# Gemma 1.1 7b IT vs phi-3-medium 14B

> Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-1-1-7b-it-vs-phi-3-medium-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Gemma 1.1 7b IT leads 28.3 to 9.1.

## Snapshot

| | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| Provider | Google | Microsoft |
| Noometry Index | 31.3 | 29.7 |
| Rank | 277 | 306 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Gemma 1.1 7b IT: 31.5 (#284)
- phi-3-medium 14B: 36.8 (#201)

| 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

- Gemma 1.1 7b IT: 20.5 (#238)
- 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 | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- Gemma 1.1 7b IT: 32.0 (#220)
- phi-3-medium 14B: 27.3 (#250)

| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1107 | — |
| MATH Level 5 | — | 17.6% |

## Knowledge

- Gemma 1.1 7b IT: 28.3 (#247)
- phi-3-medium 14B: 9.1 (#306)

| 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

- Gemma 1.1 7b IT: 28.1 (#273)
- phi-3-medium 14B: —

| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1052 | — |
| LMArena Chinese | 1061 | — |
| LMArena French | 1065 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Russian | 1046 | — |
| LMArena Spanish | 1049 | — |

## Instruction Following

- Gemma 1.1 7b IT: 54.0 (#283)
- phi-3-medium 14B: —

| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1057 | — |

## Long Context

- Gemma 1.1 7b IT: 32.1 (#272)
- phi-3-medium 14B: —

| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1056 | — |

## Writing & Preference

- Gemma 1.1 7b IT: 30.4 (#288)
- phi-3-medium 14B: —

| Benchmark | Gemma 1.1 7b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1094 | — |
| LMArena Creative Writing | 1060 | — |
| LMArena Multi-Turn | 1040 | — |

## FAQ

### Is Gemma 1.1 7b IT better than phi-3-medium 14B?

Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 29.7 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: 36.8 versus 31.5 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.