Model comparison
Gemma 3 1B vs Llama 3-8B
Llama 3-8B is the stronger model overall, scoring 25.5 to 21.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Google
MetaSummary
- They share 3 benchmarks with published results for both. Gemma 3 1B scores higher in 2 categories and Llama 3-8B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemma 3 1B leads 19.2 to 14.3.
- The biggest single-benchmark swing is GPQA Diamond: 19.9% for Gemma 3 1B and 26.1% for Llama 3-8B.
Side by side
| Gemma 3 1B | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 21.1 | 25.5 |
| Released | 2025-03-12 | 2024-04-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 4 | 34 |
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Category by category
Coding Not comparable
Gemma 3 1B: —, Llama 3-8B: 31.0 (#289)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | — | 31.9% |
| LMArena Coding | — | 1152 |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Gemma 3 1B: 13.7 (#152), Llama 3-8B: —
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 7.2% | — |
Reasoning Gemma 3 1B leads
Gemma 3 1B: 19.2 (#264), Llama 3-8B: 14.3 (#326)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | — | 1133 |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Gemma 3 1B leads
Gemma 3 1B: 10.2 (#316), Llama 3-8B: 8.8 (#323)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 1.9% |
| LMArena Math | — | 1151 |
| MATH Level 5 | — | 6.1% |
Knowledge Too close to call
Gemma 3 1B: 7.0 (#314), Llama 3-8B: 7.8 (#308)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 19.9% | 26.1% |
| LMArena Expert | — | 1113 |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Not comparable
Gemma 3 1B: —, Llama 3-8B: 30.8 (#261)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| LMArena Non-English | — | 1098 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1173 |
Instruction Following Not comparable
Gemma 3 1B: —, Llama 3-8B: 58.4 (#260)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | — | 1127 |
Long Context Not comparable
Gemma 3 1B: —, Llama 3-8B: 34.2 (#251)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | — | 1128 |
Writing & Preference Not comparable
Gemma 3 1B: —, Llama 3-8B: 37.5 (#256)
| Benchmark | Gemma 3 1B | Llama 3-8B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1150 |
| LMArena Multi-Turn | — | 1152 |
Frequently asked questions
Is Gemma 3 1B better than Llama 3-8B?
Llama 3-8B is the stronger model overall, scoring 25.5 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and Llama 3-8B share?
3 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and Llama 3-8B has 34.