GLM-5.3 (Max) vs Llama 4 Scout
Which is better for the money: GLM-5.3 (Max) by Z AI or Llama 4 Scout by Meta? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
GLM-5.3 (Max) scores 38.3 points higher (44.8 vs 6.5) but costs 34× as much to run the benchmark ($2503 vs $73.6; flagship vs mid-range cost classes). They are not alternatives at one budget: pick GLM-5.3 (Max) when you need intelligence above 6.5, and Llama 4 Scout when 6.5 is enough.
| Metric | GLM-5.3 (Max) | Llama 4 Scout | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 44.8 | 6.5 | −85.5% Llama 4 Scout is 85.5% less intelligent |
| Total AA cost (lower is better) | $2,503.48 | $73.56 | −97.1% Llama 4 Scout is 97.1% cheaper |
| End-to-end time (lower is better) | 31.62s | 5.06s | −84.0% Llama 4 Scout is 84.0% faster |
| Price per 1M tokens (in / out) | $1.40 / $4.40 | $0.18 / $0.66 | |
| Input modalities | Text | Text, Image |
Llama 4 Scout vs GLM-5.3 (Max): 85.5% less intelligence, 97.1% less cost to run the AA benchmark, and 84.0% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GLM-5.3 (Max) is off the frontier: at the same or lower cost, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
- Llama 4 Scout is off the frontier: at the same or lower cost, GPT-6 Luna (Xhigh) scores 34.60 for $66.8.
GLM-5.3 (Max)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/glm-5-3/llama-4-scout · Markdown: /api/v1/compare/glm-5-3/llama-4-scout?format=md · llms.txt · agent skill