DeepSeek-V3 vs GLM-5
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3 | 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 |
| Commercial use | Unknown | Allowed |
| Languages | — | 2 |
| Downloads 30d | 1,487,156 | 1,390,848 |
| Downloads all time | 23.5 M | 3.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-12-25 | 2026-02-11 |
| API input price / 1M tokens | $0.32 | $1.00 |
| API output price / 1M tokens | $0.89 | $3.20 |
| Est. cost per 1M input + 1M output tokens | $1.21 | $4.20 |
| Cached input / 1M tokens | — | $0.20 |
| AA Intelligence Index | — | — |
| AA Coding Index | — | — |
| AA Agentic Index | — | — |
| Max output tokens | 16,384 | 131,072 |
| API providers | 2 | 8 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3
$1.21
GLM-5
$4.20
DeepSeek-V3 is 3.5× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.7 M157 K
DeepSeek-V3
GLM-5
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3 · fp16 @ 160K ctx
2,811.5 GB / 24 GB
GLM-5 · fp16 @ 198K ctx
4,457.7 GB / 24 GB