Celeris-1 vs GLM-5.3 (Max)
Which is better for the money: Celeris-1 by Celeris or GLM-5.3 (Max) by Z AI? 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
GLM-5.3 (Max) scores 38.5 points higher (44.8 vs 6.3) but costs 42× as much to run the benchmark ($2503 vs $60.0; flagship vs mid-range cost classes). They are not alternatives at one budget: pick GLM-5.3 (Max) when you need intelligence above 6.3, and Celeris-1 when 6.3 is enough.
| Metric | Celeris-1 | GLM-5.3 (Max) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.3 | 44.8 | +611.1% GLM-5.3 (Max) is 7.1× more intelligent |
| Total AA cost (lower is better) | $59.99 | $2,503.48 | +4073.2% GLM-5.3 (Max) is 42× more expensive |
| End-to-end time (lower is better) | 0.87s | 31.61s | +3533.3% GLM-5.3 (Max) is 3533.3% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.70 | $1.40 / $4.40 | |
| Input modalities | Text, Image | Text |
GLM-5.3 (Max) vs Celeris-1: 611.1% more intelligence, 4073.2% more cost to run the AA benchmark, and 3533.3% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Celeris-1 is off the frontier: at the same or lower cost, Claude Haiku 5.5 (Medium) scores 34.50 for $56.4.
- 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.
Celeris-1GLM-5.3 (Max)Today'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/celeris-1/glm-5-3 · Markdown: /api/v1/compare/celeris-1/glm-5-3?format=md · llms.txt · agent skill