Gemini 3.7 Flash 3.7

Google AI · released Aug 13, 2026

Closed (API only)textimagesaudiovideo

Openness taxonomy

access, licence, and disclosure — never a single open/closed binary

Weights availability: No open weights released
Licence: unknown
Licence category: unknown
Commercial use allowed: unknown
Derivatives allowed: unknown
Redistribution allowed: unknown
Field-of-use restrictions: unknown
Training code availability: unknown
Inference code availability: unknown
Architecture disclosure: unknown
Training data disclosure: unknown

openness confidence

API and enterprise only
No open weights

Deployability

raw values as extracted — free text, never inferred from branding

Self-hosting: unknown
On-premise: unknown
Edge deployability: unknown
API availability: API and enterprise only
Regions available: unknown

Benchmarks

as reported — vendor-supplied unless otherwise noted

FrontierCode 1.1 Main 43.6%DeepSWE v1.1 65.3%WebDev Arena 1588 EloGDP.pdf 34.0%AutomationBench 30.4%

National-security pathway & evidence

from the assessed source item, when one is linked

Impact: mediumConfidence: mediumNat-sec: indirectindependent reporting

Domains: ai_system_security, industrial_economic

Pathway: Lower-cost API access to stronger coding and workflow-agent capabilities could accelerate deployment of automated software and operational processes, including in security-relevant organisations.

Evidence limitations: The source is independent reporting rather than an official release record, and the benchmark results are not independently corroborated in the supplied text.

Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens

Linked research papers

from paper_model_links

ReguSim: Evaluating LLM Agent Rule Grounding in Financial Complianceevaluates · 95% confidence
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agentsevaluates · 99% confidence
The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoningevaluates · 98% confidence
An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photographyevaluates · 99% confidence
The Authority Expectancy Effect in Multi-User Conflictevaluates · 95% confidence
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agentsevaluates · 99% confidence
When Personalization Becomes Bias: Structural and Discursive Religious Framing in AI-Generated Financial Adviceevaluates · 98% confidence
SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimizationtechnique_used · 98% confidence