DeepSeek-V3 vs GLM-5.3-NVFP4

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
nvidia · B · Open weights
Params
753.3 B
Context
1,048,576
30d
237 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3 GLM-5.3-NVFP4
Deployment Open weights · also via API Open weights
Parameters 684.5 B 753.3 B
Architecture DeepseekV3ForCausalLM GlmMoeDsaForCausalLM
Context length 163,840 1,048,576
Licence — other
Commercial use Unknown Unknown
Languages — —
Downloads 30d 1,487,156 237,499
Downloads all time 23.5 M 276 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-12-25 2026-09-14
API input price / 1M tokens $0.32 not on OpenRouter
API output price / 1M tokens $0.89 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.21 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 16,384 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 $1.21

Download trend

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

1.7 M150 K
DeepSeek-V3 GLM-5.3-NVFP4

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-NVFP4 · fp16 @ 1024K ctx 14,975.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons