How do you start calling Claude Opus 4.7?

Use the model ID claude-opus-4-7 through the compatible chat completions endpoint. It is especially effective for asynchronous agent pipelines.

How do you get a cache hit on claude-opus-4-7?

To get a cache hit on claude-opus-4-7, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.

When was Claude Opus 4.7 released, and is it still maintained?

Claude Opus 4.7 was released on 2026-04-16. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

How does claude-opus-4-7 compare with other models, and what should you compare?

Compare claude-opus-4-7 against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

Does claude-opus-4-7 have a free tier?

Claude Opus 4.7 is billed per use and the record publishes no free-tier allowance. The current published rates are input $5.0000 per 1M tokens and output $25.0000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

How should you set the output budget for claude-opus-4-7?

For claude-opus-4-7, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

Model detail

Claude Opus 4.7

Q: What should you evaluate before moving production traffic to Claude Opus 4.7?

Test your asynchronous agent pipelines including multi-stage debugging and end-to-end project orchestration. Verify coherence across extended sessions.

Provided by Anthropic

Pay-as-you-go

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

Model specs

Model ID: claude-opus-4-7

Context length: 1M
Max output: 128K
I/O modalities
Released: 2026-04

API endpoints

One MixRoute gateway, OpenAI-compatible

Anthropic Messages /v1/messages POST
OpenAI-compatible /v1/chat/completions POST
Gemini /v1beta/models/{model}:generateContent POST

Pricing

Flat rate, unit: /1M Tokens

Input

$5.0000 /1M Tokens

Completion

$25.0000 /1M Tokens

Cache read

$0.5000 /1M Tokens

Cache creation

$6.2500 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Long-running asynchronous agents and knowledge work

Use Opus 4.7 for asynchronous agent pipelines, large codebases, multi-stage debugging, and end-to-end project orchestration. It maintains coherence across very long outputs and extended sessions.

What should you check before using it?

Test asynchronous agent pipeline reliability

Opus 4.7 is built for tasks that unfold over time. Test your multi-stage workflows and verify the model maintains coherence across extended sessions before production deployment. Knowledge cutoff: 2026-01.

Why use it through MixRoute?

Claude Opus 4.7 takes text and images on one route

Text and image inputs share the same route and the same key. MixRoute serves Claude Opus 4.7 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID claude-opus-4-7 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

Claude Opus 4.7 supports function and tool calls.

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

Structured output

Claude Opus 4.7 can produce JSON-formatted output on demand.

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

Streaming

Claude Opus 4.7 supports streamed responses.

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

Prompt caching

Claude Opus 4.7 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 Opus 4.7 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 Opus 4.7 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

Opus 4.7 is the next generation of Anthropic’s Opus family, built for long-running, asynchronous agents. It delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows.

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-opus-4-7

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