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
27
general
38
coding
64
reasoning
35
science
56
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 445 | 27.0 | AA |
| General Ranking | 485 | 28.0 | AA |
| Science | 509 | 25.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Math
MATH-500
93.9%SR
AIME 2024
80.0%SR
Reasoning
GPQANYU + Cohere + Anthropic (2023)
59.1%SR
LiveCodeBench
53.1%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))94.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))74.0
Aime(MAA (Mathematical Association of America))66.7
Math Index(Artificial Analysis)55.7
Aime 25(MAA (Mathematical Association of America))55.7
Gpqa(NYU + Cohere + Anthropic (2023))48.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))37.6
Ifbench(Google Research (2023))22.1
Lcr(Artificial Analysis)10.3
Intelligence Index(Artificial Analysis)7.8
Hle(Center for AI Safety + Scale AI (2025))4.1
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