
Gemini 4 Argon now available on AI Gateway
Quick Answer
Google's Gemini 4 Argon is now available on AI Gateway, designed for coding, complex reasoning, and agentic tasks.
Quick Take
It features a 1M token context window, supports various input types, and can be accessed via multiple APIs, enhancing productivity across finance, health, and law sectors.
Key Points
- Gemini 4 Argon supports text, image, PDF, and video inputs.
- The model can handle coding tasks, including feature building and bug fixing.
- It reads complex documents like spreadsheets and dense diagrams effectively.
- AI Gateway offers a unified API for model calls and performance tracking.
- No platform fees are charged on inference, including BYOK requests.
📖 Reader Mode
~2 min readGemini 4 Argon from Google is now available on AI Gateway.
Gemini 4 Argon is built for coding, agentic work, and complex reasoning. It has a 1M token context window, accepts text, image, PDF, and video input, and supports tool calling.
On coding tasks, Gemini 4 Argon builds features, fixes bugs, and researches unfamiliar codebases, carrying longer tasks through multiple steps. The model also reads dense diagrams, spreadsheets, layout-heavy documents, and video, which suits tasks like a financial analysis spread across several spreadsheet tabs. Beyond code, it handles work in finance, health, and law, and hard problems in math and science. Gemini 4 Argon uses thinking levels (low, medium, and high) instead of thinking budgets.
Call Gemini 4 Argon through the AI SDK, the Chat Completions, Responses, and Anthropic Messages APIs, or a coding agent connected to AI Gateway. Set the thinking level with reasoning in the AI SDK or reasoning_effort in Chat Completions, and see reasoning for the other controls.
Use google/gemini-4-argon as the model name:
To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup:
npm i -g vercel@latest
vercel ai-gateway setup
Then select google/gemini-4-argon in the agent. See the coding agents guide for details.
Try Gemini 4 Argon in the model playground.
AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more.
AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests.
You can view all language models available on AI Gateway.
— Originally published at vercel.com
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The Agent Stack by Vercel AI provides essential building blocks for creating production-grade agents, enabling seamless integration across multiple AI models and secure operations. It features components like AI Gateway for model routing, Workflow SDK for durable execution, and Vercel Connect for scoped access, streamlining agent development and deployment across various platforms.

