Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
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Google: Gemini 4 Argon (batch) holds the #44 spot for context size out of 444 chat models in the CoreAI catalog — 1.0M tokens, roughly 786,432 words or 1,573 pages of text in a single conversation. On price, it is the #116 cheapest of 205 standard-tier models by input cost. Released 2026-10-13, it is one of the 4 newest additions to the catalog. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Google: Gemini 4 Argon (batch) and Google: Gemini 3.1 Pro Preview (batch) side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00350 on Google: Gemini 4 Argon (batch)'s raw per-token rates; a heavy session with a 50K-token document costs about $0.075. On CoreAI you don't juggle these numbers — one subscription covers Google: Gemini 4 Argon (batch) and 300+ other models under a plan usage limit, with no API keys. See plans.
Google: Gemini 4 Argon (batch) handles 1.0M tokens of context — roughly 786,432 words, or about 1,573 pages of text in one conversation.
Google: Gemini 4 Argon (batch)'s underlying rates are $1 per 1M input tokens and $5 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Google: Gemini 4 Argon (batch) accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Google: Gemini 4 Argon (batch) can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Google: Gemini 4 Argon (batch) in the model selector, and chat — no API key, no per-token billing. One subscription covers Google: Gemini 4 Argon (batch) and 300+ other models.
The closest alternatives on CoreAI are Google: Gemini 3.1 Pro Preview (batch), Mistral: Mistral Large 4, DeepSeek: DeepSeek V4 Flash Latest — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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