchGecko score 41.9, rank 188 of 312 scored models (normalized average of public benchmark scores).
- List price $0.29 input · $0.29 output per 1M tokens (as of 2026-05-03).
How to cite · data as of 2026-05-03
R1 Distill Qwen 32B · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/deepseek-r1-distill-qwen-32b
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP