Gemini 3.1 Flash-Lite vs Qwen3.8 Max (0902)
Which is better for the money: Gemini 3.1 Flash-Lite by Google or Qwen3.8 Max (0902) 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
Qwen3.8 Max (0902) scores 29.8 points higher (45.4 vs 15.6) but costs 32× as much to run the benchmark ($4935 vs $156; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 Max (0902) when you need intelligence above 15.6, and Gemini 3.1 Flash-Lite when 15.6 is enough.
| Metric | Gemini 3.1 Flash-Lite | Qwen3.8 Max (0902) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 15.6 | 45.4 | +191.0% Qwen3.8 Max (0902) is 2.9× more intelligent |
| Total AA cost (lower is better) | $155.87 | $4,934.79 | +3066.0% Qwen3.8 Max (0902) is 32× more expensive |
| End-to-end time (lower is better) | 6.09s | 62.92s | +933.2% Qwen3.8 Max (0902) is 933.2% slower |
| Price per 1M tokens (in / out) | $0.25 / $1.50 | $2.00 / $6.00 | |
| Input modalities | Text, Image, Speech, Video | Text, Image |
Qwen3.8 Max (0902) vs Gemini 3.1 Flash-Lite: 191.0% more intelligence, 3066.0% more cost to run the AA benchmark, and 933.2% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Gemini 3.1 Flash-Lite is off the frontier: at the same or lower cost, GPT-6 Luna (Max) scores 38.10 for $122.
- Qwen3.8 Max (0902) is off the frontier: at the same or lower cost, Claude Opus 5.5 (Xhigh, Default Fallback) scores 56.00 for $4057.
Gemini 3.1 Flash-LiteQwen3.8 Max (0902)Today's Pareto frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/gemini-3-1-flash-lite-preview/qwen3-8-max · Markdown: /api/v1/compare/gemini-3-1-flash-lite-preview/qwen3-8-max?format=md · llms.txt · agent skill