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Compare claude-opus-4.7 from anthropic and gpt-5.5 from openai side by side — pricing, context window, features, and provider availability.
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 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.
OpenQiao Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
OpenQiao Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Why limit yourself to one model? OpenQiao gives you access to all leading AI models through a single, unified API. Compare, test, and switch between models effortlessly.
Simply change the model name to claude-opus-4.7 or gpt-5.5 to adjust the model. OpenQiao normalizes requests and responses across providers for you.
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)