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Gemma 3 4B benchmark results

5 results on 5 benchmarks from 4 sources.

Open weights Released: Mar 12, 2025 Updated Oct 22, 2026 API prices & specs →

Also listed as: gemma-3-4b-it · Gemma-3-4b-it (Prompt) · Gemma-3-4B-it

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1303 282 Overall, style control on; 4171 votes; 95% CI 1294–1313“gemma-3-4b-it” Official leaderboard Oct 8, 2026
GPQA Diamond 23.2% 277 Epoch AI run, accuracy Independent run Aug 28, 2026
MMLU-Pro 43.6% 181 Overall accuracy; data source: Self-Reported; 4B“Gemma-3-4B-it” Vendor-reported Mar 11, 2026
AIME (OTIS Mock AIME 2024–2025) 7.5% 222 Epoch AI run, OTIS Mock AIME 2024–2025 Independent run Aug 28, 2026
BFCL v4 (function calling) 19.6% 101 Overall accuracy; prompt-based“Gemma-3-4b-it (Prompt)” Official leaderboard Oct 17, 2026
← AI Model Benchmarks

FAQ

Where do these Gemma 3 4B scores come from?

From Epoch AI Benchmarking Hub, Berkeley Function Calling Leaderboard (BFCL), LMArena leaderboard dataset, and MMLU-Pro leaderboard (TIGER-Lab). Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)