Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
74
Grok 4.3
74
Verified leaderboard positions: GLM-5.1 #30 · Grok 4.3 unranked
Treat this as a split decision. GLM-5.1 makes more sense if coding is the priority; Grok 4.3 is the better fit if knowledge is the priority or you want the cheaper token bill.
Coding
+13.6 difference
Knowledge
+1.6 difference
GLM-5.1
Grok 4.3
$1.4 / $4.4
$1.25 / $2.5
N/A
209 t/s
N/A
12.36s
203K
1M
Treat this as a split decision. GLM-5.1 makes more sense if coding is the priority; Grok 4.3 is the better fit if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 and Grok 4.3 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 $1.25 input / $2.50 output per 1M tokens for Grok 4.3. Grok 4.3 gives you the larger context window at 1M, compared with 203K for GLM-5.1.
GLM-5.1 and Grok 4.3 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Grok 4.3 has the edge for knowledge tasks in this comparison, averaging 53.9 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for coding in this comparison, averaging 60.9 versus 47.3. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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