DeepSeek: R1 Distill Qwen 32B
Analysis Summary
DeepSeek: R1 Distill Qwen 32B sits in the Efficient tier on our leaderboard, ranked #238 of 525 published models on overall intelligence. At $0.290 input and $0.290 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window and supports reasoning.
Editorial notes
DeepSeek's R1 Distill Qwen 32B shows strong mathematical reasoning but limited overall intelligence and coding performance, with a restricted 32K context window. It offers reasonable pricing but limited accessibility for Western businesses reduces its practical appeal.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Architecture Detail
| Instruct Type | deepseek-r1 |
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: R1 Distill Qwen 32B stack up?
Compare side-by-side with other efficient models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000290 |
| Output | $0.29 | $0.000290 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
