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o4-mini vs Gemini 3 Pro
A detailed comparison of o4-mini (OpenAI) and Gemini 3 Pro (Google) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | Gemini 3 Pro | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $2.00 | +82% |
| Output / 1M tokens | $4.40 | $12.00 | +173% |
| Context window | 200K | 1M | — |
| Max output | 100K | 65.536K | — |
Benchmark Comparison
| Benchmark | o4-mini | Gemini 3 Pro |
|---|---|---|
| MMLU-Pro | 85% | 89.8% |
| HumanEval | 93.5% | 94% |
| GPQA | 76% | 77% |
Capabilities
| Capability | o4-mini | Gemini 3 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 Pro Strengths
- ✓Stable and well-tested
- ✓1M token context window
- ✓Strong multimodal with audio
Gemini 3 Pro Weaknesses
- ✗Being superseded by 3.1 Pro
- ✗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 Pro scores higher on average across available benchmarks (86.9% avg).
Larger context: Gemini 3 Pro supports 1M tokens.
Choose o4-mini if cost matters most. Choose Gemini 3 Pro if you need the best possible quality for complex tasks.