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 3.2 1B?

42 SI-IQ · 90% interval 27–58
Not ranked: too little data

Llama 3.2 1B is a model from Meta AI, released on Sep 24, 2024. Its SI-IQ is 42 (90% interval 27–58), estimated from 3 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: Sep 24, 2024
Access: Open weights (restricted licence)
Benchmarks used: 3 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
OTIS Mock AIME 2024–2025	Math	0.6%	47	Epoch AI	`Llama-3.2-1B-Instruct`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
GPQA Diamond	Knowledge	23.9%	−33	Epoch AI	`Llama-3.2-1B-Instruct`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
Berkeley Function Calling Leaderboard	Agents	10.8%	31	UC Berkeley (Gorilla)	`Llama-3.2-1B-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 3.2 1B has a rating of 1,111 (1,103–1,119) from 8,045 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).