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o4-mini vs Llama 4 Maverick
A detailed comparison of o4-mini (OpenAI) and Llama 4 Maverick (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $0.31 | -72% |
| Output / 1M tokens | $4.40 | $0.85 | -81% |
| Context window | 200K | 1M | — |
| Max output | 100K | 32K | — |
Benchmark Comparison
| Benchmark | o4-mini | Llama 4 Maverick |
|---|---|---|
| MMLU-Pro | 85% | 80.5% |
| HumanEval | 93.5% | 90.2% |
| GPQA | 76% | — |
Capabilities
| Capability | o4-mini | Llama 4 Maverick |
|---|---|---|
| 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 Maverick Strengths
- ✓Open-source and self-hostable
- ✓1M context window
- ✓Very competitive via API providers
Llama 4 Maverick Weaknesses
- ✗Requires significant compute to self-host
- ✗Fewer tool-use capabilities than proprietary models
Quick Verdict
Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.
Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).
Larger context: Llama 4 Maverick supports 1M tokens.
Choose Llama 4 Maverick if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.