Celeris-1 vs DeepSeek V4 Pro 0424 (Max)
Which is better for the money: Celeris-1 by Celeris or DeepSeek V4 Pro 0424 (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 0424 (Max) scores 24.1 points higher (30.4 vs 6.3) but costs 4.6× as much to run the benchmark ($277 vs $60.0; both mid-range class). They are not alternatives at one budget: pick DeepSeek V4 Pro 0424 (Max) when you need intelligence above 6.3, and Celeris-1 when 6.3 is enough.
| Metric | Celeris-1 | DeepSeek V4 Pro 0424 (Max) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.3 | 30.4 | +382.5% DeepSeek V4 Pro 0424 … is 4.8× more intelligent |
| Total AA cost (lower is better) | $59.99 | $277.30 | +362.2% DeepSeek V4 Pro 0424 … is 4.6× more expensive |
| End-to-end time (lower is better) | 0.87s | 48.87s | +5517.2% DeepSeek V4 Pro 0424 … is 5517.2% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.70 | $0.43 / $0.87 | |
| Input modalities | Text, Image | Text |
DeepSeek V4 Pro 0424 (Max) vs Celeris-1: 382.5% more intelligence, 362.2% more cost to run the AA benchmark, and 5517.2% 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 0424 (Max) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Celeris-1DeepSeek V4 Pro 0424 (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/deepseek-v4-pro-0424 · Markdown: /api/v1/compare/celeris-1/deepseek-v4-pro-0424?format=md · llms.txt · agent skill