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DeepSeek R1 vs Gemini 2.5 Flash

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

Pricing Comparison

MetricDeepSeek R1Gemini 2.5 FlashDifference
Input / 1M tokens$0.55$0.15-73%
Output / 1M tokens$2.19$0.60-73%
Context window128K1M
Max output64K65.536K

Benchmark Comparison

BenchmarkDeepSeek R1Gemini 2.5 Flash
MMLU-Pro84%76%
HumanEval92%89.5%
GPQA71.5%

Capabilities

CapabilityDeepSeek R1Gemini 2.5 Flash
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 Flash Strengths

  • One of the cheapest models available
  • 1M context at budget pricing
  • Free tier available

Gemini 2.5 Flash Weaknesses

  • Weaker than Flash 3 on most benchmarks
  • Output quality inconsistent on edge cases

Quick Verdict

Best value: Gemini 2.5 Flash is the more affordable option at $0.15/$0.6 per 1M tokens.

Higher benchmarks: Gemini 2.5 Flash scores higher on average across available benchmarks (82.8% avg).

Larger context: Gemini 2.5 Flash supports 1M tokens.

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

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