← All Comparisons

Gemini 2.5 Flash vs DeepSeek R1

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

Pricing Comparison

MetricGemini 2.5 FlashDeepSeek R1Difference
Input / 1M tokens$0.15$0.55+267%
Output / 1M tokens$0.60$2.19+265%
Context window1M128K
Max output65.536K64K

Benchmark Comparison

BenchmarkGemini 2.5 FlashDeepSeek R1
MMLU-Pro76%84%
HumanEval89.5%92%
GPQA71.5%

Capabilities

CapabilityGemini 2.5 FlashDeepSeek R1
code
reasoning
text
tool-use
vision

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

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: 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.

More Comparisons