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
12
general
7
coding
27
reasoning
8
science
21
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 619 | 5.0 | AA |
| General Ranking | 651 | 9.0 | AA |
| Science | 658 | 2.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Math
MATH-500
83.9%SR
AIME 2024
52.7%SR
Reasoning
GPQANYU + Cohere + Anthropic (2023)
33.8%SR
LiveCodeBench
16.9%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))68.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))26.9
Math Index(Artificial Analysis)22.0
Aime 25(MAA (Mathematical Association of America))22.0
Aime(MAA (Mathematical Association of America))17.7
Ifbench(Google Research (2023))13.2
Gpqa(NYU + Cohere + Anthropic (2023))9.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))7.0
Intelligence Index(Artificial Analysis)5.5
Hle(Center for AI Safety + Scale AI (2025))3.1
Lcr(Artificial Analysis)1.7
LLM Stats Category Scores
(LLM Stats (zeroeval))Math70
Reasoning50
General50
Physics30
Biology30
Chemistry30
Code20
Pricing
Input PriceFree
Output PriceFree
Blended Price (3:1)Free
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
No provider data available