Model comparison
DeepSeek-V3.2-Speciale vs Gemma 2 9B
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 25.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
GoogleSummary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 3 categories and Gemma 2 9B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 15.9.
Side by side
| DeepSeek-V3.2-Speciale | Gemma 2 9B | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 39.7 | 25.9 |
| Released | 2025-12-01 | 2024-06-24 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 35 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Gemma 2 9B: 29.4 (#304)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 34.7% |
| LiveBench Coding | — | 22.5% |
| LMArena Coding | — | 1173 |
| BigCodeBench Complete | — | 40.6% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 2 9B: 15.9 (#309)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| SimpleBench | 52.6% | — |
| LiveBench Reasoning | — | 15.2% |
| LMArena Hard Prompts | — | 1171 |
| LiveBench Data Analysis | — | 36.4% |
| Epoch Capabilities Index | — | 119.83 |
| LiveBench | — | 28.7% |
| PIQA | — | 83.7% |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 9B: 9.9 (#318)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LiveBench Math | — | 19.8% |
| LMArena Math | — | 1183 |
| MATH Level 5 | — | 21% |
| GSM8K | — | 84.9% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 9B: 9.7 (#305)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| GPQA Diamond | — | 27.5% |
| LMArena Expert | — | 1147 |
| BoolQ | — | 85.7% |
| MMLU | — | 72.1% |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 9B: 36.6 (#238)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LMArena Non-English | — | 1188 |
| LMArena Chinese | — | 1185 |
| LMArena French | — | 1190 |
| LMArena German | — | 1186 |
| LMArena Japanese | — | 1144 |
| LMArena Korean | — | 1137 |
| LMArena Russian | — | 1200 |
| LMArena Spanish | — | 1200 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 9B: 57.6 (#269)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LiveBench Instruction Following | — | 52.6% |
| LMArena Instruction Following | — | 1178 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Gemma 2 9B: 36.3 (#233)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LMArena Longer Query | — | 1197 |
Writing & Preference DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 2 9B: 32.1 (#281)
| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 841 |
| LMArena Text | — | 1207 |
| LMArena Creative Writing | — | 1206 |
| LMArena Multi-Turn | — | 1193 |
| LiveBench Language | — | 25.5% |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Gemma 2 9B?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 25.9 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Gemma 2 9B better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 29.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 2 9B share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 2 9B has 35.