Model comparison
Gemma 1.1 7b IT vs phi-3-medium 14B
Gemma 1.1 7b IT is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
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MicrosoftSummary
- The widest gap is in knowledge, where Gemma 1.1 7b IT leads 27.8 to 9.1.
Side by side
| Gemma 1.1 7b IT | phi-3-medium 14B | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 30.7 | 29.1 |
| Released | — | 2024-04-23 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 19 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Gemma 1.1 7b IT: 31.0 (#279), phi-3-medium 14B: 36.3 (#198)
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1084 | — |
| BigCodeBench Complete | — | 48.7% |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Reasoning Not comparable
Gemma 1.1 7b IT: 19.6 (#235), phi-3-medium 14B: —
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1071 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 29.5 (#217), phi-3-medium 14B: 25.2 (#249)
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1107 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 27.8 (#242), phi-3-medium 14B: 9.1 (#301)
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Gemma 1.1 7b IT: 28.3 (#268), phi-3-medium 14B: —
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1052 | — |
| LMArena Chinese | 1060 | — |
| LMArena French | 1064 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Russian | 1046 | — |
| LMArena Spanish | 1049 | — |
Instruction Following Not comparable
Gemma 1.1 7b IT: 54.3 (#278), phi-3-medium 14B: —
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1057 | — |
Long Context Not comparable
Gemma 1.1 7b IT: 32.0 (#267), phi-3-medium 14B: —
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1056 | — |
Writing & Preference Not comparable
Gemma 1.1 7b IT: 30.6 (#283), phi-3-medium 14B: —
| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1094 | — |
| LMArena Creative Writing | 1059 | — |
| LMArena Multi-Turn | 1040 | — |
Frequently asked questions
Is Gemma 1.1 7b IT better than phi-3-medium 14B?
Gemma 1.1 7b IT is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Is Gemma 1.1 7b IT or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and phi-3-medium 14B share?
0 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and phi-3-medium 14B has 13.