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Gemini 2.5 Flash vs o4-mini
A detailed comparison of Gemini 2.5 Flash (Google) and o4-mini (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Gemini 2.5 Flash | o4-mini | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.15 | $1.10 | +633% |
| Output / 1M tokens | $0.60 | $4.40 | +633% |
| Context window | 1M | 200K | — |
| Max output | 65.536K | 100K | — |
Benchmark Comparison
| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| MMLU-Pro | 76% | 85% |
| HumanEval | 89.5% | 93.5% |
| GPQA | — | 76% |
Capabilities
| Capability | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| 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
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
Quick Verdict
Best value: Gemini 2.5 Flash is the more affordable option at $0.15/$0.6 per 1M tokens.
Higher benchmarks: o4-mini scores higher on average across available benchmarks (84.8% avg).
Larger context: Gemini 2.5 Flash supports 1M tokens.
Choose Gemini 2.5 Flash if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.