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