Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
68
Qwen3.6 Plus
67
Verified leaderboard positions: DeepSeek V4 Pro #29 · Qwen3.6 Plus #15
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Agentic
+2.5 difference
Coding
+6.0 difference
Knowledge
+16.6 difference
DeepSeek V4 Pro
Qwen3.6 Plus
$1.74 / $3.48
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
DeepSeek V4 Pro finishes one point ahead on BenchLM's provisional leaderboard, 68 to 67. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Qwen3.6 Plus is the reasoning model in the pair, while DeepSeek V4 Pro 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 Pro is ahead on BenchLM's provisional leaderboard, 68 to 67. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 28.8%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.8 versus 58.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 59.1. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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