GLM-5.3-Flash-GGUF vs DeepSeek-R1

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

unsloth · A · Open weights
Params
321.3 B
Context
—
30d
857 K
mit · commercial OK
deepseek-ai · B · Open weights
Params
684.5 B
Context
163,840
30d
1.4 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification GLM-5.3-Flash-GGUF DeepSeek-R1
Deployment Open weights Open weights · also via API
Parameters 321.3 B 684.5 B
Architecture — DeepseekV3ForCausalLM
Context length — 163,840
Licence mit mit
Commercial use Allowed Allowed
Languages 2 —
Downloads 30d 857,059 1,391,551
Downloads all time 1.7 M 50.3 M
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-08-26 2025-01-20
API input price / 1M tokens not on OpenRouter $0.70
API output price / 1M tokens not on OpenRouter $2.50
Est. cost per 1M input + 1M output tokens not on OpenRouter $3.20
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 11.4
AA Coding Index not on OpenRouter 24.6
AA Agentic Index not on OpenRouter 1.1
Max output tokens not on OpenRouter 16,000
API providers not on OpenRouter —
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

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

DeepSeek-R1 $3.20

Download trend

Daily snapshots, last 44 days (11 Sep – 24 Oct)

9.9 M285 K
GLM-5.3-Flash-GGUF DeepSeek-R1

VRAM side by side

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

DeepSeek-R1 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons