Automated page. Written and translated automatically by AI and checked against the sources by software; no human editor. SI-IQ is an index built from public benchmark results, not an IQ test. How it works

How smart is Llama 4 Scout?

73 SI-IQ · 90% interval 68–78
Not ranked: too little data

Llama 4 Scout is a model from Meta AI, released on Apr 5, 2025. Its SI-IQ is 73 (90% interval 68–78), estimated from 4 benchmark results by 2 independent evaluators.

This model has fewer than 5 independent benchmark results or fewer than 2 different evaluators, so it is shown but not ranked.

Facts

Developer: Meta AI
Released: Apr 5, 2025
Access: Open weights (restricted licence)
Benchmarks used: 4 results from 2 evaluators

Ability by area (SI-IQ, 90% interval)

Every benchmark result we used

Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.

Benchmark	Area	Score	Implied SI-IQ	Evaluated by	As listed by the source	Retrieved	Source
MATH Level 5	Math	62.3%	75	Epoch AI	`Llama-4-Scout-17B-16E-Instruct`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
OTIS Mock AIME 2024–2025	Math	7.8%	67	Epoch AI	`Llama-4-Scout-17B-16E-Instruct`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
GPQA Diamond	Knowledge	51.8%	75	Epoch AI	`Llama-4-Scout-17B-16E-Instruct`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
Berkeley Function Calling Leaderboard	Agents	28.1%	68	UC Berkeley (Gorilla)	`Llama-4-Scout-17B-16E-Instruct (FC)`	Oct 18, 2026	Berkeley Function Calling Leaderboard · data file

Human preference (Arena)

On the Arena leaderboard, where people vote between two anonymous answers, Llama 4 Scout has a rating of 1,322 (1,317–1,326) from 29,826 votes (published Oct 15, 2026). Human preference is a different measure from benchmark ability and is not part of SI-IQ. Arena (Hugging Face)

Computed with SI-IQ method version 1.0.0. Read the full methodology

Data sources: Arena leaderboard dataset on Hugging Face (CC BY 4.0); Berkeley Function Calling Leaderboard, Gorilla project (Apache-2.0); Epoch AI, ‘Capabilities & benchmarking’ (CC BY 4.0).