Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
74
GPT-5.4 mini
69
Verified leaderboard positions: GLM-5.1 #30 · GPT-5.4 mini unranked
Pick GLM-5.1 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Agentic
+0.3 difference
Knowledge
+5.1 difference
GLM-5.1
GPT-5.4 mini
$1.4 / $4.4
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
203K
400K
Pick GLM-5.1 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
GLM-5.1 is clearly ahead on the provisional aggregate, 74 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.1. GPT-5.4 mini gives you the larger context window at 400K, compared with 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 74 to 69. The biggest single separator in this matchup is HLE, where the scores are 52.3% and 41.5%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 52.3. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 65.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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