# Gemma 2 9B vs Llama-3.3-70B-Instruct

> Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-9b-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Gemma 2 9B scores higher in 2 categories and Llama-3.3-70B-Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama-3.3-70B-Instruct leads 30.5 to 9.7.
- The biggest single-benchmark swing is LiveBench Reasoning: 15.2% for Gemma 2 9B and 50.8% for Llama-3.3-70B-Instruct.

## Snapshot

| | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 25.7 | 30.3 |
| Rank | 334 | 283 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Open | Open |

## Coding

- Gemma 2 9B: 29.0 (#299)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| BigCodeBench Instruct | 34.7% | 46.9% |
| LiveBench Coding | 22.5% | 36.6% |
| LMArena Coding | 1174 | 1268 |
| BigCodeBench Complete | 40.6% | 57.5% |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |

## Agentic & Tool Use

- Gemma 2 9B: —
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Gemma 2 9B: 15.3 (#306)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Reasoning | 15.2% | 50.8% |
| LMArena Hard Prompts | 1172 | 1257 |
| LiveBench Data Analysis | 36.4% | 49.5% |
| Epoch Capabilities Index | 119.78 | 127.32 |
| LiveBench | 28.7% | 50.2% |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| DTBench | — | 59.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| PIQA | 83.7% | — |

## Math

- Gemma 2 9B: 9.3 (#312)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 5.1% |
| LiveBench Math | 19.8% | 42.2% |
| LMArena Math | 1183 | 1268 |
| MATH Level 5 | 21% | 41.6% |
| GSM8K | 84.9% | — |

## Knowledge

- Gemma 2 9B: 9.7 (#300)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 27.5% | 47.4% |
| LMArena Expert | 1147 | 1225 |
| MMLU | 72.1% | 86.3% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| BoolQ | 85.7% | — |

## Multilingual

- Gemma 2 9B: 36.8 (#233)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1188 | 1236 |
| LMArena Chinese | 1185 | 1217 |
| LMArena French | 1189 | 1280 |
| LMArena German | 1186 | 1251 |
| LMArena Japanese | 1144 | 1149 |
| LMArena Korean | 1137 | 1142 |
| LMArena Russian | 1200 | 1252 |
| LMArena Spanish | 1200 | 1269 |

## Instruction Following

- Gemma 2 9B: 57.8 (#264)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | 52.6% | 82.7% |
| LMArena Instruction Following | 1178 | 1242 |

## Long Context

- Gemma 2 9B: 36.3 (#228)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1197 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Gemma 2 9B: 32.3 (#276)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Gemma 2 9B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1207 | 1274 |
| LMArena Creative Writing | 1206 | 1250 |
| LMArena Multi-Turn | 1193 | 1279 |
| LiveBench Language | 25.5% | 39.2% |
| EQ-Bench Creative Writing | 841 | — |

## FAQ

### Is Gemma 2 9B better than Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 25.7 on the Noometry Index.

### Is Gemma 2 9B or Llama-3.3-70B-Instruct better for coding?

Llama-3.3-70B-Instruct scores higher on coding benchmarks: 30.6 versus 29.0 in the Noometry coding category.

### How many benchmarks do Gemma 2 9B and Llama-3.3-70B-Instruct share?

31 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and Llama-3.3-70B-Instruct has 43.