Google has introduced Gemini 3.7 Flash, its latest Flash model for coding, AI agents, web development, and knowledge-intensive tasks. Tulsee Doshi, Senior Director of Product Management at Google, said Gemini 3.7 Flash builds on the company’s Flash series, with improvements driven by developer feedback and algorithmic innovations that Google plans to carry into future models.
Gemini 3.7 Flash
The release comes three weeks after Gemini 3.6 Flash and brings improvements across software engineering, knowledge work, and web development workflows. The model is designed to improve coding accuracy, handle multi-step tasks, and work with tools more effectively. It is available at an introductory price of half the original Gemini 3.6 Flash cost per million tokens.
Coding and web development
Gemini 3.7 Flash brings improvements to software engineering tasks, including debugging, issue resolution, first-pass code accuracy, and production-ready code generation.
The model’s coding benchmark results include:
- FrontierCode 1.1 Main: 43.6%, compared with 34.4% for Gemini 3.6 Flash
- DeepSWE v1.1: 65.3%, compared with 49.0% for Gemini 3.6 Flash
For web development, Gemini 3.7 Flash can generate more functional layouts and feature-complete apps with fewer prompts. For UI generation, it supports reference inputs including a screenshot, image, or full design system, with design adherence and parity based on the reference. On Arena.ai’s WebDev Arena, Gemini 3.7 Flash achieved an Elo score of 1588, compared with 1538 for Gemini 3.6 Flash.
Knowledge work and developer experience
Gemini 3.7 Flash also improves reasoning and accuracy in knowledge-intensive fields such as finance, law, and biosciences.
- GDP.pdf: 34.0%, compared with 22.0% for Gemini 3.6 Flash. The benchmark evaluates a model’s ability to process complex documents.
- AutomationBench: 30.4%, compared with 17.0% for Gemini 3.6 Flash. The benchmark evaluates the completion of real-world business workflows.
Google says the model also improves developer workflows by:
- Adapting to roadblocks
- Clarifying intent when needed
- Following instructions with greater fidelity
- Putting more effort into multi-step planning
- Handling tool calls with more deliberate execution
Gemini Spark update
Gemini Spark will start using Gemini 3.7 Flash today. Spark is Google’s personal AI agent that runs 24/7 and takes action on the user’s behalf while remaining under their direction.
The update brings improved tool use with Google Workspace apps and supports complex, multi-skill workflows. Examples include:
- Consolidating files
- Drafting emails
- Updating status documents
Safety
Gemini 3.7 Flash ships with updated Frontier Safety safeguards for potential misuse involving Chemical, Biological, Radiological, and Nuclear (CBRN) applications and cyber offense. Google says the updates are part of its work on bioresilience and its cyber program.
Pricing and availability
Gemini 3.7 Flash is available at an introductory price of:
- Input: $0.75 per 1 million tokens
- Output: $3.75 per 1 million tokens
- Introductory pricing ends: December 31, 2026
- From January 1, 2027: $1.50 per 1 million input tokens and $7.50 per 1 million output tokens
The model is available through:
- Developers: Google Antigravity, Gemini API, Google AI Studio, and Android Studio
- Enterprises: Gemini Enterprise Agent Platform and Gemini Enterprise app
- Individuals: Spark in the Gemini app for Google AI Pro and Ultra subscribers in supported countries
Gemini Spark is available to Google AI Pro and Ultra subscribers in more than 160 countries.