DeepSeek-V3 vs GLM-5.1-FP8

Specs, VRAM requirements and download trends — updated 25 October 2026.

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.4 M
zai-org · B · Open weights
Params
753.9 B
Context
202,752
30d
200 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3 GLM-5.1-FP8
Deployment Open weights · also via API Open weights
Parameters 684.5 B 753.9 B
Architecture DeepseekV3ForCausalLM GlmMoeDsaForCausalLM
Context length 163,840 202,752
Licence — mit
Commercial use Unknown Allowed
Languages — 2
Downloads 30d 1,420,996 200,338
Downloads all time 22.6 M 4.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-12-25 2026-04-03
API input price / 1M tokens $0.26 not on OpenRouter
API output price / 1M tokens $1.03 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.29 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 16,000 not on OpenRouter
API providers 2 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

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

DeepSeek-V3 $1.29

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

1.5 M200 K
DeepSeek-V3 GLM-5.1-FP8

VRAM side by side

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

DeepSeek-V3 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit
GLM-5.1-FP8 · fp16 @ 198K ctx 3,631.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons