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Llama 4 Scout vs GPT-5.2 Codex
A detailed comparison of Llama 4 Scout (Meta) and GPT-5.2 Codex (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Llama 4 Scout | GPT-5.2 Codex | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.18 | $1.75 | +872% |
| Output / 1M tokens | $0.63 | $14.00 | +2122% |
| Context window | 10M | 200K | — |
| Max output | 32K | 65.536K | — |
Benchmark Comparison
| Benchmark | Llama 4 Scout | GPT-5.2 Codex |
|---|---|---|
| MMLU-Pro | 74.2% | 89% |
| HumanEval | 86% | 95.5% |
| GPQA | — | 76% |
Capabilities
| Capability | Llama 4 Scout | GPT-5.2 Codex |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✗ | ✓ |
| vision | ✓ | ✓ |
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
GPT-5.2 Codex Strengths
- ✓Strong coding performance
- ✓Available via API now
- ✓200K context window
GPT-5.2 Codex Weaknesses
- ✗Being superseded by 5.3
- ✗Higher output cost than some competitors
Quick Verdict
Best value: Llama 4 Scout is the more affordable option at $0.18/$0.63 per 1M tokens.
Higher benchmarks: GPT-5.2 Codex scores higher on average across available benchmarks (86.8% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose GPT-5.2 Codex if you need the best possible quality for complex tasks.