Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E4B
37
GLM-5.1
82
Verified leaderboard positions: Gemma 4 E4B unranked · GLM-5.1 #29
Pick GLM-5.1 if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+13.3 difference
Gemma 4 E4B
GLM-5.1
$0 / $0
$1.4 / $4.4
N/A
N/A
N/A
N/A
128K
203K
Pick GLM-5.1 if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 82 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 Gemma 4 E4B. That is roughly Infinityx on output cost alone. GLM-5.1 gives you the larger context window at 203K, compared with 128K for Gemma 4 E4B.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 82 to 37.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 52.3. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.