DeepSeek

DeepSeek R1heredadoAbierto

The open reasoning model that reshaped the frontier in early 2025.

#637lanzado 27 may 2025·Open Weights·671B (37B active MoE)
text163.8K ctxreasoning
API providersClasificación
Intelligence
5.4 #637
Top 91% tier
Output speed
60 t/s
TTFT ~0.8s · ITL 16.7 ms/tok
Blended price (3:1)
$0.478 /1M
In $0.27/M · Out $1.1/M
Context
163.8K
≈ 410 A4 pages · max out 16384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek R1
Claude Mythos Preview (#1)
Average (68)
Coding (20)Mathematics (15)Hard Science (GPQA) (15)Agentic & Tool Use (20)Knowledge (MMLU) (5.4)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Metodología.

API deployment

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Puntuaciones por Fuente

Puntuaciones por Categoría

Resultados de Benchmarks

Detalles del Modelo

Fecha de Lanzamiento
27 may 2025
Parámetros
671B (37B active MoE)
Licencia
Open Weights
Ventana de Contexto
163,800 tokens
Precio de Entrada
$0.27/M
Precio de Salida
$1.1/M
Velocidad de Salida
60 t/s
Tiempo al Primer Token

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
[![LLMPodium Rank](https://llmpodium.com/badge/deepseek-r1/rank.svg)](https://llmpodium.com/models/deepseek-r1)
BibTeX
@misc{llmpodium2026deepseekr1,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek R1},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-r1}
}

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