DeepSeek R1 Distill Qwen 1.5B
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
1.8B
Longitud del contexto
—
Modalidades
—
Radar de capacidades
10
general
7
coding
27
reasoning
7
science
21
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 535 | 5.0 | AA |
| Ranking general | 572 | 9.0 | AA |
| Ciencia | 574 | 5.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
33.8%Aut.
Code
LiveCodeBench
16.9%Aut.
Math
MATH-500
83.9%Aut.
AIME 2024
52.7%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)22.0
Intelligence Index(Artificial Analysis)3.3
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.3
Aime 25(MAA (Mathematical Association of America))0.2
Aime(MAA (Mathematical Association of America))0.2
Ifbench(Google Research (2023))0.1
Gpqa(NYU + Cohere + Anthropic (2023))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Lcr(Artificial Analysis)0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Math70
Reasoning50
General50
Physics30
Biology30
Chemistry30
Code20
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