Claude Sonnet 4.6

Claude Sonnet 4.6 by Anthropic: $3 input and $15 output per 1M tokens, 1M context. Call it through the odnoga LLM gateway.

VisionToolsStreaming

Claude Sonnet 4.6 is served by Anthropic and called through odnoga with the same OpenAI-compatible request shape as every other model in the catalog. It accepts images alongside text. It supports tool and function calling. Its 1M-token context window sets how much input you can send in one request. Cached input is billed at $0.3 per 1M tokens, so repeated prefixes cost less.

Specification and price

VendorAnthropic
Model IDclaude-sonnet-4-6
Context window1M tokens
Max output128K tokens
CapabilitiesVision, Tools, Streaming
Your plan
Per 1M tokensVendor costYour price on Free+7%
Input$3$3.23
Output$15$16.13
Cached input$0.3$0.323

Vendor cost is the list price per million tokens as recorded in the odnoga catalog; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing

Call it through odnoga

const res = await fetch("https://api.odnoga.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ODNOGA_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "claude-sonnet-4-6",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Same request shape for every vendor in the catalog — swap the model id and odnoga handles keys, routing, limits and cost accounting.

How to use Claude Sonnet 4.6

Derived from the odnoga catalog record for this model.

Best for

  • High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries.
  • Work that mixes images with text — screenshots, scanned documents, charts, product photos.
  • Agents and workflows that call your own functions, because the model supports tool calling.
  • Long inputs: a 1M-token window fits whole contracts, codebases or transcripts in one request.
  • User-facing chat where partial output should appear while the model is still writing.

Not the right pick when

  • Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
  • Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.

Practical tips through odnoga

  1. 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
  2. 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
  3. 03Keep the stable part of your prompt at the front: cached input is billed at $0.3 per 1M tokens instead of $3.
  4. 04For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
  5. 05Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.

What a month costs

1,000 calls a month, 10,000 input tokens and 2,000 output tokens each, at your Free price (vendor cost +7%):

Input (10M tokens)$32.26
Output (2M tokens)$32.26
Your cost per month on Free$64.52

Vendor list cost $60.00 + odnoga margin $4.52 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.

Claude Sonnet 4.6 compared

ModelContextInput / 1MOutput / 1MCapabilities
Claude Sonnet 4.61M$3$15Vision, Tools, Streaming
Claude Fable 51M$10$50Vision, Tools, Streaming
Claude Fable 5.11M$10$50Vision, Tools, Streaming

Questions

How much does Claude Sonnet 4.6 cost per 1M tokens?
Anthropic lists $3 / $15 per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
What is Claude Sonnet 4.6 best for?
High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries. Work that mixes images with text — screenshots, scanned documents, charts, product photos. Agents and workflows that call your own functions, because the model supports tool calling.
Can I switch to Claude Sonnet 4.6 without changing my code?
Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "claude-sonnet-4-6" as the model id — or changing it in the managed prompt version, with no application deploy.
How large is the Claude Sonnet 4.6 context window?
1M tokens of input, with up to 128K tokens of output per response.

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