Celeris-1 vs DeepSeek V4 Pro 0813 (Max)
Which is better for the money: Celeris-1 by Celeris or DeepSeek V4 Pro 0813 (Max) by DeepSeek? 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
DeepSeek V4 Pro 0813 (Max) scores 29.7 points higher (36.0 vs 6.3) but costs 19× as much to run the benchmark ($1122 vs $60.0; premium vs mid-range cost classes). They are not alternatives at one budget: pick DeepSeek V4 Pro 0813 (Max) when you need intelligence above 6.3, and Celeris-1 when 6.3 is enough.
| Metric | Celeris-1 | DeepSeek V4 Pro 0813 (Max) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.3 | 36.0 | +471.4% DeepSeek V4 Pro 0813 … is 5.7× more intelligent |
| Total AA cost (lower is better) | $59.99 | $1,122.27 | +1770.8% DeepSeek V4 Pro 0813 … is 19× more expensive |
| End-to-end time (lower is better) | 0.87s | 25.78s | +2863.2% DeepSeek V4 Pro 0813 … is 2863.2% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.70 | $1.32 / $3.96 | |
| Input modalities | Text, Image | Text |
DeepSeek V4 Pro 0813 (Max) vs Celeris-1: 471.4% more intelligence, 1770.8% more cost to run the AA benchmark, and 2863.2% 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.
- DeepSeek V4 Pro 0813 (Max) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
Celeris-1DeepSeek V4 Pro 0813 (Max)Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
Compare something else
Agents:
Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/celeris-1/deepseek-v4-pro · Markdown: /api/v1/compare/celeris-1/deepseek-v4-pro?format=md · llms.txt · agent skill