Loading...
Loading...
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 state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
Quality Index
17.2
228th of 444
Top 52%
Math Index
63.0
110th of 268
Top 41%
Price/1M
$0.27
329th cheapest
10% below median
Top 48%
Speed
60 tok/s
Top 41%
TTFT
0.47s
Context Window
33K
291st largest
Top 91%
Input
$0.27
per 1M tokens
Output
$0.27
per 1M tokens
Blended
$0.27
per 1M tokens
Cheaper than 52% of models. Median price is $0.30/1M tokens.
Daily
$0.27
Monthly
$8.10
60
tokens/sec
Faster than 59% of models
0.47
seconds
Faster than 47% of models
33.56
seconds
Faster than 8% of models
Market Median
45 tok/s
33% faster
Median TTFT
0.42s
12% slower
Throughput/Dollar
224
tok/s per $/1M
Speed Comparison
Context Window
33K
tokens
Larger than 9% of models
Max Output
33K
tokens
100% of context
972.0K
1.5K
24-48 GB
A6000 / M3 Ultra