Claude Sonnet 5.5 is a model in the Anthropic Claude 5.5 family that balances speed and intelligence, designed for well-defined engineering tasks, bug fixes, and work involving documents, slides, and spreadsheets. Compared with Sonnet 5, the official report cites improvements in coding, image understanding, and knowledge work, while emphasizing clearer collaborative communication. This platform provides access through the native Messages interface, supporting image input and adaptive thinking.
Point the Base URL to api.acedata.cloud, configure your platform API key and the model ID below, and use your compatible SDK or client.
import os
from anthropic import Anthropic
client = Anthropic(
auth_token=os.environ["ACEDATACLOUD_API_KEY"],
base_url="https://api.acedata.cloud",
)
response = client.messages.create(
model="claude-sonnet-5-5",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.content)Choose an available protocol for this model. OpenAI SDK uses a Base URL ending in /v1; Anthropic SDK uses the root URL. See each guide for protocol-specific parameters, tools and response formats.
Clearly defined capacity and native Messages request method.
Capacity is based on the official model overview; actual parameters, account permissions, and fees are subject to the corresponding API and pricing sections on this platform. Maximum output and input must be planned together within the context budget.
Match model strengths to specific work.
Official release materials highlight Sonnet 5.5's progress on real-world engineering tasks, with Terminal-Bench 4.0, FrontierCode, and CursorBench all providing comparative evidence. It is suitable for providing reproduction information, relevant modules, and completion criteria, allowing the model to organize patches, check dependencies, and advance multi-file changes; benchmark scores do not directly guarantee correctness in a project.
Official materials report improvements in knowledge work and chart recognition, and the model also supports image input. Report text, screenshots, and table materials can be combined to complete extraction, comparison, and draft writing. Requiring results to list sources and missing information helps turn analysis into business deliverables that are easy to review.
Release materials emphasize clearer expression and faster iteration on everyday tasks. You can first provide goals, examples, and constraints, then revise step by step based on review feedback; when using tools provided by an application to perform queries or changes, tool results must be used to confirm the execution status.
Choose based on task scope and result format.
Provide the code version, error behavior, and relevant files, allowing the model to identify the issue and develop a modification plan. Determine whether the work is complete through actual project execution and review; this is especially suitable for development tasks with clear boundaries that require rapid feedback.
Give the model research materials, business data, and template requirements together, and require it to output a complete structure and supporting basis. The document creation capabilities described on the page require support from an editing or file-tool environment; ordinary Messages responses do not automatically generate and save Office files.
Use it to interpret interfaces, charts, or document images, and organize results by business fields. If a task requires operating software or continuously reading the screen, the application must provide the corresponding tools, permissions, and execution environment; image understanding cannot replace actual operations.
Consider both task difficulty and the cost of the overall work.
Official reports state that Sonnet 5.5 produces output faster, uses less for similar tasks, and has the same official per-Token pricing across both generations. This does not treat the speed and task cost changes in official tests as platform commitments; use your own samples to compare output usage, retries, and manual revision costs.
For highly open-ended tasks that require long-term judgment and sustained exploration, the official view remains that Opus 5.5 is stronger. Sonnet 5.5 is better suited to everyday work with a clearly defined scope; higher reasoning settings also increase waiting time and usage, so evaluate based on actual completion quality.
First validate representative tasks, then integrate it into your workflow.
Clearly define the patch, analysis, or documentation to be delivered, and add the necessary context and verifiable completion criteria.
Use claude-sonnet-5-5 and the native Messages request structure, set max_tokens, and start with small-scope tasks.
Handle content blocks, tool results, and streaming events according to the platform documentation, and retain process records and actual execution results.
Understand the relationship between model capabilities and the application execution environment.
Answers to questions about selecting and integrating claude-sonnet-5-5.
The official positioning describes it as a model that balances speed and intelligence, emphasizing everyday engineering tasks, bug fixes, and professional documentation work. For highly open-ended tasks that require continuous judgment, you may continue comparing Opus 5.5.
The official model overview lists a 1M-token context and a 128K-token maximum output. Input and reserved output should be planned together; actual requests must still meet this platform's API limits.
Use POST /v1/messages, and specify claude-sonnet-5-5 in the model field. Native requests include messages and max_tokens; input tokens can be estimated through /v1/messages/count_tokens.
The official conclusions on speed and task cost come from its test conditions. Actual wait times are also affected by input, output length, thinking settings, tool steps, and application networking, and should be measured in your own scenario.
The model can organize content, understand code, and propose tool actions. Completing file generation or repository writes requires the application to connect the appropriate tools and verify saved and execution results; a normal text response cannot be directly regarded as completed file delivery.
Model information · Updated: 2026-10-01. For API parameters and billing rules, see the API and pricing sections.
Choose a development approach or application suited to this model and follow its setup guide.
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↗Claude Code CLI Setup Guide
Coding tool setup · requires a Coding Plan application keyThis is only a basic call example. See the full docs for more parameters and advanced usage.
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