GLM-5.3-Flash-GGUF vs GLM-4.7

Specs, VRAM requirements and download trends — updated 24 October 2026.

unsloth · A · Open weights
Params
321.3 B
Context
—
30d
857 K
mit · commercial OK
zai-org · B · Open weights
Params
358.3 B
Context
202,752
30d
81 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification GLM-5.3-Flash-GGUF GLM-4.7
Deployment Open weights Open weights · also via API
Parameters 321.3 B 358.3 B
Architecture — Glm4MoeForCausalLM
Context length — 202,752
Licence mit mit
Commercial use Allowed Allowed
Languages 2 2
Downloads 30d 857,059 80,924
Downloads all time 1.7 M 910 K
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-08-26 2025-12-22
API input price / 1M tokens not on OpenRouter $0.54
API output price / 1M tokens not on OpenRouter $1.98
Est. cost per 1M input + 1M output tokens not on OpenRouter $2.52
Cached input / 1M tokens not on OpenRouter $0.099
AA Intelligence Index not on OpenRouter 22.2
AA Coding Index not on OpenRouter 45.3
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 131,072
API providers not on OpenRouter 6
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

GLM-4.7 $2.52

Download trend

Daily snapshots, last 44 days (11 Sep – 24 Oct)

1.1 M83 K
GLM-5.3-Flash-GGUF GLM-4.7

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

GLM-4.7 · fp16 @ 198K ctx 2,119.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons