Model comparison
DeepSeek-V3.2-Speciale vs Gemma 1.1 2b IT
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in writing & preference, where DeepSeek-V3.2-Speciale leads 46.0 to 25.1.
Side by side
| DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 29.3 |
| 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 | 16 |
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 1.1 2b IT: 30.1 (#299)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1034 |
| HumanEval+ | — | 17.7% |
| MBPP+ | — | 23.3% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 1.1 2b IT: 19.1 (#270)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1005 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 1.1 2b IT: 30.8 (#232)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Math | — | 1047 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 1.1 2b IT: 26.5 (#258)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Expert | — | 970 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 1.1 2b IT: 24.6 (#289)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Non-English | — | 988 |
| LMArena Chinese | — | 1012 |
| LMArena German | — | 944 |
| LMArena Korean | — | 899 |
| LMArena Russian | — | 990 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 1.1 2b IT: 49.9 (#299)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Instruction Following | — | 992 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 1.1 2b IT: 30.6 (#286)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Longer Query | — | 1003 |
Writing & Preference DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 1.1 2b IT: 25.1 (#306)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Text | — | 1022 |
| LMArena Creative Writing | — | 998 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 959 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemma 1.1 2b IT?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.3 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Gemma 1.1 2b IT better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 30.1 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 1.1 2b IT share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 1.1 2b IT has 16.