GLM-4.5-Air vs Ling-3.0-flash-GGUF

Specs, VRAM requirements and download trends — updated 10 November 2026.

zai-org · A · Open weights
Params
110.5 B
Context
131,072
30d
1.3 M
mit · commercial OK
AtomicChat · B · Open weights
Params
127.5 B
Context
262,144
30d
247 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification GLM-4.5-Air Ling-3.0-flash-GGUF
Deployment Open weights · also via API Open weights
Parameters 110.5 B 127.5 B
Architecture Glm4MoeForCausalLM —
Context length 131,072 262,144
Licence mit mit
Commercial use Allowed Allowed
Languages 2 —
Downloads 30d 1,262,683 247,103
Downloads all time 6.5 M 866 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2025-07-20 2026-08-04
API input price / 1M tokens $0.20 not on OpenRouter
API output price / 1M tokens $1.10 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.30 not on OpenRouter
Cached input / 1M tokens $0.03 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 98,304 not on OpenRouter
API providers 3 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

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

GLM-4.5-Air $1.30

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.4 M183 K
GLM-4.5-Air Ling-3.0-flash-GGUF A overtook B on 3 Oct

VRAM side by side

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

GLM-4.5-Air · fp16 @ 128K ctx 508.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons