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Gemini 3.1 Flash-Lite

Model ● Covered in 5 stories + Follow

Gemini 3.1 Flash-Lite is Google's lightweight language model in the Gemini 3 series, priced at $0.25 per million input tokens and $1.50 per million output tokens, designed for cost-sensitive and high-volume developer workloads. The model offers 2.5X faster response times and 45% higher output speed compared to its predecessor and has been deployed in applications including Google Cloud's Always-On Memory Agent for maintaining continuous context in AI systems. It competes in the price-performance segment against models like OpenAI's GPT-5.6 Luna and serves as a baseline for performance comparisons in benchmarks like computer use tasks.

Updated 4 August 2026

Specifications

No specifications recorded yet.

Latest developments

Advancing the price-performance frontier with GPT‑5.6 Simon Willison's Weblog · 1 month ago · 21 Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run MarkTechPost · 1 month ago · 51 Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite MarkTechPost · 1 month ago · 21
Deep Learning Weekly: Issue 445 Deep Learning Weekly · 6 months ago · 5
Gemini 3.1 Flash-Lite: Built for intelligence at scale Google DeepMind · 6 months ago · 42

Timeline

Month Quarter Year

July 2026

OpenAI releases GPT-5.6 model family with efficiency improvements and significant price reductions Model release

March 2026

Multiple major AI model releases including Anthropic Sonnet 4.6, Google Gemini 3.1 variants, and OpenAI GPT-5.3 Instant Model release

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