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Gemini 4 Argon
Gemini 4 Argon powers long-form video workflows with frontier reasoning, a 1M-token output ceiling, and a top LVBench score of 91.7%.
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Why Use Gemini 4 Argon for Video Work
Gemini 4 Argon keeps its reasoning coherent across long, complicated pipelines, from chart reading to hour-long footage and document stacks.
- Long-Horizon Video ReasoningArgon holds a train of thought over long, complicated pipelines, which is what multi-step video analysis and editing chains demand.
- 1M-Token Output HeadroomOutput capacity now reaches 1 million tokens, a jump from 64K, so a single run can stretch across hundreds of thousands of tokens.
- Multimodal Visual UnderstandingChart reading, fine-grained detail spotting in lengthy footage, and follow-through across a stack of documents all come within reach.
How to Use Gemini 4 Argon
Run long video reasoning with Gemini 4 Argon in three simple steps.
Gemini 4 Argon Features
Long video understanding, chart analysis, decoder modernization, and frontier safeguards in Gemini 4 Argon.
Long Video Benchmark Leadership
LVBench, which scores how well a model follows lengthy footage, puts Argon at the top with 91.7%.
Chart and Visual Detail Analysis
Charts and lengthy footage are read closely, so small visual cues do not slip past unnoticed.
Video Decoder Modernization
Inside libgav1, Argon agents rewrote 32K lines of SIMD code in the Rust port, landing matching video output at 2.7x the speed in memory-safe code.
Extended Reasoning Headroom
A one-million-token output ceiling lets Argon work a problem through in long, uninterrupted stretches instead of stopping short.
Document-Series Action Taking
When knowledge work calls for visual understanding, Argon can read a bundle of documents and then act on what it found.
Misalignment and Sandbox Safeguards
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 — FAQ
Common questions about Gemini 4 Argon and long-form video workflows.
Which professional tasks does Gemini 4 Argon target?
Argon was built for hard, multi-step jobs: shipping software in production repositories, knowledge work handled by legal and finance teams, and defensive security operations.
How does the 1M output token limit help long video work?
With a 1M-token output ceiling, Argon can keep reasoning without truncation and return a very long answer in one pass.
What does LVBench 91.7% indicate?
LVBench scores how models interpret lengthy footage, and Argon's 91.7% places it at the top of that ranking.
How does Argon handle charts, long videos, and documents?
Feed it charts, hour-long footage or a stack of documents, and it reads them, pulls out the specifics, and proceeds with the next step.
When will broader access and pricing apply?
Rollout is staged, opening with paid API customers and Google AI Ultra subscribers; introductory rates run $2 per million input tokens and $10 per million output tokens before standard pricing kicks in.
Which safeguards protect frontier video workflows?
Layered defenses include refusal training for harmful asks, extra resilience to indirect prompt injection, drift monitoring, and sealed execution environments.
Join the Gemini 4 Argon Rollout
Start long-form video work with Gemini 4 Argon through the Fairwind Program, paid API, and Google AI Ultra access.