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o4-mini vs Llama 4 Scout
A detailed comparison of o4-mini (OpenAI) and Llama 4 Scout (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | Llama 4 Scout | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $0.18 | -84% |
| Output / 1M tokens | $4.40 | $0.63 | -86% |
| Context window | 200K | 10M | — |
| Max output | 100K | 32K | — |
Benchmark Comparison
| Benchmark | o4-mini | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 85% | 74.2% |
| HumanEval | 93.5% | 86% |
| GPQA | 76% | — |
Capabilities
| Capability | o4-mini | Llama 4 Scout |
|---|---|---|
| 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
Llama 4 Scout Strengths
- ✓10M token context — largest available
- ✓Open-source
- ✓Ultra cheap via API providers
Llama 4 Scout Weaknesses
- ✗Lower benchmarks than Maverick
- ✗Limited tool-use support
Quick Verdict
Best value: Llama 4 Scout is the more affordable option at $0.18/$0.63 per 1M tokens.
Higher benchmarks: o4-mini scores higher on average across available benchmarks (84.8% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.