Gemini Negotiation Paper Finds Persona Effects Shift By Language
A new paper testing Google's Gemini model in buyer-seller negotiations found that the same persona instruction produced different deal outcomes in English and Korean.
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Gemini price, plans and limits (November 2026)
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Everything this site holds about Gemini, on one page: whether it is working, what it costs, what its API charges, and what has changed. Every figure below was read from Google's own pages, and every block says when. Where Google publishes nothing, this page says so instead of estimating.
Download the data behind this Gemini pagestatus JSONstatus CSVplans JSONplans CSVpricing JSONpricing CSV
Is Gemini working right now?
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Ninety days, one cell a day
What Gemini costs
Google's published list prices for Gemini are below, with each limit in the vendor's own wording. A cell reading "Not published" means Google prints no figure for it, which is a fact worth as much as a number.
| Plan | Monthly | Yearly per month | Context | Models |
|---|---|---|---|---|
| Freeindividual | $0.00 | Not published | Not published | 3.6 Flash, 3.1 Pro (varying access) |
Limits published for Free
Page wording: "Access to 3.6 Flash", "Varying access to 3.1 Pro". Also lists image generation and editing, Deep Research, Gemini Live, Canvas, Gems, Google Flow with limited access to Nano Banana Pro, Gemini Notebook. Footnote: usage limits in the Gemini app are compute-based. US page fetched explicitly; the default page geo-served EUR prices from our German server. | ||||
| Google AI Plusindividual | $4.99 | Not published | Not published | Gemini Omni Flash |
Limits published for Google AI Plus
Also: video generation and Daily Brief, custom tool creation, more access to Nano Banana in Search, more Audio Overviews and notebooks, Gemini in Google apps, Gemini in Chrome (early access). | ||||
| Google AI Proindividual | $19.99 | Not published | 1M | Gemini 3 Pro, 3.1 Pro |
Limits published for Google AI Pro
Page wording: "Higher access to Gemini 3 Pro, Deep Search, agentic capabilities"; "3.1 Pro" with "1M token context window"; entry rate limits to the agent model in Google Antigravity; YouTube Premium Lite plan included. | ||||
| Google AI Ultra (5x)individual | $99.99 | Not published | 1M | Gemini 3 Pro |
Limits published for Google AI Ultra (5x)
"Highest access to Gemini 3 Pro, Deep Search, agentic capabilities"; first access to Deep Think and Gemini Spark; Project Genie; YouTube Premium individual plan. Second source rounds the price to "$100/month". Context window: one.google.com plan table states "1 million" for Pro and Ultra. | ||||
| Google AI Ultra (20x)individual | $199.99 | Not published | 1M | Gemini 3 Pro |
Limits published for Google AI Ultra (20x)
Second source rounds the price to "$200/month". Context window: one.google.com plan table states "1 million" for Pro and Ultra. | ||||
Vendor billing wording
- Free
- "$0/ month with a Google Account"
- Google AI Plus
- "$4.99/ month"; no annual price published
- Google AI Pro
- "$19.99/ month"; no annual price published
- Google AI Ultra (5x)
- "Starting at: $99.99/ month"; no annual price published
- Google AI Ultra (20x)
- "$199.99 / month: 20x higher usage limits vs. AI Pro"; no annual price published
Gemini plans:Source: gemini.google/us/subscriptionsVerified Single sourceHistory
US dollars a month
What it means for you
Paying starts at $4.99 a month for Google AI Plus and runs to $199.99 for Google AI Ultra (20x).
Every plan here carries limits Google publishes, which is rarer than it should be and makes this table unusually easy to plan around.
What the Google API costs
List prices per one million tokens, exactly as Google prints them. This is what you pay to send text to the model yourself, which is a different product from the subscription above and is billed by the word rather than by the month.
| Model | Input | Output | Cached input | Context | Max output |
|---|---|---|---|---|---|
| Gemini 3.5 Flash-Litegemini-3.5-flash-lite | $0.30 | $2.50 | $0.03 | 1,048,576 | 65,536 |
| Gemini 2.5 Flashgemini-2.5-flash | $0.30 | $2.50 | $0.03 | 1,048,576 | 65,536 |
| Gemini 3.8 Flashgemini-3.8-flash | $0.75 | $3.75 | $0.075 | 1,048,576 | 65,536 |
| Gemini 2.5 Progemini-2.5-pro | $1.25 | $10.00 | $0.125 | 1,048,576 | 65,536 |
| Gemini 3.5 Flashgemini-3.5-flash | $1.50 | $9.00 | $0.15 | 1,048,576 | 65,536 |
| Gemini 3.1 Pro Previewgemini-3.1-pro-preview | $2.00 | $12.00 | $0.20 | 1,048,576 | 65,536 |
Notes on these rows
- Gemini 3.5 Flash-Lite
- Paid tier. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.5-flash-lite.
- Gemini 2.5 Flash
- Paid tier. The pricing page itself notes a "1M token" context for this model; exact limits from the model page ai.google.dev/gemini-api/docs/models/gemini-2.5-flash.
- Gemini 3.8 Flash
- Paid tier. Promotional: "$0.75 through December 31, 2026. $1.50 starting January 1, 2027" (output $3.75 then $7.50; caching $0.075 then $0.15). Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.8-flash ("1,048,576" input, "65,536" output). No second official page confirming the price was reachable.
- Gemini 2.5 Pro
- Paid tier, prompts of 200k tokens or less. Prompts over 200k: input $2.50, output $15.00, caching $0.25. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-2.5-pro.
- Gemini 3.5 Flash
- Paid tier. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.5-flash.
- Gemini 3.1 Pro Preview
- Paid tier, prompts of 200k tokens or less. Prompts over 200k: input $4.00, output $18.00, caching $0.40. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview.
Google prices:Source: ai.google.dev/gemini-api/docs/pricingVerified Single sourceHistory
US dollars per 1M input tokens
What it means for you
Inside one vendor the spread is the story: Gemini 3.5 Flash-Lite costs $0.30 per million input tokens and Gemini 3.1 Pro Preview costs $2.00. Choosing the model matters more than choosing the vendor.
A million tokens is roughly three quarters of a million words of English, so a single question costs a fraction of a cent. Bills grow when the same context is sent again and again, which is what an agent or a long conversation does. That is why the cached input column is the one to read before committing to a model here.
Guides to Gemini
The questions people ask about Gemini, answered in plain English, with the numbers on this page and the sources they came from.
- Do AI text detectors work, and what does their score mean?
AI text detectors can flag patterns associated with machine-written text, but their score is not proof of authorship. They can miss AI text and accuse human writers. OpenAI withdrew its own classifier for low accuracy, and published research shows paraphrasing can sharply weaken several detection methods. Use a score only as a reason to review evidence.
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- How does Gemini API pricing work for a small team?
Gemini API pricing depends on the model, paid tier and tokens used for input, cached context and output. Some models also have a free tier or lower Batch rate, while tools can add charges. A small team should measure one workflow and price every line on Google's current table.
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- How do you write a good AI prompt for ChatGPT, Claude or Gemini?
A good AI prompt names the task, supplies relevant context, states constraints and describes the output you want. Add an example when format or judgment is hard to explain. Then inspect the result and revise one weakness at a time. Clear evidence and a review step matter more than clever prompt phrases.
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- How do you read an LLM leaderboard or benchmark table?
Read an LLM leaderboard by checking the task, dataset, metric, model version and test conditions before the rank. Look for uncertainty and possible training-data overlap, then ask whether the test resembles your work. A one-point lead on one benchmark is evidence about that setup, not proof that a model is best for everyone.
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- What is an AI token, and how do token counts affect cost?
An AI token is a small piece of text that a model reads or writes. It can be a whole short word, part of a longer word, punctuation or a space. Token counts matter because they set how much fits in a model's context window and how much an API request costs.
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- What is a context window and why does it change what a model can do?
A context window is the amount of text a model can hold in mind at once, measured in tokens. On the OpenAI, Anthropic and Google pages this guide reads, published windows run from 200,000 tokens up to just over a million. When a conversation outgrows the window, the model starts losing the beginning, which is why long chats drift.
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What changed at Gemini
Every change we have logged at Gemini, newest first, each with Google's own page as the receipt.
Paper Finds Gemini Monitor Beats Small Models At Spotting Reward Hacking
A new paper tests whether Google's Gemini 3.1 Flash-Lite can tell real reward hacking apart from honest failure better than small local monitors.
Gemini Notebook Adds Free Textbooks From OpenStax And S Chand
Google added free textbooks to Gemini Notebook, letting students ground study guides and quizzes directly in course materials from OpenStax and S Chand.
Google Shows How to Turn Notes Into Resume Bullets With Gemini
Google's newsroom published a short guide showing how the Gemini app can turn rough, unedited notes about past jobs into polished resume bullets.
Gemini App Adds Immersive Explorations For Student Hub Users
Google added a library of immersive explorations to the Gemini app's student hub, letting learners move through topics layer by layer from one interactive panel.
Gemini 2.5 Pro Tested in Multi-Agent Drug Safety Causality Framework
Researchers built a four-agent causality assessment system using Google's Gemini 2.5 Pro and DeepSeek-V3.2 to review drug safety case reports against expert judgment.
Gemini Gains Personal Intelligence For Cars Worldwide
Google is rolling out Personal Intelligence for Gemini in cars, letting the assistant draw on a driver's Gmail, Photos and Calendar for hands-free help.
Google Adds Business Hub And Tools To Gemini App
Google added a dedicated small business landing page to the Gemini app, bundling branding, finance and app connections into one hub.
Google Researchers Detail Phoneme Fix For Hard To Pronounce Drug Names In TTS
Researchers including Google DeepMind authors published a method that retrofits phoneme control onto conversational text to speech models, scored with Gemini as the judge of drug name accuracy.
Gemini Notebook Adds Short Video and Quiz Study Tools
Google added three study features to Gemini Notebook, including short video overviews and new quiz formats, aimed at exam preparation.
Google Adds Gemini 4 Argon Access To Paid Gemini Subscriptions
Google's Gemini subscription page now promotes Gemini 4 Argon access for AI Pro and AI Ultra subscribers, with plan prices unchanged from the prior structure.
Paper Shows Small Open Model Outperforming Gemini 3.1 Pro
A new paper describes DualView, a text regression method whose smaller open weight language model outperformed unsupervised prediction with Google's Gemini 3.1 Pro.
Academic Benchmark Finds Google's Gemini 2.5 Flash Leads Bengali Factuality
A new academic benchmark testing eight language models found Google's Gemini 2.5 Flash scored highest for factual accuracy in Bengali summaries.
Google Opens Gemini 4 Argon to Developers and Paying Subscribers
Google made Gemini 4 Argon available to developers through the Gemini API, Google AI Studio, Android Studio and Antigravity on October 13, 2026.
Google Cloud Launches Gemini Agent For Work
Google Cloud introduced the Gemini agent at its Gemini at Work event, a single prompt box meant to plan tasks, pick a model and reach into a company's own systems.
Paper Tests Whether AI Safety Governors Block Gemini Agents From Finishing Tasks
A new paper runs Gemini 2.5 Flash through a governed file-recovery test to see whether a safety supervisor's own interventions can stall the agent it is meant to control.
Paper Proposes Detecting Who Contributed an Insight, Not Just Who Wrote It
A new paper tests whether reviewers' insights came from a human, an LLM such as Gemini, or a hybrid of the two, not just who typed the words.
Paper Pairs LLaMA-3 With Gemini Vision For Medical Reports
A new paper describes MeddeX, a medical report analyzer that pairs a fine-tuned LLaMA-3 model with Google's Gemini Vision for reading scanned and radiological images.
Google Launches Gemini 4 Argon Frontier Model
Google introduced Gemini 4 Argon, a frontier model built for coding, enterprise knowledge work and cybersecurity defense, rolling out first to trusted testers.
Google's Gemini Live Benchmarked in New Voice-Agent Stress Test
A new benchmark called VAmoS Energy tests fourteen voice stacks, including Google's Gemini 3.8 Live, on utility billing calls with background noise and impatient callers.
Google Showcases Four Developer Builds Made With Gemini 3.8 Flash
Google published a roundup of four developer projects built with Gemini 3.8 Flash, the workhorse model it priced into the API this month.
Cancer Registry Chatbot Study Tests Gemini Against GPT Baselines
Researchers built CRISS, a retrieval-augmented chatbot for cancer registrars, and tested it using Google's Gemini models alongside GPT baselines on registry coding questions.
Google Adds Live Avatar to Gemini 3.8 Live for Enterprise
Google added Live Avatar to Gemini 3.8 Live, giving its conversational AI a real-time animated face for enterprise customer service and support tasks.
Gemini Adds Connected Apps From Adobe, Airtable and Peloton
Google began rolling out a new wave of Connected Apps inside Gemini, letting the assistant reach into productivity, creative and lifestyle tools without switching tabs.
Google ships Gemini 3.8 Live and 3.8 Live Extended Thinking
Google released two new Gemini voice models on September 15, 2026, adding faster live dialogue and a slower reasoning mode for complex spoken tasks.
Google Adds Real-Time Voice Chat and Quiz Tools to Gemini Notebook
Google rolled out new Gemini Notebook study tools on September 15, 2026, adding voice chat, quizzes, flashcards and short video summaries.
University of Melbourne WMT 2026 submission distills Gemini output to fill Tok Pisin, Bislama and Solomon Pijin translation gaps
A University of Melbourne paper posted 2026-09-15 uses Google's Gemini to generate training text for Pacific creole domains no dataset covered.
Gemini subscription page keeps its prices and states a 5 hour limit refresh
Our poll found Google's United States subscription page changed. The prices our table records still stand, and the page states how the Gemini usage limit refreshes.
Paper Finds Profession-Specific Prompts Add Cost Without Accuracy Gains on Gemini
A new paper tested Google's Gemini 3.8 Flash against 503 profession-specific system prompts and found no consistent accuracy gain despite much higher token use.
Gemini 3.8 Flash is on a promotional price that doubles on 1 January 2027
Google is charging a promotional $0.75 per million input tokens for Gemini 3.8 Flash until the end of 2026, after which the published price doubles.
Google puts Lyria 3.5 music generation in the Gemini app at no charge
Google has added Lyria 3.5 music generation to the free Gemini app and its API, but the launch announcement gives users no published usage limit.
Google's new weather model refreshes hourly and lands inside Search, Maps and the Gemini app
Google DeepMind's WeatherNext 3 rebuilds the global forecast every hour from satellite data, and starts powering weather in Search, Maps and the Gemini app the same day.
Gemini can now choose which parts of a video to watch, and Google says that cuts tokens by up to 88%
Google has turned on agentic video understanding for Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite, which pick the segments they watch and cut token consumption by up to 88%.
AI Journey is independent and is not affiliated with Google. Every figure here is read from pages Google publishes, and the page and time are printed beside it.