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glm-4.5v

zai · MIT license · on Arena since 14 Aug 2025

Lab chat Download
Arena score1333#223 of 416 in Chat, paid models included
Size107.7 B14.3 B active per token (mixture of experts)
4-bit download65 GBweights only, Q4_K_M
Max context64Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1333#223 of 4165K
Vision1154#116 of 1653K

Rank among all models, paid ones included. Source: Arena leaderboard dataset.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBDoes not fit—
RTX 4060 Ti 16 GB16 GBDoes not fit—
RTX 309024 GBGPU + 64 GB RAM10 tok/s
RTX 409024 GBGPU + 64 GB RAM11 tok/s
RTX 509032 GBGPU + 64 GB RAM13 tok/s
RX 7900 XTX24 GBGPU + 64 GB RAM10 tok/s
2 × RTX 309048 GBGPU + 64 GB RAM16 tok/s
4 × RTX 309096 GBFits in GPU41 tok/s
Mac M4 Max 128 GB96 GBFits in GPU26 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU12 tok/s
8 × H100 SXM640 GBFits in GPU131 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.

GPU memory needed

Level8K context32K contextQuality vs full
Q3_K_M56 GB61 GB+4.7% noticeable loss
Q4_K_M67 GB72 GB+1.2% very small loss
Q5_K_M79 GB83 GB+0.4% near-lossless
Q6_K90 GB95 GB+0.2% near-lossless
Q8_0117 GB121 GB≈ 0% same as full
F16218 GB222 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Chat score over time

glm-4.5v 1333Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

Vision score over time

glm-4.5v 1154Best paid model

Arena score from 10 Apr 2026 to 9 Oct 2026.

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