GLM-5.2 vs DeepSeek-V3.2-Exp
Specs, VRAM requirements and download trends — updated 15 August 2026.
deepseek-ai · B · Open weights
Params
685.4 B
Context
163,840
30d
170 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | GLM-5.2 | DeepSeek-V3.2-Exp |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 753.3 B | 685.4 B |
| Architecture | GlmMoeDsaForCausalLM | DeepseekV32ForCausalLM |
| Context length | 1,048,576 | 163,840 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 2 | — |
| Downloads 30d | 320,374 | 170,167 |
| Downloads all time | 5.1 M | 1.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-06-16 | 2025-09-29 |
| API input price / 1M tokens | $0.006 | $0.27 |
| API output price / 1M tokens | $6.80 | $0.41 |
| Est. cost per 1M input + 1M output tokens | $6.81 | $0.68 |
| Cached input / 1M tokens | $0.005 | — |
| AA Intelligence Index | — | — |
| AA Coding Index | 68.8 | — |
| AA Agentic Index | 38.4 | — |
| Max output tokens | 943,718 | 147,456 |
| API providers | 24 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
GLM-5.2
$6.81
DeepSeek-V3.2-Exp
$0.68
DeepSeek-V3.2-Exp is 10.0× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.8 M170 K
GLM-5.2
DeepSeek-V3.2-Exp
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.2-Exp · fp16 @ 160K ctx
2,815.1 GB / 24 GB
GLM-5.2 · fp16 @ 1024K ctx
16,121.8 GB / 24 GB