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Gemini 4 Argon

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Google
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Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. 1M-token context with text, image, audio, video and file input, configurable thinking levels and tool use.

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Gemini 4 Argon is very affordable at $2.00/M tokens input and $10.00/M tokens output. Cached input reads are priced at $0.10/M tokens, making repeated context cheaper. The model supports vision/image input, audio input, extended reasoning, a 1M context window.

Best forLong-context analysisVision tasksAudio input

Benchmarks

CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter

Specifications

Vision
Audio
Reasoning
1.0M
Context
66K
Max output

Performance

Providers

Misc

October 13, 2026
Released
CompareChat with Gemini 4 Argon

Compare with

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Frequently Asked Questions about Gemini 4 Argon▼

When was Gemini 4 Argon released?

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Gemini 4 Argon was released on October 13, 2026.

Who created Gemini 4 Argon?

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Gemini 4 Argon was created by Google.

How much does Gemini 4 Argon cost?

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Gemini 4 Argon costs $2.00/M input tokens and $10.00/M output tokens.

What is Gemini 4 Argon API pricing?

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The Gemini 4 Argon API is priced at $2.00 per million input tokens and $10.00 per million output tokens. You can access Gemini 4 Argon through idapt.app alongside 200+ other AI models in one workspace.

Is Gemini 4 Argon a reasoning model?

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Yes, Gemini 4 Argon is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.

Does Gemini 4 Argon support image or vision input?

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Yes, Gemini 4 Argon supports vision/image input. You can share images in your conversation and the model will analyze and respond based on their content.

Does Gemini 4 Argon support audio?

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Yes, Gemini 4 Argon supports audio input, allowing it to process and respond to voice and audio files.

What is the context window of Gemini 4 Argon?

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Gemini 4 Argon has a context window of 1M tokens, meaning it can process approximately 786,432 words of context at once.

Is Gemini 4 Argon open source?

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Gemini 4 Argon is a proprietary model developed by Google. The model weights and training data are not publicly available.

What is Gemini 4 Argon good at?

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Based on benchmark data, Gemini 4 Argon excels at: visual analysis and image understanding. It is Google's capable model suitable for a wide range of tasks.

Where can I use Gemini 4 Argon?

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You can chat with Gemini 4 Argon on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Gemini 4 Argon through Google's own API or platform.

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