Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
GLM-5.1
83
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · GLM-5.1 #21
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+8.7 difference
Coding
+15.0 difference
Knowledge
+13.8 difference
DeepSeek V4 Pro (Max)
GLM-5.1
$1.74 / $3.48
$1.4 / $4.4
N/A
N/A
N/A
N/A
1M
203K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max)'s sharpest advantage is in coding, where it averages 75.9 against 60.9. The single biggest benchmark swing on the page is BrowseComp, 83.4% to 68%.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (Max). DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 203K for GLM-5.1.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 83. The biggest single separator in this matchup is BrowseComp, where the scores are 83.4% and 68%.
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 66.1 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 60.9. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74 versus 65.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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