AnthropicMultimodal Model

Claude Opus 4.6

The first Opus-class Claude with a 1M-token context window. Opus 4.6 plans carefully, sustains long agentic sessions, and works reliably inside large codebases, with adaptive thinking for trading depth against speed on each request.

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: "<YOUR_API_KEY>",
});

const completion = await openai.chat.completions.create({
  model: "claude-opus-4-6",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: "<YOUR_API_KEY>",
});

const completion = await openai.chat.completions.create({
  model: "claude-opus-4-6",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}

Prompt caching

Keep the stable system content block byte-identical across calls.
Mark it with cache_control: { "type": "ephemeral" } to set a cache point.
Check usage.prompt_tokens_details.cached_tokens in the response to confirm cache reads. Initial writes may appear in cache-creation usage fields.

{
  "messages": [{
    "role": "system",
    "content": [{
      "type": "text",
      "text": "Stable system content...",
      "cache_control": { "type": "ephemeral" }
    }]
  }]
}

{
  "messages": [{
    "role": "system",
    "content": [{
      "type": "text",
      "text": "Stable system content...",
      "cache_control": { "type": "ephemeral" }
    }]
  }]
}

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Start building with Claude Opus 4.6 today

Serverless, OpenAI-compatible, and billed per token. No commitments.