Anthropic model

Claude Opus 4.7

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...

AnthropicOpenRouter if availableCatalog
Tool callingJSON modeLong contextReasoningStreamingVision
Input price$5 / 1M tokens
Output price$25 / 1M tokens
Context length1M tokens
AvailabilityCatalog

Best use cases

  • frontier reasoning
  • large codebase review
  • strategy analysis
  • high-stakes writing

OpenAI-compatible code example

Keep the OpenAI SDK style, set base_url to NextModel, and use the catalog model ID claude-opus-4-7.

Python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.nextmodel.app/v1"
)

resp = client.chat.completions.create(
    model="claude-opus-4-7",
    messages=[{"role": "user", "content": "Hello from NextModel"}]
)

print(resp.choices[0].message.content)

Similar alternatives

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GoogleCatalog

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Tool callingVisionJSON modeLong context
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
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DeepSeekCatalog

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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JSON modeLong contextReasoningStreaming
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
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FAQ

Anthropic: Claude Opus 4.7 API questions

When is Claude Opus 4.7 worth the cost?

Use it for difficult reasoning, large code reviews, and quality-sensitive workflows where failure cost is higher than token cost.

Anthropic: Claude Opus 4.7 API pricing, capabilities, context, and OpenAI-compatible code · NextModel