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o4-mini vs Gemini 3.1 Pro

A detailed comparison of o4-mini (OpenAI) and Gemini 3.1 Pro (Google) across pricing, performance, and features.

Pricing Comparison

Metrico4-miniGemini 3.1 ProDifference
Input / 1M tokens$1.10$2.00+82%
Output / 1M tokens$4.40$12.00+173%
Context window200K1M
Max output100K64K

Benchmark Comparison

Benchmarko4-miniGemini 3.1 Pro
MMLU-Pro85%91%
HumanEval93.5%95%
GPQA76%94.3%

Capabilities

Capabilityo4-miniGemini 3.1 Pro
audio
code
reasoning
text
tool-use
vision

o4-mini Strengths

  • Affordable reasoning model
  • 200K context window
  • Good for math and science

o4-mini Weaknesses

  • Slower than non-reasoning models
  • Reasoning tokens add to effective cost

Gemini 3.1 Pro Strengths

  • #1 on 12 of 18 tracked benchmarks
  • 94.3% GPQA Diamond — highest of any model
  • Same price as Gemini 3 Pro (free upgrade)
  • 1M context with configurable thinking levels

Gemini 3.1 Pro Weaknesses

  • Still in preview
  • Context-tiered pricing ($4/$18 above 200K)

Quick Verdict

Best value: o4-mini is the more affordable option at $1.1/$4.4 per 1M tokens.

Higher benchmarks: Gemini 3.1 Pro scores higher on average across available benchmarks (93.4% avg).

Larger context: Gemini 3.1 Pro supports 1M tokens.

Choose o4-mini if cost matters most. Choose Gemini 3.1 Pro if you need the best possible quality for complex tasks.

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