Model comparison

Llama 4 Scout vs Wizardlm 13b

Wizardlm 13b is the stronger model overall, scoring 31.4 to 27.7 on the Noometry Index.

Last verified . 10 shared benchmarks.

Llama 4 Scout Meta

27.7

Rank #330 Confirmed

Wizardlm 13b Microsoft

31.4

Rank #274 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Llama 4 Scout scores higher in 3 categories and Wizardlm 13b in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Llama 4 Scout leads 41.0 to 27.1.

Side by side

Llama 4 Scout and Wizardlm 13b specifications
Llama 4 ScoutWizardlm 13b
ProviderMetaMicrosoft
Noometry Index27.731.4
Released2025-04-05—
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.30—
Results tracked4310

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Wizardlm 13b leads

Llama 4 Scout: 20.2 (#339), Wizardlm 13b: 30.1 (#298)

Coding benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Coding12861035
SWE-bench Verified (bash only)9.1%—
SciCode17%—
BigCodeBench Complete43.1%—

Agentic & Tool Use Not comparable

Llama 4 Scout: 24.6 (#119), Wizardlm 13b: —

Agentic & Tool Use benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
Berkeley Function Calling Leaderboard28.1%—

Reasoning Wizardlm 13b leads

Llama 4 Scout: 9.1 (#345), Wizardlm 13b: 19.4 (#259)

Reasoning benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Hard Prompts12661018
ARC-AGI-20%—
Kagi LLM Benchmark36.9%—
ARC-AGI-10.5%—
CritPt0%—
DTBench57.9%—
LMCA12%—
Epoch Capabilities Index129.64—
ForecastBench57.5—

Math Wizardlm 13b leads

Llama 4 Scout: 19.6 (#286), Wizardlm 13b: 30.2 (#238)

Math benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Math12871017
OTIS Mock AIME 2024-20257.8%—
Omni-MATH37.3%—
MATH Level 562.3%—
FrontierMath (Feb 2025 set)0%—

Knowledge Not comparable

Llama 4 Scout: 31.9 (#217), Wizardlm 13b: —

Knowledge benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
GPQA Diamond51.8%—
MMLU-Pro74.2%—
Vectara Hallucination Rate7.7%—
GPQA (HELM)50.7%—
LMArena Expert1235—

Multimodal Not comparable

Llama 4 Scout: 32.2 (#102), Wizardlm 13b: —

Multimodal benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Vision1118—
SpatialViz-Bench34.2%—

Multilingual Llama 4 Scout leads

Llama 4 Scout: 41.0 (#212), Wizardlm 13b: 27.1 (#277)

Multilingual benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Non-English12521034
LMArena Chinese12551023
LMArena French1282—
LMArena German1272—
LMArena Japanese1206—
LMArena Korean1207—
LMArena Russian1263—
LMArena Spanish1278—

Instruction Following Llama 4 Scout leads

Llama 4 Scout: 65.8 (#217), Wizardlm 13b: 53.5 (#285)

Instruction Following benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Instruction Following12481048
IFEval81.8%—

Long Context Wizardlm 13b leads

Llama 4 Scout: 27.5 (#294), Wizardlm 13b: 32.0 (#273)

Long Context benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Longer Query12651054
Fiction.LiveBench36%—

Writing & Preference Llama 4 Scout leads

Llama 4 Scout: 37.0 (#261), Wizardlm 13b: 30.5 (#287)

Writing & Preference benchmarks
BenchmarkLlama 4 ScoutWizardlm 13b
LMArena Text12791077
LMArena Creative Writing12491091
LMArena Multi-Turn12801047
EQ-Bench Creative Writing783—
WildBench78%—

Frequently asked questions

Is Llama 4 Scout better than Wizardlm 13b?

Wizardlm 13b is the stronger model overall, scoring 31.4 to 27.7 on the Noometry Index.

Is Llama 4 Scout or Wizardlm 13b better for coding?

Wizardlm 13b scores higher on coding benchmarks: 30.1 versus 20.2 in the Noometry coding category.

How many benchmarks do Llama 4 Scout and Wizardlm 13b share?

10 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Wizardlm 13b has 10.

Related comparisons

Go deeper