# Gemma 2 2b IT vs Llama 2-7B

> Gemma 2 2b IT is the stronger model overall, scoring 33.1 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-2b-it-vs-llama-2-7b
- Last updated: 2026-10-12
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Gemma 2 2b IT scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 2 2b IT leads 32.3 to 23.8.

## Snapshot

| | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 33.1 | 29.1 |
| Rank | 248 | 317 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Gemma 2 2b IT: 32.3 (#273)
- Llama 2-7B: 29.2 (#307)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1112 | 1002 |

## Reasoning

- Gemma 2 2b IT: 21.4 (#224)
- Llama 2-7B: 15.7 (#312)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1009 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- Gemma 2 2b IT: 32.6 (#212)
- Llama 2-7B: 30.7 (#233)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Math | 1135 | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- Gemma 2 2b IT: 29.9 (#231)
- Llama 2-7B: 28.2 (#248)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1096 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- Gemma 2 2b IT: —
- Llama 2-7B: —

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- Gemma 2 2b IT: 32.3 (#257)
- Llama 2-7B: 23.8 (#293)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1121 | 973 |
| LMArena Chinese | 1132 | 973 |
| LMArena French | 1157 | 970 |
| LMArena German | 1114 | 978 |
| LMArena Russian | 1118 | 995 |
| LMArena Spanish | 1140 | 1007 |
| LMArena Japanese | 1083 | — |
| LMArena Korean | 1055 | — |

## Instruction Following

- Gemma 2 2b IT: 57.8 (#263)
- Llama 2-7B: 50.8 (#298)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1118 | 1006 |

## Long Context

- Gemma 2 2b IT: 34.3 (#250)
- Llama 2-7B: 30.4 (#287)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1130 | 999 |

## Writing & Preference

- Gemma 2 2b IT: 36.5 (#263)
- Llama 2-7B: 28.0 (#298)

| Benchmark | Gemma 2 2b IT | Llama 2-7B |
|---|---|---|
| LMArena Text | 1156 | 1053 |
| LMArena Creative Writing | 1147 | 1033 |
| LMArena Multi-Turn | 1118 | 1029 |

## FAQ

### Is Gemma 2 2b IT better than Llama 2-7B?

Gemma 2 2b IT is the stronger model overall, scoring 33.1 to 29.1 on the Noometry Index.

### Is Gemma 2 2b IT or Llama 2-7B better for coding?

Gemma 2 2b IT scores higher on coding benchmarks: 32.3 versus 29.2 in the Noometry coding category.

### How many benchmarks do Gemma 2 2b IT and Llama 2-7B share?

15 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and Llama 2-7B has 29.
