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
32
general
35
coding
64
reasoning
31
scienceest.
0
agents
0
multimodal
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 303 | 25.0 | AA |
| General Ranking | 330 | 34.0 | AA |
| Math Reasoning | 131 | 67.0 | AA |
| Science | 352 | 31.0 | AA |
Benchmark Scores (LLM Stats)
Biology
GPQA
59.1%SR
Code
LiveCodeBench
53.1%SR
Math
MATH-500
93.9%SR
AIME 2024
80.0%SR
AA Evaluation Indices
Math Index55.7
Intelligence Index15.8
Math 5000.9
Mmlu Pro0.7
Aime0.7
Aime 250.6
Gpqa0.5
Livecodebench0.4
Scicode0.2
Ifbench0.2
Lcr0.1
Hle0.0
LLM Stats Category Scores
Math90
Reasoning70
Biology60
Chemistry60
General60
Physics60
Code50
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