Model comparison
Gemma 2B vs Llama 4 Scout
Gemma 2B is the stronger model overall, scoring 29.6 to 27.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Google
MetaSummary
- They share 12 benchmarks with published results for both. Gemma 2B scores higher in 4 categories and Llama 4 Scout in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Llama 4 Scout leads 41.0 to 23.0.
Side by side
| Gemma 2B | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 29.6 | 27.7 |
| Released | 2024-02-21 | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 23 | 43 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 2B leads
Gemma 2B: 29.4 (#305), Llama 4 Scout: 20.2 (#339)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1010 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Agentic & Tool Use Not comparable
Gemma 2B: —, Llama 4 Scout: 24.6 (#119)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
Reasoning Gemma 2B leads
Gemma 2B: 18.8 (#275), Llama 4 Scout: 9.1 (#345)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 989 | 1266 |
| Epoch Capabilities Index | 94.2 | 129.64 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| BIG-Bench Hard | 35.2% | — |
| ForecastBench | — | 57.5 |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math Gemma 2B leads
Gemma 2B: 30.0 (#239), Llama 4 Scout: 19.6 (#286)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1009 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, Llama 4 Scout: 31.9 (#217)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1235 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multimodal Not comparable
Gemma 2B: —, Llama 4 Scout: 32.2 (#102)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |
Multilingual Llama 4 Scout leads
Gemma 2B: 23.0 (#294), Llama 4 Scout: 41.0 (#212)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 958 | 1252 |
| LMArena Chinese | 986 | 1255 |
| LMArena Russian | 937 | 1263 |
| LMArena French | — | 1282 |
| LMArena German | — | 1272 |
| LMArena Japanese | — | 1206 |
| LMArena Korean | — | 1207 |
| LMArena Spanish | — | 1278 |
Instruction Following Llama 4 Scout leads
Gemma 2B: 48.5 (#302), Llama 4 Scout: 65.8 (#217)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 970 | 1248 |
| IFEval | — | 81.8% |
Long Context Gemma 2B leads
Gemma 2B: 29.9 (#291), Llama 4 Scout: 27.5 (#294)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 981 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Llama 4 Scout leads
Gemma 2B: 24.0 (#308), Llama 4 Scout: 37.0 (#261)
| Benchmark | Gemma 2B | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1002 | 1279 |
| LMArena Creative Writing | 987 | 1249 |
| LMArena Multi-Turn | 945 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
Frequently asked questions
Is Gemma 2B better than Llama 4 Scout?
Gemma 2B is the stronger model overall, scoring 29.6 to 27.7 on the Noometry Index.
Is Gemma 2B or Llama 4 Scout better for coding?
Gemma 2B scores higher on coding benchmarks: 29.4 versus 20.2 in the Noometry coding category.
How many benchmarks do Gemma 2B and Llama 4 Scout share?
12 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and Llama 4 Scout has 43.