DeepSeek R1 0528 (May '25)
DeepSeekDeepSeekOpen WeightMIT · Uso Comercial
Descripción
DeepSeek-R1-0528 is the May 28, 2025 version of DeepSeek's reasoning model. It features advanced thinking capabilities and serves as a benchmark comparison for newer models like DeepSeek-V3.1. This model excels in complex reasoning tasks, mathematical problem-solving, and code generation through its thinking mode approach.
Fecha de lanzamiento
2025-05-28
Parámetros
671.0B
Longitud del contexto
164K
Modalidades
text
Radar de capacidades
35
general
77
coding
83
reasoning
61
science
10
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 80 | 39.0 | LS |
| Ranking de codificación | 250 | 57.0 | AA |
| Ranking general | 321 | 41.0 | AA |
| Ciencia | 229 | 54.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
80.2%Aut.
Toolathlon
35.2%Aut.
Factuality
SimpleQA
92.3%Aut.
General
Aider-Polyglot
71.6%Aut.
Language
MMLU-Redux
93.4%Aut.
MMLU-Pro
85.0%Aut.
Math
AIME 2024
91.4%Aut.
AIME 2025
87.5%Aut.
HMMT 2025
79.4%Aut.
CodeForces
0.64 / 3000Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
81.0%Aut.
LiveCodeBench
73.3%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
46.4%Aut.
SWE-Bench Verified
44.6%Aut.
BrowseComp-zh
35.7%Aut.
SWE-bench Multilingual
30.5%Aut.
Humanity's Last Exam
17.7%Aut.
BrowseCompOpenAI (2025)
8.9%Aut.
Terminal-Bench
5.7%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))98.3
Aime(MAA (Mathematical Association of America))89.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))84.9
Gpqa(NYU + Cohere + Anthropic (2023))81.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))77.0
Math Index(Artificial Analysis)76.0
Aime 25(MAA (Mathematical Association of America))76.0
Lcr(Artificial Analysis)55.7
Ifbench(Google Research (2023))39.6
Tau2(Sierra + U Toronto + Vector Institute (2025))36.5
Terminalbench Hard(Stanford × Laude Institute (2026))15.9
Hle(Center for AI Safety + Scale AI (2025))15.8
Intelligence Index(Artificial Analysis)13.1
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language90
Factuality90
Legal80
Physics80
Finance80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning60
General60
Code50
Frontend Development40
Search20
Vision20
Agents10
Precios
Precio de entrada$1.35 / 1M tokens
Precio de salida$3 / 1M tokens
Precio mixto (3:1)$1.763 / 1M tokens
Precio de lectura caché$0.35 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
11 proveedores
Más barato: DeepInfraMás caro: Azure
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2NanoGPT
$0.4
$1.7
3OpenRouter
$0.5
$2.15
4Alibaba (China)
$0.574
$2.294
5TensorX
$0.66
$2.6
6Jiekou.AI
$0.7
$2.5
7NovitaAI
$0.7
$2.5
8Kilo Gateway
$0.7
$2.5
9DeepSeekPRINCIPAL
$1.35
$3
10Azure Cognitive Services
$1.35
$5.4
11Azure
$1.35
$5.4
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