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DeepSeek Open sourceJan 2025

DeepSeek R1

Open-weights reasoning model that matches o1 at 1/25 the price.

Intelligence index
73/ 100
vs all models68th pctile
Composite of MMLU, GPQA, MATH & HumanEval
Speed
60tok/s
vs all models18th pctile
Median across providers, steady state
Blended price
$0.96/ 1M tokens
vs all models64th pctile
3:1 input:output blend

At a glance

Context window
128k tokens
Max output
33k tokens
Input price
$0.55 / 1M tokens
Output price
$2.19 / 1M tokens
Time to first token
1.5s
Input modalities
text
Output modalities
text
License
Open source
Provider
DeepSeek

Benchmark scores

Public scores from each provider; bars compare this model against the leader in each benchmark.

MMLU
General knowledge across 57 subjects
87.1
leader: 91.8
MMLU Pro
Harder MMLU successor with more reasoning
75.9
leader: 80.0
GPQA
Graduate-level science Q&A
71.5
leader: 78.0
MATH
Competition mathematics
90.2
leader: 94.8
HumanEval
Python code generation pass@1
91.0
leader: 95.8
Strengths
  • Reasoning at GPT-class scores
  • Open weights
  • Cheap
Weaknesses
  • Slower than non-reasoning peers
Best for
  • Self-hosted reasoning
  • Math & code
  • Cost-sensitive agents

DeepSeek R1 vs… popular head-to-heads

One-click matchups against the models people compare DeepSeek R1 with most.

DeepSeek R1 — frequently asked questions

DeepSeek R1 is a large language model from DeepSeek, released on 20 January 2025. Open-weights reasoning model that matches o1 at 1/25 the price.

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