GLM-5.3 vs Kimi-K2-Thinking-NVFP4

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

zai-org · A · Open weights
Params
753.3 B
Context
1,048,576
30d
2.0 M
nvidia · B · Open weights
Params
519.1 B
Context
262,144
30d
229 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification GLM-5.3 Kimi-K2-Thinking-NVFP4
Deployment Open weights · also via API Open weights
Parameters 753.3 B 519.1 B
Architecture GlmMoeDsaForCausalLM DeepseekV3ForCausalLM
Context length 1,048,576 262,144
Licence other other
Commercial use Unknown Unknown
Languages 2 —
Downloads 30d 2,043,783 228,965
Downloads all time 3.2 M 652 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-08-25 2025-12-02
API input price / 1M tokens $0.079 not on OpenRouter
API output price / 1M tokens $1.40 not on OpenRouter
Est. cost per 1M input + 1M output tokens $1.48 not on OpenRouter
Cached input / 1M tokens $0.078 not on OpenRouter
AA Intelligence Index 44.8 not on OpenRouter
AA Coding Index 74.8 not on OpenRouter
AA Agentic Index 53.1 not on OpenRouter
Max output tokens 943,718 not on OpenRouter
API providers 37 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

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

GLM-5.3 $1.48

Download trend

Daily snapshots, last 51 days (5 Sep – 25 Oct)

2.0 M171 K
GLM-5.3 Kimi-K2-Thinking-NVFP4

VRAM side by side

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

Kimi-K2-Thinking-NVFP4 · fp16 @ 256K ctx 3,145.7 GB / 24 GB
❌ Won’t fit
GLM-5.3 · fp16 @ 1024K ctx 15,295.6 GB / 24 GB
❌ Won’t fit

Adjacent comparisons