Claude Opus 5.5 (Medium, Default Fallback) vs DeepSeek V4.1 Flash 1017 (Non-reasoning)
Which is better for the money: Claude Opus 5.5 (Medium, Default Fallback) by Anthropic or DeepSeek V4.1 Flash 1017 (Non-reasoning) by DeepSeek? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-31.
Depends on your budget
Claude Opus 5.5 (Medium, Default Fallba… scores 29.6 points higher (48.1 vs 18.5) but costs 6.5× as much to run the benchmark ($2031 vs $310; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Claude Opus 5.5 (Medium, Default Fallba… when you need intelligence above 18.5, and DeepSeek V4.1 Flash 1017 (Non-reasoning) when 18.5 is enough.
| Metric | Claude Opus 5.5 (Medium, Default Fallback) | DeepSeek V4.1 Flash 1017 (Non-reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 48.1 | 18.5 | −61.5% DeepSeek V4.1 Flash 1… is 61.5% less intelligent |
| Total AA cost (lower is better) | $2,031.27 | $310.24 | −84.7% DeepSeek V4.1 Flash 1… is 84.7% cheaper |
| End-to-end time (lower is better) | 26.92s | 4.11s | −84.7% DeepSeek V4.1 Flash 1… is 84.7% faster |
| Price per 1M tokens (in / out) | $4.00 / $20.0 | $0.30 / $1.20 | |
| Input modalities | Text, Image | Text, Image |
DeepSeek V4.1 Flash 1017 (Non-reasoning) vs Claude Opus 5.5 (Medium, Default Fallback): 61.5% less intelligence, 84.7% less cost to run the AA benchmark, and 84.7% faster end-to-end.
Against the frontier
- Claude Opus 5.5 (Medium, Default Fallback) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 54.50 for $1124.
- DeepSeek V4.1 Flash 1017 (Non-reasoning) is off the frontier: at the same or lower cost, GPT-6.1 Terra (High) scores 42.30 for $267.
Compare something else
Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/claude-opus-5-5-medium/deepseek-v4-1-flash-1017-non-reasoning · Markdown: /api/v1/compare/claude-opus-5-5-medium/deepseek-v4-1-flash-1017-non-reasoning?format=md · llms.txt · agent skill