GLM-5.3 vs DeepSeek-V3.1
Specs, VRAM requirements and download trends — updated 24 October 2026.
deepseek-ai · B · Open weights
Params
684.5 B
Context
163,840
30d
316 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | GLM-5.3 | DeepSeek-V3.1 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 753.3 B | 684.5 B |
| Architecture | GlmMoeDsaForCausalLM | DeepseekV3ForCausalLM |
| Context length | 1,048,576 | 163,840 |
| Licence | other | mit |
| Commercial use | Unknown | Allowed |
| Languages | 2 | — |
| Downloads 30d | 1,942,665 | 316,373 |
| Downloads all time | 3.1 M | 3.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-08-25 | 2025-08-21 |
| API input price / 1M tokens | $0.079 | $0.25 |
| API output price / 1M tokens | $1.40 | $0.95 |
| Est. cost per 1M input + 1M output tokens | $1.48 | $1.20 |
| Cached input / 1M tokens | $0.078 | $0.13 |
| AA Intelligence Index | 44.8 | 13.7 |
| AA Coding Index | 74.8 | — |
| AA Agentic Index | 53.1 | — |
| Max output tokens | 943,718 | 32,768 |
| API providers | 37 | 5 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
GLM-5.3
$1.48
DeepSeek-V3.1
$1.20
DeepSeek-V3.1 is 1.2× cheaper at list price.
Download trend
Daily snapshots, last 50 days (5 Sep – 24 Oct)
1.9 M213 K
GLM-5.3
DeepSeek-V3.1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.1 · fp16 @ 160K ctx
2,811.5 GB / 24 GB
GLM-5.3 · fp16 @ 1024K ctx
15,295.6 GB / 24 GB