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MiniMax M2.5 vs Llama 4 Scout
A detailed comparison of MiniMax M2.5 (MiniMax) and Llama 4 Scout (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | MiniMax M2.5 | Llama 4 Scout | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.30 | $0.18 | -40% |
| Output / 1M tokens | $1.20 | $0.63 | -48% |
| Context window | 200K | 10M | — |
| Max output | 128K | 32K | — |
Benchmark Comparison
| Benchmark | MiniMax M2.5 | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 82% | 74.2% |
| HumanEval | 90% | 86% |
Capabilities
| Capability | MiniMax M2.5 | Llama 4 Scout |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| vision | ✗ | ✓ |
MiniMax M2.5 Strengths
- ✓Frontier quality at budget pricing ($0.30/$1.20)
- ✓80.2% SWE-Bench Verified — among the best
- ✓Open-source (MIT) with 10B active params — easy to run
MiniMax M2.5 Weaknesses
- ✗Text-only — no vision or audio
- ✗No tool-use support
- ✗Newer provider — smaller ecosystem
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: MiniMax M2.5 scores higher on average across available benchmarks (86.0% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose MiniMax M2.5 if you need the best possible quality for complex tasks.