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o4-mini vs Gemini 2.5 Flash
A detailed comparison of o4-mini (OpenAI) and Gemini 2.5 Flash (Google) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | Gemini 2.5 Flash | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $0.15 | -86% |
| Output / 1M tokens | $4.40 | $0.60 | -86% |
| Context window | 200K | 1M | — |
| Max output | 100K | 65.536K | — |
Benchmark Comparison
| Benchmark | o4-mini | Gemini 2.5 Flash |
|---|---|---|
| MMLU-Pro | 85% | 76% |
| HumanEval | 93.5% | 89.5% |
| GPQA | 76% | — |
Capabilities
| Capability | o4-mini | Gemini 2.5 Flash |
|---|---|---|
| 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 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: 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.