Granite 4.2 8B vs Qwen3.7 Max
Which is better for the money: Granite 4.2 8B by IBM or Qwen3.7 Max by Alibaba? 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
Qwen3.7 Max scores 18.4 points higher (29.5 vs 11.1) but costs 43× as much to run the benchmark ($2277 vs $53.1; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 11.1, and Granite 4.2 8B when 11.1 is enough.
| Metric | Granite 4.2 8B | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 11.1 | 29.5 | +165.8% Qwen3.7 Max is 2.7× more intelligent |
| Total AA cost (lower is better) | $53.07 | $2,277.12 | +4190.8% Qwen3.7 Max is 43× more expensive |
| End-to-end time (lower is better) | 46.99s | 16.62s | −64.6% Qwen3.7 Max is 64.6% faster |
| Price per 1M tokens (in / out) | $0.06 / $0.25 | $2.50 / $7.50 | |
| Input modalities | Text | Text |
Qwen3.7 Max vs Granite 4.2 8B: 165.8% more intelligence, 4190.8% more cost to run the AA benchmark, and 64.6% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Granite 4.2 8B is off the frontier: at the same or lower cost, GPT-6 Luna (High) scores 32.90 for $47.9.
- Qwen3.7 Max is off the frontier: at the same or lower cost, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
Granite 4.2 8BQwen3.7 MaxToday'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/granite-4-2-8b/qwen3-7-max · Markdown: /api/v1/compare/granite-4-2-8b/qwen3-7-max?format=md · llms.txt · agent skill