GLM-4.6V glm-4.6v

zai-org · glm vision efficient

unranked — no quality signals yet

params
107.7B
arch
moe
context
128k
license
mit open weights
released
Dec 2025
reasoning
yes
downloads/30d
3.9k

# why ranked

Overall: provisional — score 16.8 ● low — a single signal; treat with caution

provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.

signalweightinput (0–100)
aa_intelligence 0.50 16.8
arena_elo 0.30
bench_composite 0.20

missing signals are dropped and the remaining weights renormalized — never imputed.

full methodology

# trend

collecting history — trends appear after a few daily runs.

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 16.8 Artificial Analysis
AA Math Index 85.3 Artificial Analysis

# where to run

providerquantctx$/M in$/M out$/M blendtpsuptime
Novitabf16 128k $0.30$0.90$0.45 99.8%
Z.AIfp8 128k $0.30$0.90$0.45

blended = (3·input + output) / 4 per 1M tokens · cheapest first

source aliases
openrouter
z-ai/glm-4.6v