Can you control the reasoning budget on claude-sonnet-5-5?

claude-sonnet-5-5 is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Can you call claude-sonnet-5-5 with the OpenAI SDK you already use?

Yes. claude-sonnet-5-5 is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to claude-sonnet-5-5 . Keep your current request and response handling.

How does claude-sonnet-5-5 compare with claude-fable-5-1, and what should you compare?

claude-sonnet-5-5 sits alongside claude-fable-5-1 , gpt-6-astra , claude-opus-5 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

How does claude-sonnet-5-5 score on benchmarks?

Recorded results for claude-sonnet-5-5: aa_intelligence_index 97.0. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

What should you evaluate before moving production traffic to claude-sonnet-5-5?

Before switching production traffic to claude-sonnet-5-5, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Model detail

Claude Sonnet 5.5

Provided by Anthropic

Pay-as-you-go

Claude Sonnet 5.5 is an Anthropic model for well-scoped coding and everyday knowledge work. It accepts text and images, produces text, and supports adaptive reasoning with configurable effort.

Model specs

Model ID: claude-sonnet-5-5

Context length: 1M
Max output: 128K
I/O modalities
Released: 2026-09

API endpoints

One MixRoute gateway, OpenAI-compatible

Anthropic Messages /v1/messages POST
OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$2.0000 /1M Tokens

Completion

$10.0000 /1M Tokens

Cache read

$0.2000 /1M Tokens

Cache creation

$2.5000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Claude Sonnet 5.5 is an Anthropic model for well-scoped coding

Claude Sonnet 5.5 is an Anthropic model for well-scoped coding and everyday knowledge work. It accepts text and images, produces text, and supports adaptive reasoning with configurable effort.

What should you check before using it?

1,000,000 context, 128,000 output tokens

claude-sonnet-5-5 supports reasoning, tool calling, structured output, streaming, prompt caching, vision input and the OpenAI SDK. Knowledge cutoff: 2026-06. Released 2026-09-28.

Why use it through MixRoute?

claude-sonnet-5-5 keeps its 1,000,000-token context on one route

The full 1,000,000-token context stays reachable on the same route. MixRoute serves claude-sonnet-5-5 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID claude-sonnet-5-5 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

claude-sonnet-5-5 supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

claude-sonnet-5-5 can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

claude-sonnet-5-5 supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

claude-sonnet-5-5 supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

claude-sonnet-5-5 can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call claude-sonnet-5-5 through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 1M

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

Reasoning tokens are billed as output on claude-sonnet-5-5, at $10 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

claude-sonnet-5-5

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs