DeepSeek: R1 Distill Qwen 32Bdeepseek
DeepSeek: R1 Distill Qwen 32B: $0.29/1M input, $0.29/1M output, 128K context, CPS grade B. DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
API Pricing (per 1M tokens)
| Input | $0.29 |
| Output | $0.29 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.29 |
Specs & Performance
| Context Length | 128K |
| Max Output | 33K |
| Intelligence | 8 |
| Coding | — |
| Math | 63 |
| Speed | — |
| TTFT | — |
| CPS Grade | B |
| Input / Output Modalities | text → text |
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FAQ
How much does the DeepSeek: R1 Distill Qwen 32B API cost?
DeepSeek: R1 Distill Qwen 32B costs $0.29/1M input tokens and $0.29/1M output tokens. Blended cost at a 3:1 ratio is about $0.29/1M tokens.
What is the context window of DeepSeek: R1 Distill Qwen 32B?
DeepSeek: R1 Distill Qwen 32B supports a 128K token context window with up to 33K output tokens.
Is DeepSeek: R1 Distill Qwen 32B worth it?
DeepSeek: R1 Distill Qwen 32B has a CPS grade of B (score 64), intelligence index 8, coding index —. Use the compare page to benchmark against rivals.