DeepSeek

DeepSeek R1ancienOuvert

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

#637publié le 27 mai 2025·Open Weights·671B (37B active MoE)
text163.8K ctxreasoning
API providersClassement
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 Méthodologie.

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
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Scores par Source

Scores par Catégorie

Résultats de Benchmarks

Détails du Modèle

Date de Sortie
27 mai 2025
Paramètres
671B (37B active MoE)
Licence
Open Weights
Fenêtre de Contexte
163,800 tokens
Prix Entrée
$0.27/M
Prix Sortie
$1.1/M
Vitesse Sortie
60 t/s
Temps au Premier 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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