Model comparison
DeepSeek-V3.2-Speciale vs Longcat Flash Chat
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in writing & preference, where Longcat Flash Chat leads 61.0 to 46.0.
Side by side
| DeepSeek-V3.2-Speciale | Longcat Flash Chat | |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 39.7 | 42.1 |
| Released | 2025-12-01 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 19 |
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Category by category
Coding Longcat Flash Chat leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Longcat Flash Chat: 43.5 (#87)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1471 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Longcat Flash Chat: 19.0 (#272)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 43.9% |
| NYT Connections (extended) | — | 17.7% |
| LMArena Hard Prompts | — | 1440 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Longcat Flash Chat: 39.4 (#107)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Math | — | 1442 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Longcat Flash Chat: 40.6 (#116)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | — | 1454 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Longcat Flash Chat: 51.9 (#101)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1456 |
| LMArena German | — | 1408 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1371 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1445 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Longcat Flash Chat: 74.4 (#96)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | — | 1411 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Longcat Flash Chat: 43.5 (#93)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | — | 1425 |
Writing & Preference Longcat Flash Chat leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Longcat Flash Chat: 61.0 (#91)
| Benchmark | DeepSeek-V3.2-Speciale | Longcat Flash Chat |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1388 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1418 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Longcat Flash Chat?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 39.7 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Longcat Flash Chat share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Longcat Flash Chat has 19.