Model comparison
Gemma 7B vs Llama 3.2 1B
Gemma 7B is the stronger model overall, scoring 30.0 to 20.1 on the Noometry Index.
Last verified . 13 shared benchmarks.
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MetaSummary
- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 6 categories and Llama 3.2 1B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 7B leads 31.2 to 10.4.
Side by side
| Gemma 7B | Llama 3.2 1B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 30.0 | 20.1 |
| Released | 2024-02-21 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 27 | 22 |
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Category by category
Coding Gemma 7B leads
Gemma 7B: 30.5 (#294), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1048 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Llama 3.2 1B: 14.6 (#150)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning Gemma 7B leads
Gemma 7B: 19.9 (#249), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1044 |
| Epoch Capabilities Index | 111.99 | 101.99 |
| Chess Puzzles | — | 0% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Gemma 7B leads
Gemma 7B: 31.2 (#228), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1066 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| GSM8K | 46.4% | — |
Knowledge Gemma 7B leads
Gemma 7B: 27.3 (#252), Llama 3.2 1B: 7.2 (#312)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1001 | 1007 |
| GPQA Diamond | — | 23.9% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Gemma 7B leads
Gemma 7B: 25.1 (#287), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 999 | 973 |
| LMArena Chinese | 1035 | 959 |
| LMArena Russian | 993 | 941 |
| LMArena French | 1025 | — |
| LMArena German | — | 1014 |
Instruction Following Too close to call
Gemma 7B: 51.5 (#295), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1031 |
Long Context Too close to call
Gemma 7B: 31.1 (#282), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1022 | 1050 |
Writing & Preference Gemma 7B leads
Gemma 7B: 27.1 (#302), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Gemma 7B | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1056 | 1055 |
| LMArena Creative Writing | 1024 | 1033 |
| LMArena Multi-Turn | 963 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
Frequently asked questions
Is Gemma 7B better than Llama 3.2 1B?
Gemma 7B is the stronger model overall, scoring 30.0 to 20.1 on the Noometry Index.
Is Gemma 7B or Llama 3.2 1B better for coding?
Gemma 7B scores higher on coding benchmarks: 30.5 versus 21.1 in the Noometry coding category.
How many benchmarks do Gemma 7B and Llama 3.2 1B share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Llama 3.2 1B has 22.