Model comparison
Gemma 3n E4b IT vs Llama 4 Scout
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 27.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
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MetaSummary
- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 8 categories and Llama 4 Scout in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemma 3n E4b IT leads 37.0 to 20.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 36.9% for Llama 4 Scout.
Side by side
| Gemma 3n E4b IT | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.3 | 27.7 |
| Released | — | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 18 | 43 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Llama 4 Scout: 20.2 (#339)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1268 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Llama 4 Scout: 24.6 (#119)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Llama 4 Scout: 9.1 (#345)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 36.9% |
| LMArena Hard Prompts | 1284 | 1266 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Llama 4 Scout: 19.6 (#286)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1251 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Llama 4 Scout: 31.9 (#217)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Expert | 1246 | 1235 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
Multimodal Not comparable
Gemma 3n E4b IT: —, Llama 4 Scout: 32.2 (#102)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Llama 4 Scout: 41.0 (#212)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1285 | 1252 |
| LMArena Chinese | 1309 | 1255 |
| LMArena French | 1330 | 1282 |
| LMArena German | 1311 | 1272 |
| LMArena Japanese | 1272 | 1206 |
| LMArena Korean | 1259 | 1207 |
| LMArena Russian | 1288 | 1263 |
| LMArena Spanish | 1305 | 1278 |
Instruction Following Too close to call
Gemma 3n E4b IT: 66.1 (#210), Llama 4 Scout: 65.8 (#217)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1255 | 1248 |
| IFEval | — | 81.8% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), Llama 4 Scout: 27.5 (#294)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1276 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Llama 4 Scout: 37.0 (#261)
| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1306 | 1279 |
| LMArena Creative Writing | 1287 | 1249 |
| LMArena Multi-Turn | 1276 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
Frequently asked questions
Is Gemma 3n E4b IT better than Llama 4 Scout?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 27.7 on the Noometry Index.
Is Gemma 3n E4b IT or Llama 4 Scout better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Llama 4 Scout share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 4 Scout has 43.