Llama 4 Scout vs Ring-2.6-1T
Which is better for the money: Llama 4 Scout by Meta 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 10.1 points higher (16.6 vs 6.5) but costs 7.8× as much to run the benchmark ($576 vs $73.6; premium vs mid-range cost classes). They are not alternatives at one budget: pick Ring-2.6-1T when you need intelligence above 6.5, and Llama 4 Scout when 6.5 is enough.
| Metric | Llama 4 Scout | Ring-2.6-1T | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.5 | 16.6 | +155.4% Ring-2.6-1T is 2.6× more intelligent |
| Total AA cost (lower is better) | $73.56 | $575.60 | +682.5% Ring-2.6-1T is 7.8× more expensive |
| End-to-end time (lower is better) | 4.99s | 24.04s | +381.8% Ring-2.6-1T is 381.8% slower |
| Price per 1M tokens (in / out) | $0.18 / $0.66 | $0.30 / $2.50 | |
| Input modalities | Text, Image | Text |
Ring-2.6-1T vs Llama 4 Scout: 155.4% more intelligence, 682.5% more cost to run the AA benchmark, and 381.8% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Llama 4 Scout is off the frontier: at the same or lower cost, GPT-6 Luna (Xhigh) scores 34.60 for $66.8.
- Ring-2.6-1T is off the frontier: at the same or lower cost, GPT-6.1 Sol (High) scores 50.20 for $521.
Llama 4 ScoutRing-2.6-1TToday'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/llama-4-scout/ring-2-6-1t · Markdown: /api/v1/compare/llama-4-scout/ring-2-6-1t?format=md · llms.txt · agent skill