DeepSeek-V3.2 vs Laguna-M.1
Specs, VRAM requirements and download trends — updated 23 October 2026.
deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
5.5 M
mit · commercial OK
poolside · B · Open weights
Params
225.8 B
Context
262,144
30d
568 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3.2 | Laguna-M.1 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 685.4 B | 225.8 B |
| Architecture | DeepseekV32ForCausalLM | LagunaForCausalLM |
| Context length | 163,840 | 262,144 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 5,461,313 | 568,241 |
| Downloads all time | 30.3 M | 585 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-01 | 2026-06-15 |
| API input price / 1M tokens | $0.28 | not on OpenRouter |
| API output price / 1M tokens | $0.42 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.70 | not on OpenRouter |
| Cached input / 1M tokens | $0.028 | not on OpenRouter |
| AA Intelligence Index | 21.5 | not on OpenRouter |
| AA Coding Index | 44.2 | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 65,536 | not on OpenRouter |
| API providers | 12 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | Yes | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3.2
$0.70
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
5.5 M199 K
DeepSeek-V3.2
Laguna-M.1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Laguna-M.1 · fp16 @ 256K ctx
1,581.1 GB / 24 GB
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB