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Llama 4 Scout

Meta · 2025-04-05 · 108.6B parameters

Llama 4 Scout is Meta's pretrained, natively multimodal mixture-of-experts base model with 16 experts, released in April 2025; Meta reports 109 billion total and 17 billion activated parameters, both as rounded figures. Its released base-checkpoint configuration supports 262,144 tokens, while the shared family card advertises Scout as 10M context; Meta reports about 40 trillion pretraining tokens and an August 2024 data cutoff.

Benchmark scores

BenchmarkScore
BAZAAR TrueSkill Mu4.9
BuseyBench SVG1.5
Capability120.3
Design Arena Overall Code Categories819
Epoch Capabilities Index (ECI)130
Ruby LLM Benchmarks — Program Fixer63.3
Ruby LLM Program Fixer — Calendar73.5
Ruby LLM Program Fixer — Parking Garage45.0
Ruby LLM Program Fixer — School Library56.8
Ruby LLM Program Fixer — Vending Machine77.7
SnorkelGraph26.0
SnorkelSequences48.4
SnorkelSpatial15.4
SnorkelUnderwrite44.3
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