Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
GLM-5.1
83
Verified leaderboard positions: DeepSeek V4 Pro (High) #6 · GLM-5.1 #21
Treat this as a split decision. DeepSeek V4 Pro (High) makes more sense if coding is the priority or you want the cheaper token bill; GLM-5.1 is the better fit if its strengths line up with your actual workload.
Agentic
+4.7 difference
Coding
+12.9 difference
Knowledge
+10.3 difference
DeepSeek V4 Pro (High)
GLM-5.1
$1.74 / $3.48
$1.4 / $4.4
N/A
N/A
N/A
N/A
1M
203K
Treat this as a split decision. DeepSeek V4 Pro (High) makes more sense if coding is the priority or you want the cheaper token bill; GLM-5.1 is the better fit if its strengths line up with your actual workload.
DeepSeek V4 Pro (High) and GLM-5.1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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 (High). DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 203K for GLM-5.1.
DeepSeek V4 Pro (High) and GLM-5.1 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 62.6 versus 52.3. 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 60.9. Inside this category, SWE-bench Pro 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 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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