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o4-mini vs Gemini 2.5 Pro
A detailed comparison of o4-mini (OpenAI) and Gemini 2.5 Pro (Google) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | Gemini 2.5 Pro | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $1.25 | +14% |
| Output / 1M tokens | $4.40 | $10.00 | +127% |
| Context window | 200K | 1M | — |
| Max output | 100K | 65.536K | — |
Benchmark Comparison
| Benchmark | o4-mini | Gemini 2.5 Pro |
|---|---|---|
| MMLU-Pro | 85% | 87.5% |
| HumanEval | 93.5% | 93.5% |
| GPQA | 76% | 76% |
Capabilities
| Capability | o4-mini | Gemini 2.5 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 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- ✗Being superseded by Gemini 3 Pro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: o4-mini is the more affordable option at $1.1/$4.4 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 o4-mini if cost matters most. Choose Gemini 2.5 Pro if you need the best possible quality for complex tasks.