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Model details

Claude Opus 4.7 Thinking

Claude Opus 4.7 Thinking is the extended-thinking variant of Claude Opus 4.7, exposed through an OpenAI-compatible interface that works as a drop-in replacement with the OpenAI SDK. Step-by-step internal reasoning is enabled by default, so the model is built to deliberate through multi-stage problems rather than produce a single-shot answer. The provider documentation frames it as the most capable reasoning option in the family, aimed at workloads where careful inference traces translate into better outcomes, such as advanced mathematics, scientific research, complex coding, and architectural decision-making. Streaming is delivered through Server-Sent Events, making it suitable for interactive applications that surface partial reasoning or incremental results to end users.

In practical terms, this configuration favors teams that need deep analytical behavior on long, structured tasks. The model's long-context capability is highlighted as a core strength for ingesting large documents and sustaining long multi-turn conversations without losing track of earlier details, which pairs naturally with tool-calling and structured-output workflows when building agents, research assistants, or code-generation pipelines. Because the endpoint mimics the OpenAI SDK contract, developers can integrate it into existing client code with minimal changes, while the always-on thinking mode removes the need to manually toggle reasoning on for each request. The result is a deployment-oriented profile that prioritizes accuracy on hard reasoning tasks over raw latency, fitting scenarios where correctness and traceable reasoning matter more than quick responses.

AIHubMixclaude-opus-4-7-thinkclaude-opus

Quick Info

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Provider
AIHubMix
Model key
claude-opus-4-7-think
Release date
Apr 16, 2026
Last updated
Apr 16, 2026
Knowledge cutoff
2026-01-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.00
Output token cost
$25.00

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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