Claude Opus 5.5 (Low, Default Fallback) vs Llama 4 Scout
Which is better for the money: Claude Opus 5.5 (Low, Default Fallback) by Anthropic or Llama 4 Scout by Meta? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-24.
Trade-off
Verdict
Depends on your budget
Claude Opus 5.5 (Low, Default Fallback) scores 35.8 points higher (42.3 vs 6.5) but costs 12× as much to run the benchmark ($860 vs $73.6; premium vs mid-range cost classes). They are not alternatives at one budget: pick Claude Opus 5.5 (Low, Default Fallback) when you need intelligence above 6.5, and Llama 4 Scout when 6.5 is enough.
| Metric | Claude Opus 5.5 (Low, Default Fallback) | Llama 4 Scout | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 42.3 | 6.5 | −84.6% Llama 4 Scout is 84.6% less intelligent |
| Total AA cost (lower is better) | $860.33 | $73.56 | −91.4% Llama 4 Scout is 91.4% cheaper |
| End-to-end time (lower is better) | 13.42s | 5.16s | −61.5% Llama 4 Scout is 61.5% faster |
| Price per 1M tokens (in / out) | $4.00 / $20.0 | $0.18 / $0.66 | |
| Input modalities | Text, Image | Text, Image |
Llama 4 Scout vs Claude Opus 5.5 (Low, Default Fallback): 84.6% less intelligence, 91.4% less cost to run the AA benchmark, and 61.5% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Claude Opus 5.5 (Low, Default Fallback) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Xhigh) scores 51.00 for $662.
- Llama 4 Scout is off the frontier: at the same or lower cost, GPT-6 Luna (Xhigh) scores 34.60 for $66.8.
Claude Opus 5.5 (Low, Default Fallback)Llama 4 ScoutToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/claude-opus-5-5-low/llama-4-scout · Markdown: /api/v1/compare/claude-opus-5-5-low/llama-4-scout?format=md · llms.txt · agent skill