Model comparison
Gemma 1.1 2b IT vs Llama 3-8B
Gemma 1.1 2b IT is the stronger model overall, scoring 29.3 to 25.5 on the Noometry Index.
Last verified . 16 shared benchmarks.
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MetaSummary
- They share 16 benchmarks with published results for both. Gemma 1.1 2b IT scores higher in 3 categories and Llama 3-8B in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 1.1 2b IT leads 30.8 to 8.8.
Side by side
| Gemma 1.1 2b IT | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 29.3 | 25.5 |
| Released | — | 2024-04-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 16 | 34 |
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Category by category
Coding Too close to call
Gemma 1.1 2b IT: 30.1 (#299), Llama 3-8B: 31.0 (#289)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1034 | 1152 |
| HumanEval+ | 17.7% | 56.7% |
| MBPP+ | 23.3% | 54.8% |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
Reasoning Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 19.1 (#270), Llama 3-8B: 14.3 (#326)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1005 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 30.8 (#232), Llama 3-8B: 8.8 (#323)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Math | 1047 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge Gemma 1.1 2b IT leads
Gemma 1.1 2b IT: 26.5 (#258), Llama 3-8B: 7.8 (#308)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Expert | 970 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Llama 3-8B leads
Gemma 1.1 2b IT: 24.6 (#289), Llama 3-8B: 30.8 (#261)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 988 | 1098 |
| LMArena Chinese | 1012 | 1076 |
| LMArena German | 944 | 1104 |
| LMArena Korean | 899 | 1004 |
| LMArena Russian | 990 | 1109 |
| LMArena French | — | 1159 |
| LMArena Japanese | — | 967 |
| LMArena Spanish | — | 1173 |
Instruction Following Llama 3-8B leads
Gemma 1.1 2b IT: 49.9 (#299), Llama 3-8B: 58.4 (#260)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 992 | 1127 |
Long Context Llama 3-8B leads
Gemma 1.1 2b IT: 30.6 (#286), Llama 3-8B: 34.2 (#251)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1003 | 1128 |
Writing & Preference Llama 3-8B leads
Gemma 1.1 2b IT: 25.1 (#306), Llama 3-8B: 37.5 (#256)
| Benchmark | Gemma 1.1 2b IT | Llama 3-8B |
|---|---|---|
| LMArena Text | 1022 | 1166 |
| LMArena Creative Writing | 998 | 1150 |
| LMArena Multi-Turn | 959 | 1152 |
Frequently asked questions
Is Gemma 1.1 2b IT better than Llama 3-8B?
Gemma 1.1 2b IT is the stronger model overall, scoring 29.3 to 25.5 on the Noometry Index.
Is Gemma 1.1 2b IT or Llama 3-8B better for coding?
They score almost the same on coding (30.1 vs 31.0); test both on your own repository before choosing.
How many benchmarks do Gemma 1.1 2b IT and Llama 3-8B share?
16 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and Llama 3-8B has 34.