DeepSeek R1 Distill Qwen 14B
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
14.8B
Context Length
—
Modalities
—
Capability Radar
28
general
35
coding
64
reasoning
31
science
55
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 385 | 25.0 | AA |
| General Ranking | 417 | 31.0 | AA |
| Science | 435 | 30.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
59.1%SR
Code
LiveCodeBench
53.1%SR
Math
MATH-500
93.9%SR
AIME 2024
80.0%SR
AA Evaluation Indices
(Artificial Analysis)Math Index(Artificial Analysis)55.7
Intelligence Index(Artificial Analysis)9.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Aime(MAA (Mathematical Association of America))0.7
Aime 25(MAA (Mathematical Association of America))0.6
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.4
Scicode(UIUC + Argonne National Lab (2024))0.2
Ifbench(Google Research (2023))0.2
Lcr(Artificial Analysis)0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Math90
Reasoning70
General70
Physics60
Biology60
Chemistry60
Code50
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