DeepSeek-V3 vs GLM-5.1

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

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3 GLM-5.1
Deployment Open weights · also via API Open weights · also via API
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 1,344,492 626,063
Downloads all time 22.5 M 1.4 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 $1.40
API output price / 1M tokens $1.03 $4.40
Est. cost per 1M input + 1M output tokens $1.29 $5.80
Cached input / 1M tokens — $0.26
AA Intelligence Index — 26.1
AA Coding Index — 55.8
AA Agentic Index — 23.9
Max output tokens 16,000 131,072
API providers 2 13
Tool calling Yes Yes
Reasoning mode No Yes

API cost

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

DeepSeek-V3 $1.29
GLM-5.1 $5.80

DeepSeek-V3 is 4.5× cheaper at list price.

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

1.5 M188 K
DeepSeek-V3 GLM-5.1

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 · fp16 @ 198K ctx 4,457.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons