# Llama 4 Scout vs Wizardlm 70b

> Wizardlm 70b is the stronger model overall, scoring 33.0 to 27.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-4-scout-vs-wizardlm-70b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 4 Scout scores higher in 3 categories and Wizardlm 70b in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Wizardlm 70b leads 32.2 to 19.6.

## Snapshot

| | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 27.7 | 33.0 |
| Rank | 330 | 249 |
| Context | 128K | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.30 | — |
| Weights | Open | Open |

## Coding

- Llama 4 Scout: 20.2 (#339)
- Wizardlm 70b: 31.4 (#285)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1286 | 1081 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |

## Agentic & Tool Use

- Llama 4 Scout: 24.6 (#119)
- Wizardlm 70b: —

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |

## Reasoning

- Llama 4 Scout: 9.1 (#345)
- Wizardlm 70b: 20.7 (#234)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1079 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |

## Math

- Llama 4 Scout: 19.6 (#286)
- Wizardlm 70b: 32.2 (#218)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1287 | 1116 |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |

## Knowledge

- Llama 4 Scout: 31.9 (#217)
- Wizardlm 70b: —

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1235 | — |

## Multimodal

- Llama 4 Scout: 32.2 (#102)
- Wizardlm 70b: —

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |

## Multilingual

- Llama 4 Scout: 41.0 (#212)
- Wizardlm 70b: 29.6 (#265)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1252 | 1078 |
| LMArena Chinese | 1255 | 1052 |
| LMArena German | 1272 | 1083 |
| LMArena Russian | 1263 | 1155 |
| LMArena French | 1282 | — |
| LMArena Japanese | 1206 | — |
| LMArena Korean | 1207 | — |
| LMArena Spanish | 1278 | — |

## Instruction Following

- Llama 4 Scout: 65.8 (#217)
- Wizardlm 70b: 56.3 (#273)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1248 | 1093 |
| IFEval | 81.8% | — |

## Long Context

- Llama 4 Scout: 27.5 (#294)
- Wizardlm 70b: 33.3 (#263)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1265 | 1097 |
| Fiction.LiveBench | 36% | — |

## Writing & Preference

- Llama 4 Scout: 37.0 (#261)
- Wizardlm 70b: 34.8 (#269)

| Benchmark | Llama 4 Scout | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1279 | 1120 |
| LMArena Creative Writing | 1249 | 1149 |
| LMArena Multi-Turn | 1280 | 1108 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |

## FAQ

### Is Llama 4 Scout better than Wizardlm 70b?

Wizardlm 70b is the stronger model overall, scoring 33.0 to 27.7 on the Noometry Index.

### Is Llama 4 Scout or Wizardlm 70b better for coding?

Wizardlm 70b scores higher on coding benchmarks: 31.4 versus 20.2 in the Noometry coding category.

### How many benchmarks do Llama 4 Scout and Wizardlm 70b share?

12 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Wizardlm 70b has 12.