Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
Qwen 3.6 Max (preview)
81
Verified leaderboard positions: DeepSeek V4 Flash #23 · Qwen 3.6 Max (preview) unranked
Pick Qwen 3.6 Max (preview) if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if coding is the priority or you need the larger 1M context window.
Agentic
+16.3 difference
Coding
+3.0 difference
Knowledge
+28.7 difference
DeepSeek V4 Flash
Qwen 3.6 Max (preview)
$0.14 / $0.28
N/A
N/A
N/A
N/A
N/A
1M
256K
Pick Qwen 3.6 Max (preview) if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if coding is the priority or you need the larger 1M context window.
Qwen 3.6 Max (preview) is clearly ahead on the provisional aggregate, 81 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen 3.6 Max (preview)'s sharpest advantage is in knowledge, where it averages 73.9 against 45.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 49.1% to 65.4%. DeepSeek V4 Flash does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen 3.6 Max (preview) is the reasoning model in the pair, while DeepSeek V4 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 256K for Qwen 3.6 Max (preview).
Qwen 3.6 Max (preview) is ahead on BenchLM's provisional leaderboard, 81 to 59. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 49.1% and 65.4%.
Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 versus 45.2. DeepSeek V4 Flash stays close enough that the answer can still flip depending on your workload.
DeepSeek V4 Flash has the edge for coding in this comparison, averaging 57.1 versus 54.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen 3.6 Max (preview) has the edge for agentic tasks in this comparison, averaging 65.4 versus 49.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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