Opus 4.6 is Anthropic’s model for programming and extensive professional tasks. It is designed for agents that manage entire workflows rather than isolated prompts, which makes it effective with large codebases, complex refactoring, and multi-stage debugging that evolves over time. Compared to previous versions, it shows deeper contextual awareness, better problem analysis, and more reliability in hard engineering work. Beyond coding, Opus 4.6 is good at sustained knowledge-intensive work. It can produce near-production-ready documents, detailed plans, and thorough analyses in one pass, and stays coherent through long outputs and extended sessions. This makes it a good default for tasks that need persistence, sound judgment, and consistent execution, such as technical architecture, migration planning, and end-to-end project management.
$2.50market price $5.00
$0.25market price $0.50
$12.50market price $25.00
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Opus 4.6 is Anthropic’s model for programming and extensive professional tasks. It is designed for agents that manage entire workflows rather than isolated prompts, which makes it effective with large codebases, complex refactoring, and multi-stage debugging that evolves over time.
On NagaAI, Claude Opus 4.6 costs $2.50 per 1M input tokens and $12.50 per 1M output tokens. You pay only for what you use, with no subscription.
Claude Opus 4.6 reads up to 1M tokens in one request, counting the prompt and the answer together.
Yes. Claude Opus 4.6 can call your functions as tools and can answer in a JSON schema you give it.
It takes text and images as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
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