gemini-4-argon

Gemini-4-Argon is a high-performance multimodal model designed for complex tasks. It is suitable for text understanding, logical reasoning, software development, research analysis, long-document processing, and agentic workflows. The model focuses on accuracy, efficiency, and reliability, making it useful for enterprise knowledge assistants, content generation, research support, office automation, and multi-step business processes.

Context
1048576 tokens
Max output
65536 tokens
Input
llm image video text-to-speech
Output
llm

Pricing

Input: $2 / 1M tokens

Output: $10 / 1M tokens

Cached input: $0.1 / 1M tokens

Endpoints

  • gemini
  • openai

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