Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
68
GLM-5.1
82
Verified leaderboard positions: GLM-4.7 unranked · GLM-5.1 #25
Pick GLM-5.1 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+20.0 difference
Coding
+9.7 difference
Knowledge
+8.3 difference
GLM-4.7
GLM-5.1
$0 / $0
$1.4 / $4.4
82 t/s
N/A
1.10s
N/A
200K
203K
Pick GLM-5.1 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 82 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in agentic, where it averages 65.3 against 45.3. The single biggest benchmark swing on the page is HLE, 24.8% to 52.3%. GLM-4.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. GLM-5.1 gives you the larger context window at 203K, compared with 200K for GLM-4.7.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 82 to 68. The biggest single separator in this matchup is HLE, where the scores are 24.8% and 52.3%.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 60.6 versus 52.3. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 60.9. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.3 versus 45.3. 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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