Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
ZAYA1-8B
62
Verified leaderboard positions: GLM-5.1 #21 · ZAYA1-8B unranked
Pick GLM-5.1 if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+20.8 difference
GLM-5.1
ZAYA1-8B
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
203K
131K
Pick GLM-5.1 if you want the stronger benchmark profile. ZAYA1-8B 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, 83 to 62. 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 ZAYA1-8B. That is roughly Infinityx on output cost alone. GLM-5.1 gives you the larger context window at 203K, compared with 131K for ZAYA1-8B.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 62.
ZAYA1-8B has the edge for knowledge tasks in this comparison, averaging 73.1 versus 52.3. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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