DeepSeek V4 Pro 0424 (Max) vs Qwen3.8 2.4T A95B
Which is better for the money: DeepSeek V4 Pro 0424 (Max) by DeepSeek or Qwen3.8 2.4T A95B by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-27.
Trade-off
Verdict
Depends on your budget
Qwen3.8 2.4T A95B scores 9.5 points higher (39.9 vs 30.4) but costs 9.5× as much to run the benchmark ($2632 vs $277; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 2.4T A95B when you need intelligence above 30.4, and DeepSeek V4 Pro 0424 (Max) when 30.4 is enough.
| Metric | DeepSeek V4 Pro 0424 (Max) | Qwen3.8 2.4T A95B | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 30.4 | 39.9 | +31.3% Qwen3.8 2.4T A95B is 31.3% more intelligent |
| Total AA cost (lower is better) | $277.30 | $2,632.05 | +849.2% Qwen3.8 2.4T A95B is 9.5× more expensive |
| End-to-end time (lower is better) | 49.90s | 64.93s | +30.1% Qwen3.8 2.4T A95B is 30.1% slower |
| Price per 1M tokens (in / out) | $0.43 / $0.87 | $2.00 / $6.00 | |
| Input modalities | Text | Text |
Qwen3.8 2.4T A95B vs DeepSeek V4 Pro 0424 (Max): 31.3% more intelligence, 849.2% more cost to run the AA benchmark, and 30.1% slower end-to-end.
Today's Pareto frontier
Against the frontier
- DeepSeek V4 Pro 0424 (Max) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
- Qwen3.8 2.4T A95B is off the frontier: at the same or lower cost, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
DeepSeek V4 Pro 0424 (Max)Qwen3.8 2.4T A95BToday'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/deepseek-v4-pro-0424/qwen3-8-2-4t-a95b · Markdown: /api/v1/compare/deepseek-v4-pro-0424/qwen3-8-2-4t-a95b?format=md · llms.txt · agent skill