DeepSeek R1 Distill Qwen 1.5B
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
1.8B
Context Length
—
Modalities
—
Capability Radar
14
general
7
coding
27
reasoning
7
scienceest.
0
agents
0
multimodal
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 460 | 4.0 | AA |
| General Ranking | 484 | 11.0 | AA |
| Math Reasoning | 269 | 30.0 | AA |
| Science | 482 | 5.0 | AA |
Benchmark Scores (LLM Stats)
Biology
GPQA
33.8%SR
Code
LiveCodeBench
16.9%SR
Math
MATH-500
83.9%SR
AIME 2024
52.7%SR
AA Evaluation Indices
Math Index22.0
Intelligence Index9.1
Math 5000.7
Mmlu Pro0.3
Aime 250.2
Aime0.2
Ifbench0.1
Gpqa0.1
Livecodebench0.1
Scicode0.1
Hle0.0
Lcr0.0
LLM Stats Category Scores
Math70
Reasoning50
Biology30
Chemistry30
General30
Physics30
Code20
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