Model comparison
Gemma 2 2b IT vs Llama 13b
Gemma 2 2b IT is the stronger model overall, scoring 33.1 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
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MetaSummary
- They share 8 benchmarks with published results for both. Gemma 2 2b IT scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 2 2b IT leads 36.5 to 13.8.
Side by side
| Gemma 2 2b IT | Llama 13b | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.1 | 24.4 |
| Released | — | 2023-02-24 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 21 |
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Category by category
Coding Gemma 2 2b IT leads
Gemma 2 2b IT: 32.3 (#273), Llama 13b: 21.4 (#337)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Coding | 1112 | 683 |
Reasoning Gemma 2 2b IT leads
Gemma 2 2b IT: 21.4 (#224), Llama 13b: 14.0 (#329)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1113 | 728 |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Gemma 2 2b IT leads
Gemma 2 2b IT: 32.6 (#212), Llama 13b: 26.7 (#256)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Math | 1135 | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Gemma 2 2b IT: 29.9 (#231), Llama 13b: —
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Expert | 1096 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Gemma 2 2b IT: —, Llama 13b: —
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Gemma 2 2b IT leads
Gemma 2 2b IT: 32.3 (#257), Llama 13b: 16.6 (#297)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Non-English | 1121 | 819 |
| LMArena Chinese | 1132 | — |
| LMArena French | 1157 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 1083 | — |
| LMArena Korean | 1055 | — |
| LMArena Russian | 1118 | — |
| LMArena Spanish | 1140 | — |
Instruction Following Gemma 2 2b IT leads
Gemma 2 2b IT: 57.8 (#263), Llama 13b: 36.7 (#305)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1118 | 781 |
Long Context Not comparable
Gemma 2 2b IT: 34.3 (#250), Llama 13b: —
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1130 | — |
Writing & Preference Gemma 2 2b IT leads
Gemma 2 2b IT: 36.5 (#263), Llama 13b: 13.8 (#312)
| Benchmark | Gemma 2 2b IT | Llama 13b |
|---|---|---|
| LMArena Text | 1156 | 834 |
| LMArena Creative Writing | 1147 | 794 |
| LMArena Multi-Turn | 1118 | 753 |
Frequently asked questions
Is Gemma 2 2b IT better than Llama 13b?
Gemma 2 2b IT is the stronger model overall, scoring 33.1 to 24.4 on the Noometry Index.
Is Gemma 2 2b IT or Llama 13b better for coding?
Gemma 2 2b IT scores higher on coding benchmarks: 32.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Gemma 2 2b IT and Llama 13b share?
8 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and Llama 13b has 21.