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AI Models · Compare

Gemini 2.5 Pro vs DeepSeek R1

Side-by-side intelligence, speed, price, benchmarks, strengths and weaknesses for Gemini 2.5 Pro and DeepSeek R1 — refreshed monthly.

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Gemini 2.5 Pro

ProprietarySep 2025

2M-token context + native multimodality — unbeatable for huge docs.

Open docs
DeepSeek

DeepSeek R1

Open sourceJan 2025

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

Open docs

Head to head

Spec
Gemini 2.5 Pro
DeepSeek R1
Intelligence index↑ better
Winner78
73
Speed↑ better
Winner110 tok/s
60 tok/s
Time to first token↓ better
Winner0.7 s
1.5 s
Context window↑ better
Winner2M
128k
Max output↑ better
Winner66k
33k
Input price↓ better
$1.25 / 1M tokens
Winner$0.55 / 1M tokens
Output price↓ better
$5.00 / 1M tokens
Winner$2.19 / 1M tokens
Blended price↓ better
$2.19 / 1M tokens
Winner$0.96 / 1M tokens
License
Proprietary
Open source
Input modalities
text, image, audio, video
text
Output modalities
text
text

Benchmark showdown

MMLU
Gemini 2.5 Pro
89.5
DeepSeek R1
87.1
MMLU Pro
Gemini 2.5 Pro
78.5
DeepSeek R1
75.9
GPQA
Gemini 2.5 Pro
66.0
DeepSeek R1
71.5
MATH
Gemini 2.5 Pro
91.0
DeepSeek R1
90.2
HumanEval
Gemini 2.5 Pro
91.5
DeepSeek R1
91.0

Strengths, weaknesses and best-for

Gemini 2.5 Pro
Strengths
  • 2M context
  • Native video understanding
  • Strong on math
Weaknesses
  • Output ceiling lower than competitors
Best for
  • Whole-codebase analysis
  • Long-doc workflows
  • Video QA
DeepSeek R1
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

Quick verdict

  • Pick Gemini 2.5 Pro if you want it smarter, faster and longer context.
  • Pick DeepSeek R1 if you want it cheaper.

Auto-generated from the spec sheet. Always validate on your own evals.

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