# Gemma 1.1 7b IT vs Llama 13b

> Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-1-1-7b-it-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemma 1.1 7b IT leads 54.0 to 36.7.

## Snapshot

| | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 31.3 | 24.4 |
| Rank | 277 | 348 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Gemma 1.1 7b IT: 31.5 (#284)
- Llama 13b: 21.4 (#337)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Coding | 1084 | 683 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |

## Reasoning

- Gemma 1.1 7b IT: 20.5 (#238)
- Llama 13b: 14.0 (#329)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1071 | 728 |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Gemma 1.1 7b IT: 32.0 (#220)
- Llama 13b: 26.7 (#256)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Math | 1107 | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- Gemma 1.1 7b IT: 28.3 (#247)
- Llama 13b: —

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Gemma 1.1 7b IT: —
- Llama 13b: —

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- Gemma 1.1 7b IT: 28.1 (#273)
- Llama 13b: 16.6 (#297)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Non-English | 1052 | 819 |
| 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)
- Llama 13b: 36.7 (#305)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1057 | 781 |

## Long Context

- Gemma 1.1 7b IT: 32.1 (#272)
- Llama 13b: —

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1056 | — |

## Writing & Preference

- Gemma 1.1 7b IT: 30.4 (#288)
- Llama 13b: 13.8 (#312)

| Benchmark | Gemma 1.1 7b IT | Llama 13b |
|---|---|---|
| LMArena Text | 1094 | 834 |
| LMArena Creative Writing | 1060 | 794 |
| LMArena Multi-Turn | 1040 | 753 |

## FAQ

### Is Gemma 1.1 7b IT better than Llama 13b?

Gemma 1.1 7b IT is the stronger model overall, scoring 31.3 to 24.4 on the Noometry Index.

### Is Gemma 1.1 7b IT or Llama 13b better for coding?

Gemma 1.1 7b IT scores higher on coding benchmarks: 31.5 versus 21.4 in the Noometry coding category.

### How many benchmarks do Gemma 1.1 7b IT and Llama 13b share?

8 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and Llama 13b has 21.