Celeris-1 vs Gemini 2.5 Pro
Which is better for the money: Celeris-1 by Celeris or Gemini 2.5 Pro by Google? 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
Gemini 2.5 Pro scores 9.8 points higher (16.1 vs 6.3) but costs 14× as much to run the benchmark ($823 vs $60.0; premium vs mid-range cost classes). They are not alternatives at one budget: pick Gemini 2.5 Pro when you need intelligence above 6.3, and Celeris-1 when 6.3 is enough.
| Metric | Celeris-1 | Gemini 2.5 Pro | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.3 | 16.1 | +155.6% Gemini 2.5 Pro is 2.6× more intelligent |
| Total AA cost (lower is better) | $59.99 | $822.85 | +1271.6% Gemini 2.5 Pro is 14× more expensive |
| End-to-end time (lower is better) | 0.87s | 27.13s | +3018.4% Gemini 2.5 Pro is 3018.4% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.70 | $1.25 / $10.0 | |
| Input modalities | Text, Image | Text, Image, Speech, Video |
Gemini 2.5 Pro vs Celeris-1: 155.6% more intelligence, 1271.6% more cost to run the AA benchmark, and 3018.4% 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.
- Gemini 2.5 Pro is off the frontier: at the same or lower cost, GPT-6.1 Sol (Xhigh) scores 51.00 for $662.
Celeris-1Gemini 2.5 ProToday's Pareto 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/gemini-2-5-pro · Markdown: /api/v1/compare/celeris-1/gemini-2-5-pro?format=md · llms.txt · agent skill