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DeepSeek vs Qwen: 2026 benchmark comparison
Compare DeepSeek and Alibaba Qwen on overall, coding, reasoning and Chinese public benchmarks.
Last collected by this site: 2026-11-15 06:40 (UTC+8, Asia/Shanghai). Source publication dates are in the table or the citations below.
Compare DeepSeek and Alibaba Qwen on overall, coding, reasoning and Chinese public benchmarks.
DeepSeek v4.1 Flash 20260910
- DeepSeek v4.1 Flash 20260910 (Max)DeepSeek · overall 85.6
- DeepSeek V4 Pro High 20260813DeepSeek · overall 82.0
- DeepSeek R1 0528DeepSeek · overall 80.7
- DeepSeek v4.1 Flash 1017DeepSeek · overall 77.6
- DeepSeek V4 Pro Preview (High)DeepSeek · overall 76.8
- DeepSeek v3.2DeepSeek · overall 76.2
qwen3.6 Max Preview
- qwen3.6 Max PreviewAlibaba · overall 78.2
- qwen3.6 PlusAlibaba · overall 75.3
- qwen3.8 (Max)Alibaba · overall 75.0
- qwen3.5 397b A17bAlibaba · overall 72.7
- qwen3.5 122b A10bAlibaba · overall 68.2
- qwen3.5 27bAlibaba · overall 67.3
Flagship comparison (best overall variant in each family)
| Metric | DeepSeek v4.1 Flash 20260910 (Max) | qwen3.6 Max Preview |
|---|---|---|
| Overall | 85.6 | 78.2 |
| AA Intelligence Index | — | — |
| LMArena Text | 1,475 | 1,460 |
| LiveBench overall | — | — |
| Coding | 71.7 | 53.7 |
| Reasoning | 93.6 | 89.9 |
| Chinese (SuperCLUE or arena) | 1,526.2 | 1,492.4 |
| Vision arena | 1,263 | — |
This is not a declaration of an overall winner between labs. It places the same public scores side by side. See the methodology page for the full rules.
Sources
- LMArena Text Arena (style-controlled) — Official Arena leaderboard dataset, text_style_control / latest. Scores are Arena ratings (Bradley-Terry).
- LMArena WebDev Arena — Official webdev / latest snapshot, measuring front-end and web-app battles.
- LMArena Vision Arena (style-controlled) — Official vision_style_control / latest snapshot.
- LMArena Text-to-Image Arena — Official text_to_image / latest snapshot.
- LMArena Text-to-Video Arena — Official text_to_video / latest snapshot.
- LMArena Agent Arena — Official agent / latest aggregate scores.
- Artificial Analysis Intelligence Index — Intelligence Index, cost per task, time per task and first-token latency from the official public leaderboard page.
- LiveBench 2.0 — Official CSV results. Overall uses the published formula: Long Agentic ×2, Design ×1.5, Coding ×1.5, other suites ×1, then a weighted mean over suites that have a score.
- Aider Polyglot — Official polyglot_leaderboard.yml. The metric is pass_rate_2 on 225 cross-language exercises. Repeated submissions keep the best score.
- SWE-bench Verified (mini-SWE-agent) — Official leaderboards.json, Verified board, resolved % under the mini-SWE-agent protocol so models are compared in a similar scaffold. Scores from other agents are not mixed into the composite coding score.
- SuperCLUE Chinese general board — Total and section scores from the official monthly general-board spreadsheet.
FAQ
- Where do these scores come from?
- Every score comes from a public benchmark or official machine-readable file, with a source link and date. This site does not invent scores, and missing values are not treated as zero.
- Do you only compare a single winner from each lab?
- Each comparison lists leading flagship families from both labs and the same-source breakdowns. When a family has several variants (for example High or Max), the variant with the better overall score is used.
- Are site prices part of the benchmarks?
- No. Benchmark scores come from third-party public boards. CNY prices are this site’s catalogue reference rates (CNY 1 = 1,000 points) and are settled on actual usage. They are shown separately so billing is not confused with quality.