Model comparison
DeepSeek-V3.2-Speciale vs Kimi K2 Thinking Turbo
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in writing & preference, where Kimi K2 Thinking Turbo leads 60.0 to 46.0.
Side by side
| DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 39.7 | 45.8 |
| Released | 2025-12-01 | 2025-11-06 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 21 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Kimi K2 Thinking Turbo: 38.4 (#178)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena WebDev | — | 1322 |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1454 |
Reasoning Too close to call
DeepSeek-V3.2-Speciale: 32.9 (#73), Kimi K2 Thinking Turbo: 32.5 (#75)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | — | 1428 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Kimi K2 Thinking Turbo: 47.4 (#68)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 83.1% |
| LMArena Math | — | 1429 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Kimi K2 Thinking Turbo: 50.9 (#69)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | — | 84.2% |
| LMArena Expert | — | 1439 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Kimi K2 Thinking Turbo: 51.4 (#109)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | — | 1398 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1425 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1357 |
| LMArena Korean | — | 1330 |
| LMArena Russian | — | 1391 |
| LMArena Spanish | — | 1406 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Kimi K2 Thinking Turbo: 74.0 (#109)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | — | 1403 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Kimi K2 Thinking Turbo: 43.2 (#102)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Kimi K2 Thinking Turbo leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Kimi K2 Thinking Turbo: 60.0 (#104)
| Benchmark | DeepSeek-V3.2-Speciale | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | — | 1415 |
| LMArena Creative Writing | — | 1374 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1414 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Kimi K2 Thinking Turbo?
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 39.7 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Kimi K2 Thinking Turbo better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 38.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Kimi K2 Thinking Turbo share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Kimi K2 Thinking Turbo has 21.