LFM2.5-24B-A2B vs Llama 4 Scout
Price, context window & benchmark comparison
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Compare different models
Verdict: Llama 4 Scout is 29% cheaper than LFM2.5-24B-A2B on a typical 3:1 input/output mix. Llama 4 Scout has the larger context window (1.3M vs 128K).
| LFM2.5-24B-A2B | Llama 4 Scout | |
|---|---|---|
| Input price / 1M | $0.05 | $0.10 |
| Output price / 1M | $0.70 | $0.30 |
| Blended price (3:1) | $0.21 | $0.15 |
| Cached input / 1M | $0.025 | — |
| Context window | 128K | 1.3M |
| Max output | 8K | 16K |
| Intelligence index | — | — |
| Coding index | — | 8.2 |
| Providers | — | 4 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Released | 2026-10-13 | 2025-04-05 |
| Retirement | — | — |
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FAQ
Which is cheaper, LFM2.5-24B-A2B or Llama 4 Scout?
Llama 4 Scout is 29% cheaper than LFM2.5-24B-A2B on a typical 3:1 input/output mix.
LFM2.5-24B-A2B vs Llama 4 Scout: which has a bigger context window?
LFM2.5-24B-A2B: 128,000 tokens. Llama 4 Scout: 1,310,720 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: LFM2.5-24B-A2B ≈ $450.00, Llama 4 Scout ≈ $350.00.
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