Llama 4 Scout vs Pareto 26.10
Price, context window & benchmark comparison
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Compare different models
Verdict: Llama 4 Scout is 9.3× cheaper than Pareto 26.10 on a typical 3:1 input/output mix. Llama 4 Scout has the larger context window (1.3M vs 1M).
| Llama 4 Scout | Pareto 26.10 | |
|---|---|---|
| Input price / 1M | $0.10 | $0.80 |
| Output price / 1M | $0.30 | $3.20 |
| Blended price (3:1) | $0.15 | $1.40 |
| Cached input / 1M | — | $0.03 |
| Context window | 1.3M | 1M |
| Max output | 16K | 131K |
| Intelligence index | — | — |
| Coding index | 8.2 | — |
| Providers | 4 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | Yes |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Released | 2025-04-05 | 2026-10-15 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, Llama 4 Scout or Pareto 26.10?
Llama 4 Scout is 9.3× cheaper than Pareto 26.10 on a typical 3:1 input/output mix.
Llama 4 Scout vs Pareto 26.10: which has a bigger context window?
Llama 4 Scout: 1,310,720 tokens. Pareto 26.10: 1,048,576 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Llama 4 Scout ≈ $350.00, Pareto 26.10 ≈ $3,200.
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