Model comparison
DeepSeek-V3.2-Speciale vs Laguna M.1
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
PoolsideSummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 21.9.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Laguna M.1 | |
|---|---|---|
| Provider | DeepSeek | Poolside |
| Noometry Index | 39.1 | 31.9 |
| Released | 2025-12-01 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 3 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Laguna M.1: 36.4 (#195)
| Benchmark | DeepSeek-V3.2-Speciale | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1348 |
| WeirdML | 46.7% | — |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Laguna M.1: 21.9 (#187)
| Benchmark | DeepSeek-V3.2-Speciale | Laguna M.1 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Laguna M.1: 20.3 (#276)
| Benchmark | DeepSeek-V3.2-Speciale | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), Laguna M.1: —
| Benchmark | DeepSeek-V3.2-Speciale | Laguna M.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Laguna M.1?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Laguna M.1 better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Laguna M.1 share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Laguna M.1 has 3.