Model comparison
Llama 2-13B vs Llama 4 Scout
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. Llama 2-13B scores higher in 4 categories and Llama 4 Scout in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Llama 4 Scout leads 41.0 to 26.5.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 57.9% for Llama 4 Scout.
Side by side
| Llama 2-13B | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.6 | 27.7 |
| Released | 2023-07-18 | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 32 | 43 |
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Category by category
Coding Llama 2-13B leads
Llama 2-13B: 30.9 (#291), Llama 4 Scout: 20.2 (#339)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1062 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Llama 4 Scout: 24.6 (#119)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
Reasoning Llama 2-13B leads
Llama 2-13B: 12.8 (#337), Llama 4 Scout: 9.1 (#345)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1266 |
| DTBench | 42.2% | 57.9% |
| Epoch Capabilities Index | 106.17 | 129.64 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMCA | — | 12% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 57.5 |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Llama 4 Scout: 19.6 (#286)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1065 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | 36.9% | — |
Knowledge Llama 4 Scout leads
Llama 2-13B: 28.1 (#249), Llama 4 Scout: 31.9 (#217)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Expert | 1030 | 1235 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Llama 4 Scout: 32.2 (#102)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| ScienceQA | 55.8% | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual Llama 4 Scout leads
Llama 2-13B: 26.5 (#279), Llama 4 Scout: 41.0 (#212)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1024 | 1252 |
| LMArena Chinese | 1001 | 1255 |
| LMArena French | 1044 | 1282 |
| LMArena German | 1009 | 1272 |
| LMArena Japanese | 894 | 1206 |
| LMArena Korean | 953 | 1207 |
| LMArena Russian | 1055 | 1263 |
| LMArena Spanish | 1087 | 1278 |
Instruction Following Llama 4 Scout leads
Llama 2-13B: 53.3 (#287), Llama 4 Scout: 65.8 (#217)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1045 | 1248 |
| IFEval | — | 81.8% |
Long Context Llama 2-13B leads
Llama 2-13B: 32.3 (#269), Llama 4 Scout: 27.5 (#294)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1064 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Llama 4 Scout leads
Llama 2-13B: 29.8 (#289), Llama 4 Scout: 37.0 (#261)
| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1084 | 1279 |
| LMArena Creative Writing | 1047 | 1249 |
| LMArena Multi-Turn | 1050 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
Frequently asked questions
Is Llama 2-13B better than Llama 4 Scout?
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.7 on the Noometry Index.
Is Llama 2-13B or Llama 4 Scout better for coding?
Llama 2-13B scores higher on coding benchmarks: 30.9 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Llama 4 Scout share?
19 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Llama 4 Scout has 43.