DeepSeek-V3 vs GLM-5.3

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

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.5 M
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 DeepSeek-V3 GLM-5.3
Deployment Open weights · also via API Open weights · also via API
Parameters 684.5 B 753.3 B
Architecture DeepseekV3ForCausalLM GlmMoeDsaForCausalLM
Context length 163,840 1,048,576
Licence — other
Commercial use Unknown Unknown
Languages — 2
Downloads 30d 1,487,156 2,016,722
Downloads all time 23.5 M 4.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-12-25 2026-08-25
API input price / 1M tokens $0.32 $0.07
API output price / 1M tokens $0.89 $1.40
Est. cost per 1M input + 1M output tokens $1.21 $1.47
Cached input / 1M tokens — $0.069
AA Intelligence Index — 31.7
AA Coding Index — 74.8
AA Agentic Index — 53.1
Max output tokens 16,384 943,718
API providers 2 36
Tool calling Yes Yes
Reasoning mode No Yes

API cost

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

DeepSeek-V3 $1.21
GLM-5.3 $1.47

DeepSeek-V3 is 1.2× cheaper at list price.

Download trend

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

2.5 M304 K
DeepSeek-V3 GLM-5.3

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-5.3 · fp16 @ 1024K ctx 15,295.6 GB / 24 GB
❌ Won’t fit

Adjacent comparisons