Model comparison
DeepSeek-V3.2-Speciale vs Gemma 2 2b IT
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 33.1 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 21.4.
Side by side
| DeepSeek-V3.2-Speciale | Gemma 2 2b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 33.1 |
| 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 | 17 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Gemma 2 2b IT: 32.3 (#273)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1112 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 2 2b IT: 21.4 (#224)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1113 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 2b IT: 32.6 (#212)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Math | — | 1135 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 2b IT: 29.9 (#231)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Expert | — | 1096 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 2b IT: 32.3 (#257)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1132 |
| LMArena French | — | 1157 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 1083 |
| LMArena Korean | — | 1055 |
| LMArena Russian | — | 1118 |
| LMArena Spanish | — | 1140 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 2b IT: 57.8 (#263)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Instruction Following | — | 1118 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 2b IT: 34.3 (#250)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Longer Query | — | 1130 |
Writing & Preference DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 2 2b IT: 36.5 (#263)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 2b IT |
|---|---|---|
| LMArena Text | — | 1156 |
| LMArena Creative Writing | — | 1147 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1118 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemma 2 2b IT?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 33.1 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Gemma 2 2b IT better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 32.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 2 2b IT share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 2 2b IT has 17.