Mistral Small 3.1 vs Ring-2.6-1T
Which is better for the money: Mistral Small 3.1 by Mistral or Ring-2.6-1T by InclusionAI? 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
Ring-2.6-1T scores 9.5 points higher (16.6 vs 7.1) but costs 21× as much to run the benchmark ($576 vs $27.8; premium vs budget cost classes). They are not alternatives at one budget: pick Ring-2.6-1T when you need intelligence above 7.1, and Mistral Small 3.1 when 7.1 is enough.
| Metric | Mistral Small 3.1 | Ring-2.6-1T | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 7.1 | 16.6 | +133.8% Ring-2.6-1T is 2.3× more intelligent |
| Total AA cost (lower is better) | $27.82 | $575.60 | +1969.0% Ring-2.6-1T is 21× more expensive |
| End-to-end time (lower is better) | 11.25s | 24.04s | +113.7% Ring-2.6-1T is 113.7% slower |
| Price per 1M tokens (in / out) | $0.08 / $0.14 | $0.30 / $2.50 | |
| Input modalities | Text, Image | Text |
Ring-2.6-1T vs Mistral Small 3.1: 133.8% more intelligence, 1969.0% more cost to run the AA benchmark, and 113.7% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Mistral Small 3.1 is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- Ring-2.6-1T is off the frontier: at the same or lower cost, GPT-6.1 Sol (High) scores 50.20 for $521.
Mistral Small 3.1Ring-2.6-1TToday'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/mistral-small-3-1/ring-2-6-1t · Markdown: /api/v1/compare/mistral-small-3-1/ring-2-6-1t?format=md · llms.txt · agent skill