Model comparison
Gemma 3 4B vs Llama 3-8B
Gemma 3 4B is the stronger model overall, scoring 28.1 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
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MetaSummary
- They share 17 benchmarks with published results for both. Gemma 3 4B scores higher in 7 categories and Llama 3-8B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 3 4B leads 42.5 to 30.8.
- The biggest single-benchmark swing is DTBench: 50.9% for Gemma 3 4B and 43.9% for Llama 3-8B.
Side by side
| Gemma 3 4B | Llama 3-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 28.1 | 25.5 |
| Released | 2025-03-12 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 34 |
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Category by category
Coding Gemma 3 4B leads
Gemma 3 4B: 35.9 (#215), Llama 3-8B: 31.0 (#289)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1230 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), Llama 3-8B: —
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Llama 3-8B leads
Gemma 3 4B: 13.2 (#335), Llama 3-8B: 14.3 (#326)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1253 | 1133 |
| DTBench | 50.9% | 43.9% |
| Epoch Capabilities Index | 116.02 | 116.45 |
| Kagi LLM Benchmark | 25.2% | — |
| LMCA | 2.8% | — |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Gemma 3 4B leads
Gemma 3 4B: 16.8 (#292), Llama 3-8B: 8.8 (#323)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 1.9% |
| LMArena Math | 1239 | 1151 |
| MATH Level 5 | — | 6.1% |
Knowledge Gemma 3 4B leads
Gemma 3 4B: 11.8 (#299), Llama 3-8B: 7.8 (#308)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 23.2% | 26.1% |
| LMArena Expert | 1223 | 1113 |
| Vectara Hallucination Rate | 6.4% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Gemma 3 4B leads
Gemma 3 4B: 42.5 (#194), Llama 3-8B: 30.8 (#261)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1273 | 1098 |
| LMArena German | 1281 | 1104 |
| LMArena Russian | 1294 | 1109 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1159 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Spanish | — | 1173 |
Instruction Following Gemma 3 4B leads
Gemma 3 4B: 65.2 (#225), Llama 3-8B: 58.4 (#260)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1127 |
Long Context Gemma 3 4B leads
Gemma 3 4B: 38.7 (#194), Llama 3-8B: 34.2 (#251)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1273 | 1128 |
Writing & Preference Gemma 3 4B leads
Gemma 3 4B: 42.0 (#239), Llama 3-8B: 37.5 (#256)
| Benchmark | Gemma 3 4B | Llama 3-8B |
|---|---|---|
| LMArena Text | 1291 | 1166 |
| LMArena Creative Writing | 1271 | 1150 |
| LMArena Multi-Turn | 1255 | 1152 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Llama 3-8B?
Gemma 3 4B is the stronger model overall, scoring 28.1 to 25.5 on the Noometry Index.
Is Gemma 3 4B or Llama 3-8B better for coding?
Gemma 3 4B scores higher on coding benchmarks: 35.9 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 3 4B and Llama 3-8B share?
17 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Llama 3-8B has 34.