Model comparison
DeepSeek-V2.5 (Sep 2024) vs Gemma 2 2b IT
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 32.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
GoogleSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Gemma 2 2b IT in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 50.0 to 36.6.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 37.0 | 32.5 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 17 |
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Category by category
Coding Too close to call
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Gemma 2 2b IT: 31.8 (#268)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Coding | 1310 | 1112 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Gemma 2 2b IT: 20.5 (#219)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1113 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Gemma 2 2b IT: 30.1 (#212)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Math | 1289 | 1135 |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Gemma 2 2b IT: 29.3 (#229)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Expert | 1266 | 1096 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Gemma 2 2b IT: 32.5 (#252)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Non-English | 1273 | 1121 |
| LMArena Chinese | 1317 | 1132 |
| LMArena French | 1288 | 1156 |
| LMArena German | 1258 | 1114 |
| LMArena Japanese | 1228 | 1083 |
| LMArena Korean | 1209 | 1055 |
| LMArena Russian | 1289 | 1118 |
| LMArena Spanish | 1248 | 1140 |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Gemma 2 2b IT: 58.1 (#258)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Instruction Following | 1280 | 1118 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Gemma 2 2b IT: 34.2 (#245)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Longer Query | 1301 | 1130 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Gemma 2 2b IT: 36.6 (#258)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 2 2b IT |
|---|---|---|
| LMArena Text | 1294 | 1156 |
| LMArena Creative Writing | 1285 | 1147 |
| LMArena Multi-Turn | 1297 | 1118 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Gemma 2 2b IT?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 32.5 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Gemma 2 2b IT better for coding?
They score almost the same on coding (31.3 vs 31.8); test both on your own repository before choosing.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemma 2 2b IT share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemma 2 2b IT has 17.