DeepSeek-R1-0528 vs GLM-5

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

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-R1-0528 GLM-5
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 mit
Commercial use Allowed Allowed
Languages — 2
Downloads 30d 166,405 1,020,783
Downloads all time 17.0 M 2.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-05-28 2026-02-11
API input price / 1M tokens $0.50 $1.00
API output price / 1M tokens $2.15 $3.20
Est. cost per 1M input + 1M output tokens $2.65 $4.20
Cached input / 1M tokens $0.35 $0.20
AA Intelligence Index 13.1 27.9
AA Coding Index — —
AA Agentic Index — —
Max output tokens 32,768 131,072
API providers 3 8
Tool calling Yes Yes
Reasoning mode Yes Yes

API cost

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

DeepSeek-R1-0528 $2.65
GLM-5 $4.20

DeepSeek-R1-0528 is 1.6× cheaper at list price.

Download trend

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

1.0 M157 K
DeepSeek-R1-0528 GLM-5

VRAM side by side

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

DeepSeek-R1-0528 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit
GLM-5 · fp16 @ 198K ctx 4,457.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons