Model comparison
Gemma 7B vs Llama 3.1-8B
Gemma 7B is the stronger model overall, scoring 30.0 to 23.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
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MetaSummary
- They share 20 benchmarks with published results for both. Gemma 7B scores higher in 4 categories and Llama 3.1-8B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 7B leads 31.2 to 10.2.
Side by side
| Gemma 7B | Llama 3.1-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 30.0 | 23.0 |
| Released | 2024-02-21 | 2024-07-23 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 27 | 43 |
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Category by category
Coding Gemma 7B leads
Gemma 7B: 30.5 (#294), Llama 3.1-8B: 20.2 (#340)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1048 | 1195 |
| HumanEval+ | 28.7% | 62.8% |
| MBPP+ | 43.4% | 55.6% |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
Agentic & Tool Use Not comparable
Gemma 7B: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Gemma 7B leads
Gemma 7B: 19.9 (#249), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1175 |
| Epoch Capabilities Index | 111.99 | 116.57 |
| PIQA | 81.2% | 81.2% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| WinoGrande | 79% | — |
Math Gemma 7B leads
Gemma 7B: 31.2 (#228), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Math | 1066 | 1179 |
| GSM8K | 46.4% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| MATH Level 5 | — | 22.9% |
Knowledge Gemma 7B leads
Gemma 7B: 27.3 (#252), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Expert | 1001 | 1144 |
| BoolQ | 83.2% | 82.8% |
| MMLU | 66.1% | 56.1% |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| ARC (AI2) Challenge | 78.3% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Llama 3.1-8B leads
Gemma 7B: 25.1 (#287), Llama 3.1-8B: 34.0 (#249)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 999 | 1148 |
| LMArena Chinese | 1035 | 1151 |
| LMArena French | 1025 | 1177 |
| LMArena Russian | 993 | 1158 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1053 |
| LMArena Spanish | — | 1169 |
Instruction Following Llama 3.1-8B leads
Gemma 7B: 51.5 (#295), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1159 |
| IFEval | — | 74.3% |
Long Context Llama 3.1-8B leads
Gemma 7B: 31.1 (#282), Llama 3.1-8B: 35.8 (#238)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1022 | 1182 |
Writing & Preference Llama 3.1-8B leads
Gemma 7B: 27.1 (#302), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Gemma 7B | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1056 | 1187 |
| LMArena Creative Writing | 1024 | 1154 |
| LMArena Multi-Turn | 963 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
Frequently asked questions
Is Gemma 7B better than Llama 3.1-8B?
Gemma 7B is the stronger model overall, scoring 30.0 to 23.0 on the Noometry Index.
Is Gemma 7B or Llama 3.1-8B better for coding?
Gemma 7B scores higher on coding benchmarks: 30.5 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemma 7B and Llama 3.1-8B share?
20 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Llama 3.1-8B has 43.