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Gemma 3 27B benchmark results

7 results on 7 benchmarks from 4 sources.

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

Also listed as: gemma-3-27b-it · Gemma-3-27b-it (Prompt) · Gemma-3-27B-it

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1365 198 Overall, style control on; 46672 votes; 95% CI 1362–1369“gemma-3-27b-it” Official leaderboard Oct 8, 2026
LMArena Vision 1160 105 Overall, style control on; 16989 votes; 95% CI 1152–1168“gemma-3-27b-it” Official leaderboard Oct 2, 2026
GPQA Diamond 47.7% 214 Epoch AI run, accuracy Independent run Aug 27, 2026
MMLU-Pro 67.5% 110 Overall accuracy; data source: Self-Reported; 27B“Gemma-3-27B-it” Vendor-reported Mar 11, 2026
AIME (OTIS Mock AIME 2024–2025) 22.5% 203 Epoch AI run, OTIS Mock AIME 2024–2025 Independent run Aug 27, 2026
MATH Level 5 74.0% 39 Epoch AI run, accuracy Independent run Mar 13, 2025
BFCL v4 (function calling) 29.5% 69 Overall accuracy; prompt-based“Gemma-3-27b-it (Prompt)” Official leaderboard Oct 17, 2026
← AI Model Benchmarks

FAQ

Where do these Gemma 3 27B 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)