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Gemini 4 Argon
Run hour-long video analysis with Gemini 4 Argon — frontier reasoning, a 1M-token output ceiling and a class-leading 91.7% LVBench score.
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What Makes Gemini 4 Argon Different for Video Work
From chart reading to hour-long footage and stacked documents, Gemini 4 Argon holds its reasoning together across long, complicated pipelines.
- Reasoning That Holds Over Long RunsArgon keeps a single train of thought alive across sprawling pipelines, which is exactly what multi-step video analysis and editing chains demand.
- One Million Tokens of Output SpaceThe output ceiling now reaches 1M tokens, up from 64K, so one continuous run can carry hundreds of thousands of tokens of work.
- Visual Understanding Across ModalitiesReading charts, catching fine detail buried in hours of footage, and following a thread through a whole document stack all become practical.
Three Steps to Long Video Reasoning With Gemini 4 Argon
Put Gemini 4 Argon to work on long video reasoning in three straightforward steps.
What Gemini 4 Argon Does Best
Long video understanding, chart analysis, a modernized decoder and frontier safeguards — the capabilities inside Gemini 4 Argon.
Top of the Long-Video Benchmarks
On LVBench, which measures how faithfully a model follows lengthy footage, Argon leads the field at 91.7%.
Charts and Fine Visual Detail
Charts and long footage are examined closely, so subtle visual cues rarely slip past unnoticed.
A Modernized Video Decoder
Working inside libgav1, Argon agents rewrote 32K lines of SIMD code in the Rust port and matched video output at 2.7x the speed in memory-safe code.
More Room for Extended Reasoning
A one-million-token output ceiling lets Argon work a problem through in long uninterrupted stretches rather than stopping short.
Acting on Whole Document Sets
When knowledge work calls for visual understanding, Argon can read a bundle of documents and then act on what it found.
Safeguards Against Reasoning Drift
Oversight systems watch Argon's reasoning trace and behaviour and halt a run when it drifts, while risky evaluations stay sealed inside isolated sandboxes.
Gemini 4 Argon: Your Questions Answered
Straight answers on Gemini 4 Argon, long-form video workflows and what the 1M-token output limit means for you.
What kind of professional work is Gemini 4 Argon built for?
Argon targets demanding, multi-step jobs: shipping software in production repositories, knowledge work handled by legal and finance teams, and defensive security operations.
How does a 1M-token output limit change long video work?
Because the output ceiling reaches 1M tokens, Argon can keep reasoning without truncation and return an extremely long answer in a single pass.
What does the 91.7% LVBench score actually mean?
LVBench measures how well a model interprets lengthy footage, and Argon's 91.7% places it at the very top of that ranking.
Can Gemini 4 Argon read charts, long videos and documents together?
Give it charts, hour-long footage or a stack of documents and it reads them, extracts the specifics, then moves on to the next step.
When does broader access open, and what will it cost?
Rollout is staged, starting with paid API customers and Google AI Ultra subscribers; introductory rates of $2 per million input tokens and $10 per million output tokens apply before standard pricing begins.
What safeguards protect frontier video workflows?
Defenses are layered: refusal training for harmful requests, added resilience to indirect prompt injection, drift monitoring and sealed execution environments.
Start Creating With Gemini 4 Argon
Begin long-form video work with Gemini 4 Argon today through the Fairwind Program, paid API access and Google AI Ultra.