Model comparison
DeepSeek-V2.5 (Sep 2024) vs Gemma 1.1 2b IT
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
DeepSeek
GoogleSummary
- They share 16 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 8 categories and Gemma 1.1 2b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 25.1.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 37.6 | 29.3 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 16 |
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Category by category
Coding DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Gemma 1.1 2b IT: 30.1 (#299)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Coding | 1309 | 1034 |
| HumanEval+ | 83.5% | 17.7% |
| MBPP+ | 74.1% | 23.3% |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Gemma 1.1 2b IT: 19.1 (#270)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1005 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Gemma 1.1 2b IT: 30.8 (#232)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Math | 1288 | 1047 |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Gemma 1.1 2b IT: 26.5 (#258)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Expert | 1266 | 970 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Gemma 1.1 2b IT: 24.6 (#289)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Non-English | 1273 | 988 |
| LMArena Chinese | 1318 | 1012 |
| LMArena German | 1258 | 944 |
| LMArena Korean | 1209 | 899 |
| LMArena Russian | 1289 | 990 |
| LMArena French | 1289 | — |
| LMArena Japanese | 1228 | — |
| LMArena Spanish | 1248 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Gemma 1.1 2b IT: 49.9 (#299)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Instruction Following | 1280 | 992 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Gemma 1.1 2b IT: 30.6 (#286)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Longer Query | 1301 | 1003 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Gemma 1.1 2b IT: 25.1 (#306)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemma 1.1 2b IT |
|---|---|---|
| LMArena Text | 1294 | 1022 |
| LMArena Creative Writing | 1285 | 998 |
| LMArena Multi-Turn | 1297 | 959 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Gemma 1.1 2b IT?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.3 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Gemma 1.1 2b IT better for coding?
DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 30.1 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemma 1.1 2b IT share?
16 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemma 1.1 2b IT has 16.