Model comparison
DeepSeek-V3.2-Speciale vs Gemma 3n E4b IT
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 19.9.
Side by side
| DeepSeek-V3.2-Speciale | Gemma 3n E4b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 37.3 |
| 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 | 18 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Gemma 3n E4b IT: 37.0 (#198)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1268 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 3n E4b IT: 19.9 (#247)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 31.5% |
| LMArena Hard Prompts | — | 1284 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 3n E4b IT: 35.1 (#188)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | — | 1251 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 3n E4b IT: 34.2 (#198)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | — | 1246 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 3n E4b IT: 43.4 (#183)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | — | 1285 |
| LMArena Chinese | — | 1309 |
| LMArena French | — | 1330 |
| LMArena German | — | 1311 |
| LMArena Japanese | — | 1272 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1288 |
| LMArena Spanish | — | 1305 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 3n E4b IT: 66.1 (#210)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | — | 1255 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 3n E4b IT: 38.7 (#191)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | — | 1276 |
Writing & Preference Gemma 3n E4b IT leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 3n E4b IT: 50.1 (#186)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | — | 1306 |
| LMArena Creative Writing | — | 1287 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1276 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemma 3n E4b IT?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.3 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Gemma 3n E4b IT better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 37.0 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 3n E4b IT share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 3n E4b IT has 18.