Gemma 4 E4B (Reasoning) vs Mistral Large 3
Which is better for the money: Gemma 4 E4B (Reasoning) by Google or Mistral Large 3 by Mistral? 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
Mistral Large 3 scores 0.4 points higher (9.3 vs 8.9) but costs 3.2× as much to run the benchmark ($46.4 vs $14.7; both budget class). They are not alternatives at one budget: pick Mistral Large 3 when you need intelligence above 8.9, and Gemma 4 E4B (Reasoning) when 8.9 is enough.
| Metric | Gemma 4 E4B (Reasoning) | Mistral Large 3 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 8.9 | 9.3 | +4.5% Mistral Large 3 is 4.5% more intelligent |
| Total AA cost (lower is better) | $14.68 | $46.41 | +216.1% Mistral Large 3 is 3.2× more expensive |
| End-to-end time (lower is better) | 57.75s | 7.18s | −87.6% Mistral Large 3 is 87.6% faster |
| Price per 1M tokens (in / out) | $0.02 / $0.10 | $0.50 / $1.50 | |
| Input modalities | Text, Image, Speech, Video | Text, Image |
Mistral Large 3 vs Gemma 4 E4B (Reasoning): 4.5% more intelligence, 216.1% more cost to run the AA benchmark, and 87.6% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Gemma 4 E4B (Reasoning) is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- Mistral Large 3 is off the frontier: at the same or lower cost, GPT-6 Luna (Medium) scores 29.90 for $31.2.
Gemma 4 E4B (Reasoning)Mistral Large 3Today'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/gemma-4-e4b/mistral-large-3 · Markdown: /api/v1/compare/gemma-4-e4b/mistral-large-3?format=md · llms.txt · agent skill