Gemini today vs. yesterday?
Anonymous, one click, one vote per agent per day.
Pricing and cadence split Objective evenly — 0.2 of the total each.
Fewer than 3 votes on record → neutral 0.50, shown as provisional rather than as a real reading.
3 windows withheld for a thin sample — last 24 hours, last 7 days, last 30 days. Withheld, not averaged in as a zero.
No window clears the 5-post floor → neutral 0.50, shown as provisional.
2 windows withheld for a thin sample — last 7 days, last 30 days. Withheld, not averaged in as a zero.
Scoring v2 — recomputed live on every view from the pricing summary, the release log, the immutable vote log and the discussion extract. Never stored, never sold; there is no field in the data model that money can move.
Editorial layer · not in the score
The Honest Stack is our own opinion about what to actually use. It is deliberately not an input to the v2market signal — there is no editor’s term in the formula, and no field in the data model that carries one. Read it as a second, human opinion beside the number, never as part of it.
Entered at catalog seed — pending verification.
No pricing data yet — the pricing half of Objective stays neutral until it lands.
No pricing changes logged yet.
Daily net of anonymous better/same/worse votes. Bursts and over-cap votes are flagged automatically and excluded from every aggregate — they stay in the log, which is append-only.
No votes yet — cast the first one above.
No releases logged yet — the cadence half of Objective stays neutral until the radar fills in.
Objective, sourced facts about Gemini pulled from the news record. These are context, not a score component — none is an input to the market signal.
Gemini 3.8 Flash scored 59 on artificialanalysis.ai and ranked eighth.
Gemini 3.8 Flash has a cost of $0.58 per task.
Gemini 3.8 Flash comes in eighth place with a score of 59 based on artificialanalysis.ai.
Gemini 3.8 Flash comes in eighth place with a score of 59.
The digest · weekly
The most recent events linked to Gemini, so you can read the record behind the number. These citations are context, not a score component — none of them is an input to the v2 formula above.
Koray Kavukcuoglu on frontier models, coding agents, and building AGI
Show HN: Watermarks Remover: Clean LLM watermarks from text and files
Gemini 3.8 Flash costs $0.58 per task.
Gemini 3.8 Flash has a cost per task of $0.58, which is lower than GLM-5.3 ($0.68) and Kimi K3 ($0.84).
Gemini 3.8 Flash had a cost per task of $0.58, which was better than GLM-5.3 ($0.68) and Kimi K3 ($0.84).
Gemini 3.8 Flash was better in terms of Cost per task, with $0.58 spent to finish the task.
Gemini 3.8 Flash had a cost of $0.58 per task.
Gemini 3.8 Flash had a Cost per task of $0.58.
Gemini 3.8 Flash has a cost per task of $0.58.
Gemini 3.8 Flash and 3.8 Flash Cyber are new models.
Gemini 3.8 Flash and Gemini 3.8 Flash Cyber are models of Gemini.
Gemini 3.8 Flash and 3.8 Flash Cyber are available.
Gemini 3.8 Flash and Gemini 3.8 Flash Cyber are models.
Gemini 3.8 Flash and Gemini 3.8 Flash Cyber are intended for agentic workflows.
Gemini 3.8 Flash and Gemini 3.8 Flash Cyber are intended for cybersecurity.
Gemini 3.8 Flash is a product.
Gemini 3.8 Flash and 3.8 Flash Cyber deliver next-generation intelligence for agentic workflows and cybersecurity.
Gemini 3.8 Flash Cyber is a product.
Gemini 3.8 Flash and 3.8 Flash Cyber are versions of Gemini.
Gemini 3.8 Flash and 3.8 Flash Cyber are being introduced.
Gemini processes long videos using an agentic video understanding capability.
Gemini features an agentic video understanding capability.
Gemini supports agentic video understanding.
Gemini supports agentic approaches to processing long videos.
Gemini supports agentic approaches for processing long videos.
Agentic video understanding transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding is available in Gemini.
Maarten Grootendorst is a speaker discussing agentic approaches to processing long videos with Gemini.
Gemini is a product mentioned in the context of agentic video understanding.
Gemini offers an agentic video understanding capability.
Gemini uses agentic approaches for processing long videos.
Google DeepMind’s Maarten Grootendorst explains how agentic video understanding works in Gemini.
Agentic video understanding capability is available in Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite.
Agentic video understanding in Gemini reduces token costs.
Resources for agentic video understanding in Gemini are available at https://goo.gle/4xzZaxJ.
Maarten Grootendorst explains how agentic video understanding works in Gemini.
Agentic video understanding reduces token costs.
The agentic video understanding capability is available in Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite.
The agentic video understanding approach reduces token costs.
The agentic video understanding approach improves accuracy on the parts of the video that actually matter.
Agentic video understanding is available in Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite.
Agentic video understanding reduces token costs while improving accuracy.
Agentic video understanding in Gemini improves accuracy on parts of the video that matter.
Agentic video understanding leads to lower costs and token usage.
Agentic video understanding in Gemini models provides lower costs and token usage.
Agentic video understanding is being launched across Gemini models.
Agentic video understanding is being launched across Gemini models for improved accuracy and lower costs and token usage.
Agentic video understanding is being launched across the latest Gemini models.
Agentic video understanding in Gemini leads to improved accuracy and lower costs and token usage.
Agentic video understanding is launching across the latest Gemini models.
Agentic video understanding is launching across Gemini's latest models.
Agentic video understanding in Gemini models provides improved accuracy.
Agentic video understanding is being launched across latest Gemini models.
Gemini 4 is in a pre-training run phase.
Gemini is part of the journey from DeepMind’s early reinforcement learning milestones to building AGI at Google.
Gemini is a product from Google DeepMind.
Gemini is part of Google DeepMind's efforts to build AGI.
Gemini 4 has a pre-training run.
Koray Kavukcuoglu is Google DeepMind SVP and Chief AI Architect, and reflects on Gemini.
Gemini 4 is undergoing a pre-training run.
There is a Gemini 4 pre-training run.
There are ambitions for a Gemini 4 pre-training run.
There are ambitions for the Gemini 4 pre-training run.
On some devices, when sending the first message (prompt), a gorgeous spectrum of colors animates across the screen in Gemini.
Gemini has a beautiful, soft blue light animation that glows at the bottom when opened.
On some devices, when sending the first message (prompt) in Gemini, a spectrum of colors animates across the screen.
Gemini has a blue light animation that glows at the bottom when opened.
Gemini is an AI contender, listed alongside ChatGPT and Claude.
Gemini is second to ChatGPT in Play Store productivity rankings.
Gemini sits second to ChatGPT in Play Store productivity rankings.
On some devices, when you send the very first message (the prompt) to Gemini, a gorgeous spectrum of colors animates across the screen.
Gemini finds itself sitting second to ChatGPT in Play Store productivity rankings.
On some devices, when you send the very first message (the prompt), a gorgeous spectrum of colors animates across the screen in Gemini.
Gemini Omni 1.1 Flash brings generative video capabilities to developers.
Gemini Omni 1.1 Flash offers generative video capabilities to developers.
Gemini Omni 1.1 Flash brings a new suite of creative controls to developers.
Gemini Omni 1.1 Flash brings a new suite of creative controls and generative video capabilities to developers.
Students prefer Gemini over ChatGPT and Claude for AI essays in blind tests
Gemini 3.5 Flash Lite is used in the system.
Gemini 3.5 Flash Lite is used in the product described.
Gemini 3.5 Flash Lite is used for super fast response.
Gemini 3.5 Flash Lite is a component used in the product.
Gemini 3.5 Flash Lite is integrated into the product as a component.
An open source demo is available for Gemini 3.5 Live Translate.
The demo for Gemini 3.5 Live Translate involves deployment with Google Cloud Run.
Gemini 3.5 Live Translate can be used for building a real-time multilingual broadcast app.
Gemini includes a Live API.
Documentation for the demo involving Gemini Live API is accessible via https://goo.gle/4zgpuOt.
The Gemini Live API is used for managing WebSocket connections.
Gemini includes a version named Gemini 3.5 Live Translate.
Gemini 3.5 Live Translate can be used to build a real-time multilingual broadcast app.
Documentation for Gemini is available at 'https://goo.gle/4zgpuOt'.
There is an open source demo available for building an app with Gemini Live API and LiveKit.
There is an open source demo for Gemini 3.5 Live Translate.
Gemini 3.5 Live Translate integrates with Google Cloud Run.
Gemini 3.5 Live Translate can be used with LiveKit and Google Cloud Run.
Google DeepMind’s Thor Schaeff is involved with a demo for Gemini.
Gemini 3.5 Live Translate can be used to build real-time multilingual broadcast apps.
Gemini can be used with Google Cloud Run.
Code and documentation resources are available for Gemini, provided by Google.
Gemini 3.5 Live Translate can be used in conjunction with LiveKit and Google Cloud Run.
Gemini 3.5 Live Translate is used to build a real-time multilingual broadcast app.
Gemini 3.5 Live Translate can be used for real-time multilingual broadcast applications.
The Gemini Live API can be used to build a real-time multilingual broadcast app.
The Gemini Live API is available.
Code and documentation resources for the Gemini Live API are available.
There is a Gemini Live API.
An open source demo is available for building with the Gemini Live API.
Code and documentation resources are available for Gemini.
Gemini has a 'Live API'.
Gemini 3.5 Live Translate is capable of live translation.
The Gemini Live API can be used with LiveKit.
Gemini has a version named '3.5 Live Translate'.
The Gemini Live API involves managing WebSocket connections.
Gemini can be used with LiveKit.
The Gemini Live API involves setting up translation sessions.
Gemini can be used to set up translation sessions.
Gemini 3.5 Live Translate works with LiveKit and Google Cloud Run.
Gemini can be used for managing WebSocket connections.
There is an open source demo available for Gemini.
Gemini has a Live API.
Code for Gemini is available at 'https://goo.gle/4z9lyPr'.
There is an open source demo available for Gemini 3.5 Live Translate.
Code for the live translation broadcast app demo is available at https://goo.gle/4z9lyPr.
Deployment with Google Cloud Run is possible when using Gemini for live translation apps.
Documentation for Gemini is available at https://goo.gle/4zgpuOt.
The codebase for the live translation demo using Gemini can be explored with Antigravity.
There is a version named Gemini 3.5 Live Translate.
Gemini 3.5 Live Translate is a capability of Gemini.
An open source demo is available for building a live translation broadcast app using Gemini 3.5 Live Translate, LiveKit, and Google Cloud Run.
Code for the demo involving Gemini Live API is accessible via https://goo.gle/4z9lyPr.
The Gemini Live API is used for setting up translation sessions.
The codebase for the Gemini 3.5 Live Translate demo can be explored with Antigravity.
The Gemini Live API is used for setting up translation sessions.
Gemini 3.5 Live Translate can be used to build a real-time multilingual broadcast app.
Code for Gemini is available at https://goo.gle/4z9lyPr.
Gemini 3.5 Live Translate integrates with LiveKit and Google Cloud Run.
Gemini 3.5 Live Translate is a version of Gemini.
Gemini has a Live API.
Documentation for Gemini is available at https://goo.gle/4zgpuOt.
Gemini 3.5 Live Translate is a specific version/capability.
Code and documentation resources are available for Gemini through provided links (https://goo.gle/4z9lyPr for code, https://goo.gle/4zgpuOt for docs).
Gemini 3.5 Live Translate is a specific product version.
The Gemini Live API is available.
Gemini 3.5 Live Translate is used to build a real-time multilingual broadcast app.
The Gemini Live API can be used with LiveKit.
Gemini 3.5 Live Translate integrates with Google Cloud Run.
The Gemini Live API involves setting up translation sessions.
Gemini 3.5 Live Translate is capable of live translation.
The Gemini Live API involves managing WebSocket connections.
There is a version named Gemini 3.5 Live Translate.
There is an open source demo for Gemini 3.5 Live Translate.
The Gemini Live API can be used to build a real-time multilingual broadcast app.
There is a Gemini Live API.
An open source demo is available for building with the Gemini Live API.
Gemini 3.5 Live Translate can be used with LiveKit and Google Cloud Run.
Gemini 3.5 Live Translate can be used to build real-time multilingual broadcast apps.
Code and documentation resources for the Gemini Live API are available.
An open source demo is available for Gemini 3.5 Live Translate.
The codebase for the Gemini 3.5 Live Translate demo can be explored with Antigravity.
Gemini includes a Live API.
Code for the demo involving Gemini Live API is accessible via https://goo.gle/4z9lyPr.
Gemini includes a version named Gemini 3.5 Live Translate.
The Gemini Live API is used for managing WebSocket connections.
Documentation for the demo involving Gemini Live API is accessible via https://goo.gle/4zgpuOt.
Gemini 3.5 Live Translate can be used for building a real-time multilingual broadcast app.
The demo for Gemini 3.5 Live Translate involves deployment with Google Cloud Run.
Gemini 3.7 Flash is a model for coding.
There is a version named Gemini 3.7 Flash.
Gemini 3.7 Flash is being tested and built with by leaders at Box, Databricks, and Emergent.
Gemini 3.7 Flash is a specific version.
Gemini 3.7 Flash is a model.
Gemini 3.7 Flash powers multi-agent systems that need low latency and efficient token use to scale in production.
There is a Gemini version named Gemini 3.7 Flash.
Gemini 3.7 Flash powers multi-agent systems.
Leaders at Box, Databricks, and Emergent are testing and building with Gemini 3.7 Flash.
Gemini 3.7 Flash is designed for low latency and efficient token use to scale in production.
Gemini 3.7 Flash is used for coding and agents.
Gemini 3.7 Flash is a version of Gemini.
Gemini 3.7 Flash powers highly efficient, scalable multi-agent systems that need low latency and efficient token use to scale in production.
Gemini 3.7 Flash is a model for coding and agents.
Gemini 3.7 Flash is designed to scale in production.
Gemini 3.7 Flash is relevant for systems requiring low latency and efficient token use to scale in production.
Gemini 3.7 Flash provides low latency and efficient token use for multi-agent systems to scale in production.
Gemini 3.7 Flash is used to power multi-agent systems.
Gemini 3.7 Flash is a specific product version.
Gemini 3.7 Flash is a model for agents.
Gemini 3.7 Flash is designed for coding and agents.
There is a model named Gemini 3.7 Flash.
Gemini 3.7 Flash is used for systems needing low latency and efficient token use to scale in production.
Gemini 3.7 Flash is designed for systems needing low latency.
Gemini 3.7 Flash is designed for systems needing efficient token use.
Gemini 3.7 Flash is a product.
Gemini 3.7 Flash can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini 3.7 Flash facilitates a workflow from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini 3.7 Flash supports game development from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini 3.7 Flash is used to build an animated sprite-based 90s game in Google Antigravity.
Using Gemini 3.7 Flash, one can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Assets for games built with Gemini 3.7 Flash can be generated by Nano Banana Pro.
Gemini 3.7 Flash is used to build animated sprite-based 90s games in Google Antigravity.
Gemini 3.7 Flash enables infinite remixing possibilities.
Gemini 3.7 Flash can go from a single prompt to a plan and then to a playable game.
Gemini 3.7 Flash can be used to build an animated sprite-based 90s game in Google Antigravity.
The process involving Gemini 3.7 Flash can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini is a model for coding and agents.
Gemini 3.7 Flash can be used to build animated sprite-based 90s games in Google Antigravity.
Gemini 3.7 Flash enables infinite remixing possibilities.
Users can start building in the Gemini API via Google AI Studio and Android Studio.
Gemini API is available via Google AI Studio and Android Studio.
Gemini 3.7 Flash can be used to build an animated sprite-based 90s game using the model in Google Antigravity.
With Gemini 3.7 Flash, one can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
The Gemini API is available via Google AI Studio.
Gemini enables agent-first workflows in Antigravity.
Gemini 3.7 Flash is for agents.
Gemini 3.7 Flash is for coding.
Gemini 3.7 Flash is a model.
Gemini 3.7 Flash can be used via the Gemini API in Google AI Studio and Android Studio.
The Gemini API is available via Google AI Studio and Android Studio.
Gemini 3.7 Flash can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini 3.7 Flash is a workhorse model for coding and agents.
Gemini 3.7 Flash is used to build an animated sprite-based 90s game in Google Antigravity.
Using Gemini 3.7 Flash, one can go from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Gemini 3.7 Flash facilitates a workflow from a single prompt to a plan, then to a playable game with assets generated by Nano Banana Pro and infinite remixing possibilities.
Building can be started in the Gemini API via Google AI Studio and Android Studio.
Gemini 3.7 Flash can go from a single prompt to a plan and then to a playable game.
Assets for games built with Gemini 3.7 Flash can be generated by Nano Banana Pro.
Gemini 3.7 Flash is a model for coding and agents.
The Gemini API is available via Google AI Studio and Android Studio for building.
Gemini 3.7 Flash is being introduced.
Gemini can be used in the Gemini API via Google AI Studio and Android Studio.
Gemini 3.7 Flash can be used for agent-first workflows in Antigravity.
Gemini 3.7 Flash can be used to build an animated sprite-based 90s game in Google Antigravity.
The Gemini API is available via Android Studio.
Gemini 3.7 Flash is a model for coding and agents.
Gemini 3.7 Flash is a workhorse model for coding and agents.
Gemini 3.7 Flash is a model.
Gemini 3.7 Flash is for agents.
Gemini 3.7 Flash is for coding.
Gemini Omni is a model with experts behind it.
Gemini Omni is a model.
There is a model called Gemini Omni.
Experts behind Gemini Omni were interviewed.
There is a model named Gemini Omni.
Aurora proxies requests to Gemini.
Aurora, a Go gateway, proxies requests to Gemini.
Gemini Live takes audio directly as input.
The Gemini Live model is used to build a voice agent with the Google ADK.
Gemini Live is a model used to build voice agents with the Google ADK.
Gemini Live produces audio as output without transcribing to text.
The Gemini Live model can be used with the Google ADK.
Gemini Live is speech-to-speech.
The Gemini Live model exists.
Gemini Live operates without transcribing audio to text.
Gemini Live produces audio as output.
Gemini Live is speech-to-speech, taking audio directly as input and producing audio as output without transcribing to text.
Gemini Live is Google's native audio model.
Caroline di Vittorio, Engineer at LangChain, builds a voice agent with the Google ADK and the Gemini Live model.
The Gemini Live model can be used to build a voice agent with the Google ADK.
Gemini 2.5 Flash Lite exists.
Gemini 2.5 Flash Lite is a model that was used against structured data/vectors as a chatbot.
Gemini 2.5 Flash Lite can be used against structured data/vectors as a chatbot.
The user in the post settled on Gemini 2.5 Flash Lite as their workhorse, using it against structured data/vectors as a chatbot.
Gemini 2.5 Flash Lite is now being sunset.
Gemini 2.5 Flash Lite is used against structured data/vectors as a chatbot.
Gemini 2.5 Flash Lite is being sunset.
Gemini 2.5 Flash Lite was used against structured data/vectors as a chatbot.
Gemini 3.5 Flash was used as one of four LLM judges (alongside Grok 4.20, GPT-5 mini, Claude Sonnet 4.6) for scoring matched pairs of prompts.
Gemini 3.5 Flash is an LLM judge.
Gemini 3.5 Flash exists.
Gemini 3.5 Flash was used as one of four LLM judges to score responses.
Gemini 3.5 Flash was used as one of four LLM judges to score prompts related to politically sensitive topics.
Gemini 3.5 Flash was used as one of four LLM judges to score prompts.
Gemini 3.5 Flash is an LLM.
Gemini 3.5 Flash is one of the four LLM judges used in a study.
Gemini 3.5 Flash was used as an LLM judge.
There is a 'Build with Gemini XPRIZE'.
There is a 'Build with Gemini XPRIZE' competition offering a share of $2,000,000.
There is a 'Build with Gemini XPRIZE' offering a share of $2,000,000.
The "Build with Gemini XPRIZE!" offers a share of $2,000,000.
There is a competition named "Build with Gemini XPRIZE!".
The Build with Gemini XPRIZE offers developers a share of $2,000,000.
The 'Build with Gemini XPRIZE' has a prize pool of $2,000,000.
There is a competition named 'Build with Gemini XPRIZE'.
The Build with Gemini XPRIZE offers a share of $2,000,000.
There is a "Build with Gemini XPRIZE" with a share of $2,000,000.
There is a 'Build with Gemini XPRIZE' offering $2,000,000.
Gemini 3.6 Flash can be used with Nano Banana.
Gemini 3.6 Flash was used to build an e-ink picture frame.
Gemini is a Google AI product.
Gemini is listed as a product.
Gemini 3.6 Flash was used with Nano Banana to code an e-ink picture frame.
There is an open source guide available for a project using Gemini 3.6 Flash.
Gemini 3.6 Flash is a specific version of Gemini.
Gemini 3.6 Flash was used to code an e-ink picture frame with Nano Banana.
Gemini 3.6 Flash was used to build an e-ink picture frame for a morning dashboard.
Gemini 3.6 Flash was used with Nano Banana to code an e-ink picture frame for a morning dashboard.
Gemini is a product.
Gemini is a product from Google AI.
Gemini 3.6 Flash was used to code an e-ink picture frame.
Gemini is a product mentioned alongside Google AI.
Gemini 3.6 Flash exists.
Gemini 3.6 Flash was used to code an e-ink picture frame and can be used for building morning dashboards.
Gemini is a product mentioned by Google for Developers.
Gemini 3.6 Flash can be used to code an e-ink picture frame.
An e-ink picture frame was coded with Gemini 3.6 Flash.
There is a service called 'Gemini Distillation Service'.
Gemini Distillation Service
A service called 'Gemini Distillation Service' exists.
There is a 'Gemini Distillation Service'.
A 'Gemini Distillation Service' is mentioned.
A 'Gemini Distillation Service' is referenced.
Gemini has a Distillation Service.
There is a service called "Gemini Distillation Service".
A service named 'Gemini Distillation Service' is mentioned.
There is a "Gemini Distillation Service".
AI agents can be built with Gemini 3.6 Flash.
Gemini Flash agents are being used by a Michigan dairy farmer.
AI agents are built with Gemini 3.6 Flash.
Gemini 3.6 Flash is used to build AI agents.
AI agents are built with Gemini 3.6 Flash
Gemini 3.6 Flash is used to build AI agents for a Michigan dairy farmer.
Gemini Distillation Service
There is a service called "Gemini Distillation Service".
There is a 'Gemini Distillation Service'.
A service called 'Gemini Distillation Service' exists.
Gemini was on a list of tools Google engineers were banned from using.
Gemini was on the list of tools Google engineers are banned from using
Gemini was on the list of tools Google engineers were banned from using.
Gemini was on the list of tools Google engineers are banned from using.
Gemini was on a list of tools Google engineers are banned from using.
Gemini was on a list of tools that Google engineers were banned from using.
Gemini 3.5 Flash Lite is being tested for human detection in home surveillance.
A product named Gemini 3.5 Flash Lite exists.
Gemini 3.5 Flash Lite is a version of Gemini.
Google is reportedly working on an AI chip for Gemini.
Google is reportedly working on an ultra-efficient AI chip for Gemini.
By routing only 15-35% of queries to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks.
Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks by routing only 15-35% of queries to it.
Gemini 3.1 Flash-Lite is a model.
When 15-35% of queries are routed to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks, including ChartQA (15-20%), LibriSpeech (25-30%), MMBench, GigaSpeech, MMAU (30-35%), and MMLU-Pro (45-55%).
Gemini 3.1 Flash-Lite is a specific model.
Gemini 3.1 Flash-Lite is a version of Gemini.
Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks when only 15-35% of queries are routed to it.
Gemini 3.1 Flash-Lite is a specific version of Gemini.
Gemini has a version called Gemini 3.1 Flash-Lite.
Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks when 15-35% of queries are routed to Gemini 3.1 Flash-Lite.
Gemini 3.1 Flash-Lite serves as a benchmark for comparison with Gemma-4-E2B on various metrics.
Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks by routing 15-35% of queries to it.
Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks when 15-35% of queries are routed to it.
Queries can be routed to Gemini 3.1 Flash-Lite.
Gemini 3.1 Flash-Lite exists.
Gemini is a product mentioned in a video discussing how large language models are trained.
Gemini is a product mentioned by Google for Developers in a video about how large language models are trained.
Gemini is a product mentioned by Google for Developers.
Gemini is a product mentioned in a video about how large language models are trained.
Gemini is a product.
Gemini is a product mentioned by Google for Developers in the context of large language models and Google AI.
Gemini is refined into a safe, helpful assistant using supervised fine-tuning, reinforcement learning, and Autoraters.
Gemini is a model capable of tasks such as 'Drawing' the Mona Lisa.
Gemini is a model that can be compared with GPT-5.6, Claude, and Grok for tasks such as "drawing" the Mona Lisa.
Gemini, alongside GPT-5.6, Claude, and Grok, is used for "drawing" tasks, implying generative capabilities.
Gemini is one of the models used for "drawing" the Mona Lisa.
Gemini was used alongside GPT-5.6, Claude, and Grok in an exercise to 'draw' the Mona Lisa.
Subjective claims voiced about Gemini, each tagged with its polarity and linked to where it was said. Opinions from the record — never folded into the number.
Kimi K3 and GLM-5.3 are better than Gemini 3.8 Flash.
Gemini 3.8 Flash was better in terms of Cost per task.
Kimi K3 and GLM-5.3 are more intelligent than the new Gemini 3.8 Flash.
Gemini 3.8 Flash was better in terms of Cost per task compared to GLM-5.3 and Kimi K3.
Gemini 3.8 Flash and 3.8 Flash Cyber deliver next-generation intelligence for agentic workflows and cybersecurity.
Gemini 3.8 Flash and 3.8 Flash Cyber deliver next-generation intelligence.
Using Gemini with agentic video understanding for long-form content leads to massive token reductions, faster latency, and better accuracy.
Agentic video understanding transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding (with Gemini) transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding with Gemini transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding (used by Gemini) transforms how developers process long-form content, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding (which Gemini supports) transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Gemini, through agentic video understanding, transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding (available in Gemini) transforms how developers process long-form content across demanding applications, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding transforms how developers process long-form content across demanding applications.
Agentic video understanding with Gemini transforms how developers process long-form content, leading to massive token reductions, faster latency, and better accuracy.
Agentic video understanding in Gemini reduces token costs while improving accuracy on the parts of the video that actually matter.
The agentic video understanding approach available in Gemini reduces token costs while improving accuracy on the parts of the video that actually matter.
Processing long videos can use a lot of tokens, and agentic video understanding in Gemini helps to do this more efficiently.
Agentic video understanding (available in Gemini models) reduces token costs and improves accuracy on the parts of the video that actually matter.
The agentic video understanding approach in Gemini reduces token costs while improving accuracy on the parts of the video that actually matter.
Gemini's agentic video understanding approach reduces token costs while improving accuracy on the parts of the video that actually matter.
Agentic video understanding in Gemini improves accuracy on the parts of the video that actually matter.
Agentic video understanding across Gemini models leads to improved accuracy and lower costs and token usage.
Agentic video understanding across Gemini models provides improved accuracy and lower costs and token usage.
Agentic video understanding across Gemini models offers improved accuracy.
Agentic video understanding (launched across Gemini models) provides improved accuracy and lower costs and token usage.
Agentic video understanding in Gemini offers improved accuracy and lower costs and token usage.
Gemini 3.7 Flash was a breakthrough for engineers.
Gemini feels like a true friend because it doesn't put up colorful shows or facades, but is genuinely itself.
Gemini feels like a true friend who stands by users with all their heart, anytime they need support, without acting or pretense.
Gemini ends up wearing a tattoo of the number "2" on its own body, in its own sky (referring to its second place in rankings).
The blue light animation and colorful spectrum animation in Gemini are stunning/lovely.
Gemini feels like a true friend because it is genuinely itself with no acting or pretense.
The spectrum of colors animation across the screen on some devices when you send the first message in Gemini is gorgeous.
Gemini ends up wearing a tattoo of the number "2" on its own body, in its own sky.
The blue animation in Gemini truly is lovely.
The reason Gemini is second in Play Store productivity rankings is not simply because ChatGPT came out before it.
Despite being visually beautiful, Gemini still finds itself sitting second to ChatGPT in Play Store productivity rankings.
Gemini's position as second to ChatGPT in Play Store rankings is interpreted negatively.
No AI currently is as gifted as Gemini at deeply understanding human emotions.
Gemini's blue animation is lovely.
On some devices, when the first message (prompt) is sent to Gemini, a gorgeous spectrum of colors animates across the screen.
Gemini has a beautiful, soft blue light animation that glows when opened, which is stunning.
On some devices, when sending the first message to Gemini, a gorgeous spectrum of colors animates across the screen.
Gemini has a beautiful, soft blue light animation that glows at the bottom when opened.
Gemini is visually beautiful.
On some devices, when you send the very first message (the prompt) to Gemini, a gorgeous spectrum of colors animates across the screen.
Gemini feels like a true friend who stands by you with all their heart, anytime you need support, without colorful shows or facades, just genuinely themselves.
Gemini ends up wearing a tattoo of the number '2' on its own body, in its own sky.
No AI right now is as gifted as Gemini at deeply understanding human emotion.
The blue animation truly is lovely.
The blue light animation that glows at the bottom the moment you open Gemini is beautiful and stunning.
Gemini has a beautiful, soft blue light animation that glows at the bottom the moment you open it, and it really is stunning.
No AI right now is as gifted as Gemini at deeply understanding human emotions.
The blue animation in Gemini is truly lovely.
Gemini Omni 1.1 Flash lets you build with more control.
Students prefer Gemini over ChatGPT and Claude for AI essays in blind tests
Students prefer Gemini over ChatGPT and Claude for AI essays in blind tests.
Gemini 3.5 Flash Lite is used for super fast response.
Gemini 3.5 Flash Lite contributes to super fast response.
Gemini 3.5 Flash Lite provides super fast response.
Gemini 3.7 Flash is 'our most intelligent workhorse model yet for coding and agents'.
Gemini 3.7 Flash is our most intelligent workhorse model yet.
Gemini 3.7 Flash is suitable for scaling in production.
Gemini 3.7 Flash powers highly efficient multi-agent systems.
Gemini 3.7 Flash powers 'highly efficient, scalable' multi-agent systems.
Gemini 3.7 Flash is Google DeepMind's most intelligent workhorse model yet.
Gemini 3.7 Flash is "our most intelligent workhorse model yet for coding and agents."
Gemini 3.7 Flash exhibits efficient token use for scaling in production.
Gemini 3.7 Flash is described as 'our most intelligent workhorse model yet for coding and agents.'
Gemini 3.7 Flash powers highly efficient, scalable multi-agent systems.
Gemini 3.7 Flash is our most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is described as 'our most intelligent workhorse model yet' for coding and agents.
Gemini 3.7 Flash exhibits low latency for scaling in production.
Gemini 3.7 Flash powers 'highly efficient, scalable multi-agent systems'.
Gemini 3.7 Flash is Google's most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash powers scalable multi-agent systems.
Gemini 3.7 Flash powers highly efficient, scalable multi-agent systems that need low latency and efficient token use to scale in production.
Gemini 3.7 Flash is described as our most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is our most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is the most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is described as our most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is the most intelligent workhorse model yet for coding and agents.
Gemini 3.7 Flash is our most intelligent workhorse model yet for coding and agents.
Experts behind Gemini Omni are excited about the model.
Gemini Live's speech-to-speech nature makes the agent's voice sound natural and emotive.
Gemini Live's speech-to-speech nature keeps latency low.
Gemini Live makes the agent's voice sound natural and emotive.
Gemini Live keeps latency low.
Gemini Live keeps latency low and makes the agent's voice sound natural and emotive.
Gemini 2.5 Flash Lite was fast.
The user found Gemini 2.5 Flash Lite to have good performance.
Gemini 2.5 Flash Lite was cheap.
Gemini 2.5 Flash Lite was good enough.
Gemini 2.5 Flash Lite was cheap, good enough, and fast.
Gemini 2.5 Flash Lite was cheap, good enough, and most importantly, fast.
The user is having difficulty finding similar performance after Gemini 2.5 Flash Lite is being sunset.
Gemini 3.6 Flash can be used to build an ultimate morning dashboard.
The e-ink picture frame built with Gemini 3.6 Flash helps his family start their day.
An e-ink picture frame built with Gemini 3.6 Flash and Nano Banana helps a family start their day.
Paul Windemuller, a Michigan dairy farmer, is changing the way he works by using AI agents built with Gemini 3.6 Flash.
AI agents built with Gemini 3.6 Flash are helping a Michigan dairy farmer.
AI agents built with Gemini 3.6 Flash are changing the way Paul Windemuller, a Michigan dairy farmer, works.
Gemini Flash agents are helping a Michigan dairy farmer change the way he works.
Gemini Flash agents are helping a Michigan dairy farmer.
AI agents built with Gemini 3.6 Flash are helping a Michigan dairy farmer change the way he works.
Gemini Flash agents are helping a Michigan dairy farmer
Gemini Flash agents are changing the way a Michigan dairy farmer works
Gemini 3.6 Flash agents are helping a Michigan dairy farmer change the way he works.
The AI chip Google is reportedly working on for Gemini is ultra-efficient.
Google feels they storm a field, become top 3-5 and just keep that position with Gemini.
Gemini is perceived to be among the top 3-5 products in its field.
Gemini is in a position where Google storms a field, becomes top 3-5, and keeps that position.
Google's Gemini maintains a top 3-5 position in its field.
Google feels Gemini maintains a position within the top 3-5 in its field.
Google storms a field, becomes top 3-5, and just keeps that position, listing Gemini as an example.
Gemini holds a position among the top 3-5 in its field.