Gemini 3.7 Flash: benchmark results

Google's Gemini 3.7 Flash (August 13, 2026), an algorithmic refinement of 3.6 Flash tuned for software engineering, agent workflows and multi-step execution, with the same 1,048,576-token context window. Provider: Google. Released 2026-08-13. Access: API.

Aggregate Rating 1872 ± 5, rank #23 of 1656 rated models, from 679 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
AA-AnalystAgent60Score (%)100
AA-AnalystAgent - Pass@170.5Pass@1 (%)100
AI for Education Visual Reasoning89.9Accuracy (%)100
AI for Education Visual Reasoning - match (figure)87.4Accuracy (%)100
AI for Education Visual Reasoning - pattern completion (linear)95.7Accuracy (%)100
AI for Education Visual Reasoning - reasoning by analogy94.4Accuracy (%)100
CESBench - Side-Channel85.5Composite score (%; mean over the four task types of the ite100
CraftBench-UE (C++, Aura MCP)93.94Task completion (%; C++ tasks completed within 40 minutes ov100
DSV-Mem39.6Accuracy (%), 1,000 stateful visual-memory questions, mean o100
DroneCATS (Approaching)65Success Rate (%)100
EnterpriseOps-Gym-AA - ITSM50.28Task Success (%)100
JudgeSense - Relevance0.98Judge Sensitivity Score: share of items on which the judge r100

Interactive version: theaggregate.ai/model?slug=gemini-3-7-flash · How It Works · Data refreshed daily, snapshot 2026-10-20.