Model comparison
Deepseek Coder v2 vs Gemma 1.1 7b IT
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
DeepSeek
GoogleSummary
- They share 19 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Gemma 1.1 7b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Deepseek Coder v2 leads 36.3 to 28.1.
Side by side
| Deepseek Coder v2 | Gemma 1.1 7b IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 35.9 | 31.3 |
| Released | 2024-06-17 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 19 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), Gemma 1.1 7b IT: 31.5 (#284)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Coding | 1251 | 1084 |
| HumanEval+ | 82.3% | 35.4% |
| MBPP+ | 75.1% | 45% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Gemma 1.1 7b IT: 20.5 (#238)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1071 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), Gemma 1.1 7b IT: 32.0 (#220)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Math | 1241 | 1107 |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), Gemma 1.1 7b IT: 28.3 (#247)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Expert | 1181 | 1039 |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Deepseek Coder v2 leads
Deepseek Coder v2: 36.3 (#240), Gemma 1.1 7b IT: 28.1 (#273)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Non-English | 1182 | 1052 |
| LMArena Chinese | 1201 | 1061 |
| LMArena French | 1185 | 1065 |
| LMArena German | 1164 | 1054 |
| LMArena Japanese | 1126 | 971 |
| LMArena Korean | 1104 | 988 |
| LMArena Russian | 1188 | 1046 |
| LMArena Spanish | 1153 | 1049 |
Instruction Following Deepseek Coder v2 leads
Deepseek Coder v2: 61.7 (#242), Gemma 1.1 7b IT: 54.0 (#283)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Instruction Following | 1180 | 1057 |
Long Context Deepseek Coder v2 leads
Deepseek Coder v2: 37.0 (#224), Gemma 1.1 7b IT: 32.1 (#272)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Longer Query | 1219 | 1056 |
Writing & Preference Deepseek Coder v2 leads
Deepseek Coder v2: 38.2 (#253), Gemma 1.1 7b IT: 30.4 (#288)
| Benchmark | Deepseek Coder v2 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Text | 1191 | 1094 |
| LMArena Creative Writing | 1120 | 1060 |
| LMArena Multi-Turn | 1177 | 1040 |
Frequently asked questions
Is Deepseek Coder v2 better than Gemma 1.1 7b IT?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.3 on the Noometry Index.
Is Deepseek Coder v2 or Gemma 1.1 7b IT better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 31.5 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Gemma 1.1 7b IT share?
19 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemma 1.1 7b IT has 19.