GLM-5.3 (Max) vs Granite 4.2 8B
Which is better for the money: GLM-5.3 (Max) by Z AI or Granite 4.2 8B by IBM? 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 33.7 points higher (44.8 vs 11.1) but costs 47× as much to run the benchmark ($2503 vs $53.1; flagship vs mid-range cost classes). They are not alternatives at one budget: pick GLM-5.3 (Max) when you need intelligence above 11.1, and Granite 4.2 8B when 11.1 is enough.
| Metric | GLM-5.3 (Max) | Granite 4.2 8B | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 44.8 | 11.1 | −75.2% Granite 4.2 8B is 75.2% less intelligent |
| Total AA cost (lower is better) | $2,503.48 | $53.07 | −97.9% Granite 4.2 8B is 97.9% cheaper |
| End-to-end time (lower is better) | 28.73s | 52.08s | +81.3% Granite 4.2 8B is 81.3% slower |
| Price per 1M tokens (in / out) | $1.40 / $4.40 | $0.06 / $0.25 | |
| Input modalities | Text | Text |
Granite 4.2 8B vs GLM-5.3 (Max): 75.2% less intelligence, 97.9% less cost to run the AA benchmark, and 81.3% slower 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.
- Granite 4.2 8B is off the frontier: at the same or lower cost, GPT-6 Luna (High) scores 32.90 for $47.9.
GLM-5.3 (Max)Granite 4.2 8BToday'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/granite-4-2-8b · Markdown: /api/v1/compare/glm-5-3/granite-4-2-8b?format=md · llms.txt · agent skill