Gemini 4 Argon
Google's Gemini 4 Argon is a reasoning model designed for complex software engineering, mathematical and scientific problems, and multi-step agent tasks. It accepts text, files, images, audio and video, produces text, and supports tool calling.
Gemini 4 Argon specs and pricing
- Provider: Google
- Released: October 13, 2026
- Context window: 1M tokens
- Max output: 944K tokens
- Input: audio, files, images, text, video
- Output: text
- Price: $2.00 input / $10 output per 1M tokens
- Reasoning: yes
- Tool calling: yes
What Gemini 4 Argon is good at
- Complex software engineering
- Mathematical and scientific problem solving
- Multi-step agent tasks
To-dos to try with Gemini 4 Argon
- Review this code and propose a fix for the reported bug.
- Solve this mathematical problem and explain each step.
- Summarize the key points in this video.
FAQ
- Who makes Gemini 4 Argon? Gemini 4 Argon is made by Google.
- Can Gemini 4 Argon read images and video? Yes. It accepts images and video as input, as well as text, files and audio. Its output is text.
- How much does Gemini 4 Argon cost? Gemini 4 Argon costs $2.00 per million input tokens and $10 per million output tokens through OpenRouter. In todo.is a typical agent step costs about 7 credits ($1 = 100 credits).
- What is the context window of Gemini 4 Argon? Gemini 4 Argon can read up to 1M tokens at once and write up to 944K tokens in one reply.
- Can I use Gemini 4 Argon without coding? Yes. In todo.is you pick Gemini 4 Argon as your agent's model and write to-dos in plain words, on the web, the Android app, WhatsApp or Telegram. No API key needed: credits are included, or you can bring your own key.
JavaScript is required to use the todo.is app.