Ornith-1.0-397B-FP8 vs GLM-5.3

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

deepreinforce-ai · A · Open weights
Params
397.0 B
Context
—
30d
673 K
mit · commercial OK
zai-org · B · Open weights
Params
753.3 B
Context
1,048,576
30d
2.0 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification Ornith-1.0-397B-FP8 GLM-5.3
Deployment Open weights Open weights · also via API
Parameters 397.0 B 753.3 B
Architecture Qwen3_5MoeForConditionalGeneration GlmMoeDsaForCausalLM
Context length — 1,048,576
Licence mit other
Commercial use Allowed Unknown
Languages — 2
Downloads 30d 672,806 2,016,722
Downloads all time 771 K 4.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-06-25 2026-08-25
API input price / 1M tokens not on OpenRouter $0.07
API output price / 1M tokens not on OpenRouter $1.40
Est. cost per 1M input + 1M output tokens not on OpenRouter $1.47
Cached input / 1M tokens not on OpenRouter $0.069
AA Intelligence Index not on OpenRouter 31.7
AA Coding Index not on OpenRouter 74.8
AA Agentic Index not on OpenRouter 53.1
Max output tokens not on OpenRouter 943,718
API providers not on OpenRouter 36
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-5.3 $1.47

Download trend

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

2.5 M304 K
Ornith-1.0-397B-FP8 GLM-5.3

VRAM side by side

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

Ornith-1.0-397B-FP8 · fp16 505.7 GB / 24 GB
❌ Won’t fit
GLM-5.3 · fp16 @ 1024K ctx 15,295.6 GB / 24 GB
❌ Won’t fit

Adjacent comparisons