DeepSeek R1 Distill Qwen 14B
DeepSeekDeepSeekOpen WeightMIT · Uso Comercial
Descripción
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.
Fecha de lanzamiento
2025-01-20
Parámetros
14.8B
Longitud del contexto
—
Modalidades
—
Radar de capacidades
28
general
35
coding
64
reasoning
31
science
55
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 385 | 25.0 | AA |
| Ranking general | 417 | 31.0 | AA |
| Ciencia | 435 | 30.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
59.1%Aut.
Code
LiveCodeBench
53.1%Aut.
Math
MATH-500
93.9%Aut.
AIME 2024
80.0%Aut.
Índices de evaluación AA
(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
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Math90
Reasoning70
General70
Physics60
Biology60
Chemistry60
Code50
Precios
Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
No hay datos de proveedores disponibles