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DeepSeek R1 vs Gemini 2.5 Pro

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

Pricing Comparison

MetricDeepSeek R1Gemini 2.5 ProDifference
Input / 1M tokens$0.55$1.25+127%
Output / 1M tokens$2.19$10.00+357%
Context window128K1M
Max output64K65.536K

Benchmark Comparison

BenchmarkDeepSeek R1Gemini 2.5 Pro
MMLU-Pro84%87.5%
HumanEval92%93.5%
GPQA71.5%76%

Capabilities

CapabilityDeepSeek R1Gemini 2.5 Pro
audio
code
reasoning
text
tool-use
vision

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

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  • Being superseded by Gemini 3 Pro

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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