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GLM-5.3-Flash

zai · MIT license · on Arena since 27 Aug 2026

Lab chat Download
Arena score1471#29 of 416 in Chat, paid models included
Size321.3 B25.4 B active per token (mixture of experts)
4-bit download195 GBweights only, Q4_K_M
Max context1024Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1471#29 of 41633K
Coding1605#27 of 14418K
Vision1296#23 of 16511K

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 GBDoes not fit—
RTX 409024 GBDoes not fit—
RTX 509032 GBDoes not fit—
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBDoes not fit—
4 × RTX 309096 GBDoes not fit—
Mac M4 Max 128 GB96 GBDoes not fit—
Ryzen AI Max+ 395 128 GB96 GBDoes not fit—
8 × H100 SXM640 GBFits in GPU123 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 context128K contextQuality vs full
Q3_K_M161 GB162 GB163 GB+4.7% noticeable loss
Q4_K_M195 GB196 GB197 GB+1.2% very small loss
Q5_K_M229 GB229 GB231 GB+0.4% near-lossless
Q6_K264 GB264 GB266 GB+0.2% near-lossless
Q8_0342 GB342 GB344 GB≈ 0% same as full
F16643 GB644 GB645 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-5.3-Flash 1471Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

Vision score over time

GLM-5.3-Flash 1296Best paid model

Arena score from 10 Apr 2026 to 9 Oct 2026.

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