Models / Compare /DeepSeek V3.2 vs GLM 5
Head to head
DeepSeek V3.2 vs GLM 5
Compared on live catalog data — pricing synced daily, benchmark scores with provenance.
The short version
- DeepSeek V3.2 is cheaper to run hosted: $0.40/M output vs $2.55/M for GLM 5 (6.4× difference at the cheapest tracked provider).
- GLM 5 takes 205K tokens of context vs 164K for DeepSeek V3.2.
- GLM 5 scores 1497.4049 on Arena Coding vs 1469.5929 for DeepSeek V3.2.
- GLM 5 scores 1446.2097 on Arena Creative Writing vs 1400.3738 for DeepSeek V3.2.
| Spec | ||
|---|---|---|
| Vendor | DeepSeek | Z.AI |
| Parameters | 685B / 37B | 754B |
| 164K | 205K | |
| Weights | OPEN | OPEN |
| License | MIT License | MIT License |
| Modality | text->text | text->text |
| Released | Dec 1, 2025 | Feb 11, 2026 |
| 432.1 GBest | 475.3 GBest | |
| Cheapest hosted | $0.27 / $0.40 per 1M (Novita AI) | $0.95 / $2.55 per 1M (OpenRouter) |
| Tracked providers | 19 | 17 |
DeepSeek V3.2 — our take
DeepSeek V3.2 is a large downloadable text model with a permissive MIT licence and a 163,840-token request limit. Only 37 billion of its 685.4 billion total parameters are active per token, keeping inference costs down while measured coding performance is the clear peak in its benchmark profile.
full breakdown →GLM 5 — our take
GLM 5 is a large downloadable text model from Z.AI with a permissive MIT licence and a 204,800-token request limit. It scores well on coding leaderboards and is available from nine different providers, though its total parameter count may overstate its actual per-token workload.
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