DeepSeek
DeepSeek R1 Distill Qwen 32B
Classic open reasoning model for transparent math, coding, and deliberate problem solving
Model facts
- Context window
- 8K tokens
- Maximum output
- 8K tokens
- Cheapest paid input
- $0.3 per 1M tokens
- Cheapest paid output
- $0.3 per 1M tokens
- Open weights
- yes
- Providers
- 3
Capabilities and modalities
reasoning, tool calling, temperature control, open weights, text.
Local hardware estimate
At 4K context: Q4_K_M 21.0 GiB, Q8_0 36.3 GiB, F16 64.9 GiB working memory.
- Parameters
- 32.8 billion
- Architecture
- qwen2
- Model license
- mit
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 11.0 | not measured | 63.0 | not measured |
Observed price history
- 2026-08-24: $0.3 input / $0.3 output per 1M tokens
API providers
- NovitaAI — model id deepseek/deepseek-r1-distill-qwen-32b; $0.3 input / $0.3 output per 1M tokens; provider documentation
- Alibaba (China) — model id deepseek-r1-distill-qwen-32b; $0.287 input / $0.861 output per 1M tokens; provider documentation
- Cloudflare Workers AI — model id @cf/deepseek-ai/deepseek-r1-distill-qwen-32b; $0.497 input / $4.88 output per 1M tokens; provider documentation