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Gemini 2.5 Pro vs DeepSeek R1

A detailed comparison of Gemini 2.5 Pro (Google) and DeepSeek R1 (DeepSeek) across pricing, performance, and features.

Pricing Comparison

MetricGemini 2.5 ProDeepSeek R1Difference
Input / 1M tokens$1.25$0.55-56%
Output / 1M tokens$10.00$2.19-78%
Context window1M128K
Max output65.536K64K

Benchmark Comparison

BenchmarkGemini 2.5 ProDeepSeek R1
MMLU-Pro87.5%84%
HumanEval93.5%92%
GPQA76%71.5%

Capabilities

CapabilityGemini 2.5 ProDeepSeek R1
audio
code
reasoning
text
tool-use
vision

Gemini 2.5 Pro Strengths

  • Competitive pricing for its capabilities
  • 1M context window
  • Well-tested and stable

Gemini 2.5 Pro Weaknesses

  • Being superseded by Gemini 3 Pro

DeepSeek R1 Strengths

  • Cheapest reasoning model available
  • Strong math and science performance
  • Open-source with off-peak discounts

DeepSeek R1 Weaknesses

  • Slower than non-reasoning models
  • No vision or tool-use
  • China-based — availability concerns

Quick Verdict

Best value: DeepSeek R1 is the more affordable option at $0.55/$2.19 per 1M tokens.

Higher benchmarks: Gemini 2.5 Pro scores higher on average across available benchmarks (85.7% avg).

Larger context: Gemini 2.5 Pro supports 1M tokens.

Choose DeepSeek R1 if cost matters most. Choose Gemini 2.5 Pro if you need the best possible quality for complex tasks.

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