Qwen3.8-Flash-Next-GGUF vs GLM-4.5-Air

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

AtomicChat · A · Open weights
Params
180.0 B
Context
—
30d
467 K
zai-org · B · Open weights
Params
110.5 B
Context
131,072
30d
1.3 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.8-Flash-Next-GGUF GLM-4.5-Air
Deployment Open weights Open weights · also via API
Parameters 180.0 B 110.5 B
Architecture — Glm4MoeForCausalLM
Context length — 131,072
Licence other mit
Commercial use Unknown Allowed
Languages — 2
Downloads 30d 467,020 1,262,683
Downloads all time 1.3 M 6.5 M
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-08-26 2025-07-20
API input price / 1M tokens not on OpenRouter $0.20
API output price / 1M tokens not on OpenRouter $1.10
Est. cost per 1M input + 1M output tokens not on OpenRouter $1.30
Cached input / 1M tokens not on OpenRouter $0.03
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 98,304
API providers not on OpenRouter 3
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-4.5-Air $1.30

Download trend

Daily snapshots, last 53 days (19 Sep – 10 Nov)

1.4 M184 K
Qwen3.8-Flash-Next-GGUF GLM-4.5-Air

VRAM side by side

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

Qwen3.8-Flash-Next-GGUF · Q4_K_M 76.9 GB / 24 GB
❌ Won’t fit
GLM-4.5-Air · fp16 @ 128K ctx 508.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons