Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
Qwen3.6-27B
75
Verified leaderboard positions: DeepSeek V4 Pro (High) #6 · Qwen3.6-27B #13
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill.
Agentic
+10.7 difference
Coding
+3.2 difference
Knowledge
+0.4 difference
DeepSeek V4 Pro (High)
Qwen3.6-27B
$1.74 / $3.48
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Pro (High) is clearly ahead on the provisional aggregate, 83 to 75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in agentic, where it averages 70 against 59.3. The single biggest benchmark swing on the page is HLE, 34.5% to 24%.
DeepSeek V4 Pro (High) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 75. The biggest single separator in this matchup is HLE, where the scores are 34.5% and 24%.
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 62.6 versus 62.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 70.6. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70 versus 59.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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