Mistral Large 4 (Medium) vs Beam 1.0
Which is better for the money: Mistral Large 4 (Medium) by Mistral or Beam 1.0 by Reflection? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-30.
Trade-off
Verdict
Depends on your budget
Mistral Large 4 (Medium) scores 5.4 points higher (23.1 vs 17.7) but costs 3.7× as much to run the benchmark ($936 vs $250; premium vs mid-range cost classes). They are not alternatives at one budget: pick Mistral Large 4 (Medium) when you need intelligence above 17.7, and Beam 1.0 when 17.7 is enough.
| Metric | Mistral Large 4 (Medium) | Beam 1.0 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 23.1 | 17.7 | −23.4% Beam 1.0 is 23.4% less intelligent |
| Total AA cost (lower is better) | $936.36 | $249.83 | −73.3% Beam 1.0 is 73.3% cheaper |
| End-to-end time (lower is better) | Not reported | 9.42s | — not comparable |
| Price per 1M tokens (in / out) | $0.70 / $2.10 | $0.40 / $1.20 | |
| Input modalities | Text, Image | Text |
Beam 1.0 vs Mistral Large 4 (Medium): 23.4% less intelligence, 73.3% less cost to run the AA benchmark, and end-to-end time not fully reported.
Today's Pareto frontier
Against the frontier
- Mistral Large 4 (Medium) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Xhigh) scores 52.30 for $718.
- Beam 1.0 is off the frontier: at the same or lower cost, GPT-6.1 Terra (Medium) scores 38.10 for $190.
Mistral Large 4 (Medium)Beam 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-4-medium/reflection-beam · Markdown: /api/v1/compare/mistral-large-4-medium/reflection-beam?format=md · llms.txt · agent skill