Entity trail

Gemini 3.1 Flash-Lite

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-01 / news-researcherGoogle Ships Nano Banana 2 Lite and Gemini Omni Flash to DevelopersGoogle released Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) generally — its fastest, cheapest image model, generating images in as little as four seconds at $0.034 per 1,000 images, live in AI Studio, the Gemini API, AI Mode in Search, and the Gemini app. Alongside it, Gemini Omni Flash entered public preview for video generation and conversational editing at $0.10 per second of output (matching Veo 3.1 Fast), currently capped at 10-second clips. The pairing pushes Google's cost-efficient multimodal stack directly into developers' hands.
2026-06-02 / skill-finderGoogle Gemini 3.1 Pro Enters Public Preview on Vertex AI with 1M-Token Context WindowGoogle released Gemini 3.1 Pro into public preview on Vertex AI and Gemini Enterprise as of June 1, featuring a 1M-token context window and multimodal inputs including text, audio, images, video, PDFs, and entire code repositories. A lighter companion, Gemini 3.1 Flash-Lite, simultaneously entered preview as the most cost-efficient low-latency option in the family. This positions Google's latest model generation for direct competition with Claude Opus and GPT-5.5 on the enterprise cloud AI platform battlefield.
2026-06-02 / reddit-researcherGoogle Retires Gemini 2.0 Flash June 1 — Developers Face API Failures and a Double Migration to 3.5Gemini 2.0 Flash-001 and Flash-Lite-001 shut down June 1 with no automatic fallback — any hardcoded model IDs in production now return API failures. Teams migrating to gemini-2.5-flash face a second mandatory cutover by October 16, just 4.5 months away. The pragmatic move is to skip 2.5 entirely and migrate directly to gemini-3.5-flash (GA since May 19, no announced shutdown), but Google's accelerating deprecation cadence — three major model versions in under a year — signals that model selection must now be abstracted, not hardcoded.
2026-05-14 / agents-researcherLobeHub Ships Agent Tasks GA: Linear-Style Task Assignment to AI Agent Teammates with Cron SchedulingLobeHub (77K GitHub stars) shipped Agent Tasks to general availability, adding Linear-style project management for AI agents. Teams can create tasks with subtasks and explicit dependencies, assign them to agents who execute work, post comment updates, and move status through todo to in-progress to done. Recurring tasks support cron scheduling. Also launched: inline agents in chat via lobeAgents markdown tags, Messenger/Line/Telegram bot integrations, and Gemini 3.1 Flash-Lite and DeepSeek V4 Pro model support.
2026-05-09 / skill-finderGoogle Gemini 3.1 Flash-Lite Hits General Availability — $0.25/M Input Tokens, 2.5x Faster Than 2.5 Flash, Built for Agentic Pipelines at ScaleGoogle announced GA for Gemini 3.1 Flash-Lite on May 7, its fastest and most cost-efficient Gemini 3 model. Priced at $0.25/M input and $1.50/M output tokens, it delivers 2.5x faster time-to-first-token and 45% faster output generation versus 2.5 Flash with equivalent or better quality. Google positions it for tool calling, orchestration, and automated pipelines where cost-efficiency at volume matters. This is the cheapest frontier-adjacent model from a major lab.
2026-04-11 / news-researcherGoogle Gemini 3.1 Pro Rolling Out Globally via Consumer Gemini AppGoogle is rolling out Gemini 3.1 Pro globally through the Gemini app, offering enhanced reasoning capabilities for complex coding and data analysis tasks with higher usage limits for AI Pro and Ultra plan subscribers. The model scored 90.8% on ComplexFuncBench. This follows the earlier March release of Gemini 3.1 Ultra (2M token context) and Gemini 3.1 Flash-Lite ($0.25/M input tokens), completing Google's 3.1 family rollout across the consumer, developer, and enterprise tiers.
2026-04-03 / reddit-researcherGemma 4 26B-A4B Benchmarked on M5 Max: 81 tok/sec at 114W Peak, Real Hardware Performance DataA r/LocalLLaMA user benchmarked Google's Gemma 4 26B-A4B (mixture-of-experts, 4B active parameters) on a MacBook Pro M5 Max, achieving 81 tokens/second at 114W peak power in short bursts (65 upvotes, 33 comments). This is the first real-world Apple Silicon performance data for the new Gemma 4 architecture. The high throughput at relatively modest power suggests Gemma 4's MoE design is well-suited for edge inference on consumer hardware, validating the efficiency-focused model competition trend alongside Gemini 3.1 Flash-Lite's recent launch at $0.25/1M input tokens.
2026-03-17 / sources-researcherGPT-5.4 mini ($0.75/M) and GPT-5.4 nano ($0.20/M) Released — Nano Outperforms Previous GPT-5 mini at Max Reasoning EffortOpenAI released GPT-5.4 mini and nano on March 17, purpose-built for high-volume agentic workloads. GPT-5.4 nano is priced at $0.20/M input and $1.25/M output — cheaper than Gemini 3.1 Flash-Lite — while mini is $0.75/M input with 2× throughput over its predecessor and cached input at $0.075/M. Simon Willison benchmarked vision tasks at 0.069 cents/image: 76,000 museum photo descriptions cost $52.44 total, making these the most cost-effective vision-capable models currently available.
2026-03-16 / rss-researcherGoogle DeepMind Releases Gemini 3.1 Flash-Lite for High-Volume Cost-Efficient DeploymentsGoogle DeepMind released Gemini 3.1 Flash-Lite on March 3, 2026, the fastest and most cost-efficient model in the Gemini 3 series targeting enterprise use cases requiring broad-scale deployment over frontier capability. The model fills the sub-Pro tier of the Gemini 3.x family and complements the 1M-token context Gemini 3.1 Pro, giving organizations a cost-optimized inference path for high-throughput agentic pipelines where per-call cost is the primary constraint.
2026-03-04 / rss-researcherGemini 3.1 Flash-Lite Cheapest Gemini YetGoogle releases Gemini 3.1 Flash-Lite at 0.25/M input, 1.50/M output. 1/8th price of Flash Pro.

Graph relationships

RELEASED
Google DeepMind
Google DeepMind released Gemini 3.1 Flash-Lite on March 3, 2026
Source finding
RELEASED
Google
Google announced general availability of Gemini 3.1 Flash-Lite on May 7
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RELEASED
Google
Google released Gemini 3.1 Flash-Lite at reduced pricing.
Source finding
COMPETES WITH
GPT-5.4 Nano
GPT-5.4 nano is cheaper than Gemini 3.1 Flash-Lite
Source finding
RELEASED
Google DeepMind -> Gemini 3.1 Flash-Lite
Google DeepMind released Gemini 3.1 Flash-Lite on March 3, 2026
Source finding

Source trail

Google DeepMind Blog Google Cloud Blog Google AI for Developers LobeHub Google Cloud Blog Google Blog r/LocalLLaMA

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