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 Gemma 3 4B?

63 SI-IQ · 90% interval 53–73
Not ranked: too little data

Gemma 3 4B is a model from Google DeepMind, released on Mar 12, 2025. Its SI-IQ is 63 (90% interval 53–73), estimated from 3 benchmark results by 3 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
Google DeepMind
Released
Mar 12, 2025
Access
Open weights (restricted licence)
Benchmarks used
3 results from 3 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 7.5% 67 Epoch AI gemma-3-4b-it Oct 18, 2026 Epoch AI Benchmarking Hub · data file
GPQA Diamond Knowledge 23.2% −33 Epoch AI gemma-3-4b-it Oct 18, 2026 Epoch AI Benchmarking Hub · data file
GPQA Diamond (OpenRouter run) Knowledge 27.1% 11 OpenRouter google/gemma-3-4b-it
Parasail · median over providers (1 of 1 rows)
Oct 18, 2026 OpenRouter benchmark datasets · data file
Berkeley Function Calling Leaderboard Agents 19.6% 53 UC Berkeley (Gorilla) Gemma-3-4b-it (Prompt) Oct 18, 2026 Berkeley Function Calling Leaderboard · data file

Human preference (Arena)

On the Arena leaderboard, where people vote between two anonymous answers, Gemma 3 4B has a rating of 1,303 (1,294–1,313) from 4,171 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); Source: OpenRouter (openrouter.ai), licensed under CC BY 4.0: reuse and republish with attribution to OpenRouter..