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Gemini 3.7 Flash

AI Chatbots Freemium

High-speed flagship model launched by Google, scoring 65.3% on DeepSWE v1.1, with an introductory price of $0.75 per million input tokens and $3.75 per million output tokens

Large ModelHigh-Speed InferenceAgentAPI
Visit Gemini 3.7 Flash

Disclaimer: Review content represents our editorial team's views and experience, not commercial recommendation or investment advice. Product info and pricing may change; refer to official sources.

Overview

Gemini 3.7 Flash is a high-speed flagship model launched by Google on August 13, 2026, continuing the Flash series' advantages in speed and cost, designed for high-throughput agent and programming scenarios. The model achieved a score of 65.3% on the DeepSWE v1.1 benchmark, a significant improvement over the previous generation 3.6 Flash, while maintaining low-latency response characteristics. As one of the core models in Google AI Studio and the Gemini API, Gemini 3.7 Flash offers highly competitive input and output unit prices at an introductory price, aiming to lower the barrier for developers to scale AI capabilities and promote the deployment of agent applications in real business scenarios.

Key Features

Use Cases

Pros

Pricing

The introductory pricing is $0.75 per million input tokens and $3.75 per million output tokens. This price is effective from August 13, 2026, until January 2027 when it reverts to the original price (doubled). Specific restoration dates and original price details are subject to official announcements from Google.

Summary

Gemini 3.7 Flash is Google's high-speed flagship model for high-throughput and programming scenarios, surpassing its predecessor with a DeepSWE v1.1 score of 65.3% and attracting developers through an introductory low-price strategy. Its core advantage lies in the balance between speed and cost, making it suitable for agent-type applications. Pricing will adjust in January 2027, and long-term costs should be monitored through official information.

Category
AI Chatbots
Pricing
Freemium
Tags
Large Model · High-Speed Inference · Agent

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