claude-opus-4.7 vs gpt-5.5

Compare claude-opus-4.7 from anthropic and gpt-5.5 from openai side by side — pricing, context window, features, and provider availability.

Compare

claude-opus-4.7

gpt-5.5

claude-opus-4.7

By : anthropic

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.

gpt-5.5

By : openai

GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT‑5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going.

Model Overview

Feature

claude-opus-4.7

gpt-5.5

Input Context Window

The number of tokens supported by the input context window.

tokens

1.1M

tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

128K

tokens

128K

tokens

Release Date

When the model was first released.

April 16, 2026

6 months ago

April 25, 2026

6 months ago

Input Type

The types of inputs the model can process.

Output Type

The types of outputs the model can process.

gpt-5.5 offers a larger context window (1,050,000 tokens vs 1,000,000 tokens). claude-opus-4.7 is cheaper for output tokens ($25/M vs $30/M). claude-opus-4.7 has lower latency (932ms vs 3286ms). gpt-5.5 achieves higher throughput (84 tok/s vs 6 tok/s). claude-opus-4.7 supports reasoning capabilities, while gpt-5.5 does not.

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How to use claude-opus-4.7 or gpt-5.5

Simply change the model name to claude-opus-4.7 or gpt-5.5 to adjust the model. 开桥 normalizes requests and responses across providers for you.

OpenAI: Python-SDK

OpenAI: cURL

Anthropic: Python-SDK

Anthropic: cURL

from openai import OpenAI

client = OpenAI(
  base_url="https://openqiao.com/api/v1",
  api_key="<OPENQIAO_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="claude-opus-4.7",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

# Responses API
responses = client.responses.create(
  model="claude-opus-4.7",
  input="What is the meaning of life?"
)
print(responses)