DeepSeek R1 Distill Qwen 32B
DeepSeekDeepSeekOpen WeightMIT · Commercial OK
Description
DeepSeek-R1 is the first-generation reasoning model built atop DeepSeek-V3 (671B total parameters, 37B activated per token). It incorporates large-scale reinforcement learning (RL) to enhance its chain-of-thought and reasoning capabilities, delivering strong performance in math, code, and multi-step reasoning tasks.
Release Date
2025-01-20
Parameters
32.8B
Context Length
33K
Modalities
text
Capability Radar
32
general
29
coding
69
reasoning
42
scienceest.
0
agents
0
multimodal
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 339 | 21.0 | AA |
| General Ranking | 305 | 36.0 | AA |
| Math Reasoning | 114 | 72.0 | AA |
| Science | 231 | 45.0 | AA |
Benchmark Scores (LLM Stats)
Biology
GPQA
62.1%SR
Code
LiveCodeBench
57.2%SR
Math
MATH-500
94.3%SR
AIME 2024
83.3%SR
AA Evaluation Indices
Math Index63.0
Intelligence Index17.2
Math 5000.9
Mmlu Pro0.7
Aime0.7
Aime 250.6
Gpqa0.6
Scicode0.4
Livecodebench0.3
Ifbench0.2
Lcr0.1
Hle0.1
LLM Stats Category Scores
Math90
Reasoning70
Biology60
Chemistry60
Code60
General60
Physics60
Pricing
Input PriceFree
Output PriceFree
Blended Price (3:1)Free
Speed
Tokens/sec0.0 tokens/s
Time to First Token0.00s
Time to Answer0.00s
Available Providers
(LS internal units)No provider data available