DeepSeek-V3.2 vs GLM-5
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
7.6 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3.2 | GLM-5 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 685.4 B | 753.9 B |
| Architecture | DeepseekV32ForCausalLM | GlmMoeDsaForCausalLM |
| Context length | 163,840 | 202,752 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 2 |
| Downloads 30d | 7,616,440 | 1,390,848 |
| Downloads all time | 35.7 M | 3.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-01 | 2026-02-11 |
| API input price / 1M tokens | $0.26 | $1.00 |
| API output price / 1M tokens | $0.38 | $3.20 |
| Est. cost per 1M input + 1M output tokens | $0.64 | $4.20 |
| Cached input / 1M tokens | $0.13 | $0.20 |
| AA Intelligence Index | — | — |
| AA Coding Index | 44.2 | — |
| AA Agentic Index | — | — |
| Max output tokens | 147,456 | 131,072 |
| API providers | 7 | 8 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3.2
$0.64
GLM-5
$4.20
DeepSeek-V3.2 is 6.6× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M157 K
DeepSeek-V3.2
GLM-5
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB
GLM-5 · fp16 @ 198K ctx
4,457.7 GB / 24 GB