Gemma 3 12B: benchmark results

Google's open-weight Gemma 3 12B, a mid-size multimodal model (March 2025). Provider: Google. Released 2025-03-12. Access: Open.

Aggregate Rating 1532 ± 5, rank #672 of 1656 rated models, from 1041 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Audio2Tool (Text Oracle) - Conversation29.9Exact match (%): share of queries whose predicted tool or or100
Audio2Tool (Text Oracle) - Implicit Reasoning14.5Exact match (%): share of queries whose predicted tool or or100
Audio2Tool (Text Oracle) - Needle-in-a-Haystack45Exact match (%): share of queries whose predicted tool or or100
Audio2Tool (Text Oracle) - Parametric Commands12.3Exact match (%): share of queries whose predicted tool or or100
BanglaMedVQA (CoT)35.75Exact-match accuracy (%; mean of the Chest X-Ray and MedICaT100
BanglaMedVQA (CoT) - MedICaT40.5Exact-match accuracy (%; 1,000 questions on MedICaT figures;100
BanglaMedVQA - MedICaT39.5Exact-match accuracy (%; 1,000 questions on MedICaT figures;100
GeoDrive-Bench (Reasoning)58.5Overall accuracy (%) on 5,053 human-validated multiple-choic100
HyperGVL - Vertex Counting99.8Accuracy (%) on counting the vertices of a hypergraph, 7,000100
TSCG 20 Tools95Scenario D, 20 tools, TSCG compilation: tool-selection accur100
TSCG 50 Tools98Scenario D, 50 tools, TSCG compilation: tool-selection accur100
OpenVLM MMT-Bench - Traffic Anomaly Detection75Score (%)99.5

Interactive version: theaggregate.ai/model?slug=gemma-3-12b · How It Works · Data refreshed daily, snapshot 2026-10-21.