Mistral Large 3 vs Beam 1.0
Which is better for the money: Mistral Large 3 by Mistral or Beam 1.0 by Reflection? 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
Beam 1.0 scores 21.0 points higher (30.3 vs 9.3) but costs 6.9× as much to run the benchmark ($319 vs $46.4; mid-range vs budget cost classes). They are not alternatives at one budget: pick Beam 1.0 when you need intelligence above 9.3, and Mistral Large 3 when 9.3 is enough.
| Metric | Mistral Large 3 | Beam 1.0 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 9.3 | 30.3 | +225.8% Beam 1.0 is 3.3× more intelligent |
| Total AA cost (lower is better) | $46.41 | $318.73 | +586.8% Beam 1.0 is 6.9× more expensive |
| End-to-end time (lower is better) | 7.18s | 8.02s | +11.7% Beam 1.0 is 11.7% slower |
| Price per 1M tokens (in / out) | $0.50 / $1.50 | $0.40 / $1.20 | |
| Input modalities | Text, Image | Text |
Beam 1.0 vs Mistral Large 3: 225.8% more intelligence, 586.8% more cost to run the AA benchmark, and 11.7% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Mistral Large 3 is off the frontier: at the same or lower cost, GPT-6 Luna (Medium) scores 29.90 for $31.2.
- Beam 1.0 is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Mistral Large 3Beam 1.0Today'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-large-3/reflection-beam · Markdown: /api/v1/compare/mistral-large-3/reflection-beam?format=md · llms.txt · agent skill