claude-3-7-sonnet-20250219

Name: claude-3-7-sonnet-20250219
Brand: Anthropic

AnthropicChatReasoningVision

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Fixed-Version Reasoning Model for Multimodal Understanding and Complex Conversations

Claude 3.7 Sonnet is a chat model in Anthropic's Sonnet series, and claude-3-7-sonnet-20250219 is the date-fixed version, combining reasoning and visual understanding capabilities. It is suited to organizing text, screenshots, and task constraints into analyses, code suggestions, or document drafts, and is also suitable for existing projects that retain a specific version for regression comparisons; new projects should consider newer Sonnet models in light of its lifecycle.

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AnthropicModel brand

ChatModel type

Reasoning, visual understandingTask capabilities

STANDARD APIs · QUICK SETUP

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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.

API hostapi.acedata.cloud

modelclaude-3-7-sonnet-20250219

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OpenAI Python SDK

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ACEDATACLOUD_API_KEY"],
    base_url="https://api.acedata.cloud/v1",
)
response = client.chat.completions.create(
    model="claude-3-7-sonnet-20250219",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.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.

Specifications and Interface Features

Clarify capacity, inputs and outputs, and invocation methods before choosing a model.

Version identity: Claude 3.7 Sonnet date-fixed version: claude-3-7-sonnet-20250219
Capability combination: Chat, reasoning, visual understanding
Multimodal input: Text messages, or mixed text and image_url content blocks
Response output: Standard responses and streaming interactions are subject to the corresponding API documentation
Interaction method: Standard text or streaming text; message history is organized by the application according to the selected protocol
Invocation endpoint: Chat Completions or Messages API

The date version specifies the model identity; multimodal and streaming requests are organized according to the selected public protocol. For ongoing discussions, the application must include relevant history; the model name does not imply that the platform automatically stores sessions.

Core Capabilities

Learn what claude-3-7-sonnet-20250219 can bring to your work.

Analyze Around Constraints

Suitable for placing the problem context, decision criteria, and expected results in the same task, allowing the model to organize analysis steps, compare options, and form written conclusions. When handling code or business rules, you can ask it to separately list known conditions, assumptions, and items to be verified, making responses easier to review instead of receiving only an unexplained recommendation.

Include Screenshots in the Discussion

Text and images can be combined as input to ask specific questions about interface screenshots, document screenshots, or charts. Compared with describing the image alone, attaching it directly makes it easier to discuss layout, visible text, and information relationships. Deliverables are still mainly text, and you can request an issue list, chart description, or follow-up revision suggestions.

Maintain Task Context

In messages for Messages or Chat Completions, include user and assistant messages related to the current task, handling the specific format according to the selected public API. Retain the latest code, interim conclusions, and important constraints; when necessary, re-summarize lengthy history to avoid relying on outdated information.

Applicable Scenarios

Start with specific tasks to find where the model can be useful.

Code Review and Modification Suggestions

Provide relevant code snippets, error messages, and expected behavior, and ask the model to explain possible causes before offering modification suggestions and testing checklist items. This is suitable for turning troubleshooting into a discussable repair draft; code execution, test runs, and deployment should still be completed in the development environment, and generated suggestions should not be treated directly as verified results.

Interface and Chart Analysis

Submit product screenshots or charts and explain what needs to be checked, such as information hierarchy, field meanings, or whether the presentation is easy to misunderstand. Ask the model to describe issues by location and separate visible information from inferences, ultimately producing a review checklist or explanatory draft. Key values should preferably also be provided as text for item-by-item comparison.

Document Organization and Iteration

Prepare document text, table data, or clear page screenshots related to the issue, and explain whether you need a summary, comparison, or extraction of specific information. Submit them in the content formats supported by the selected public API; PDF URLs cannot be used as image_url. Request that results retain original-text locations, field sources, and unconfirmed items, and verify key figures against the source materials.

How to choose this model

Choose based on task complexity, input materials, and expected results.

Existing projects prioritize version consistency

If existing prompts, review records, or regression samples were built around Claude 3.7 Sonnet, explicitly using the date ID helps organize same-version comparisons. It should not be mixed with claude-3-7-sonnet-thinking, nor should specifications from later Sonnet versions be applied to it. Pinning a version clarifies the test subject, but does not guarantee word-for-word identical responses or long-term availability.

New projects should evaluate later versions first

Anthropic has listed this model as retired, with claude-sonnet-4-6 as the officially recommended replacement. New projects should prioritize evaluating later Sonnet versions; existing projects can compare answer quality and API compatibility using real code, image-and-text samples, and multi-turn tasks. Do not judge benefits solely by version names, and do not skip migration testing by reusing old configurations.

Start with a specific task

Based on the characteristics of claude-3-7-sonnet-20250219, first validate small tasks whose results can be checked.

Review reasoning steps and code drafts

You can ask directly: Check whether this fix draft meets the requirements, list missing conditions and tests that could disprove it, then prepare a review summary.

Prepare inputs that support decisions

Retain regression samples for applications using existing pinned versions; handle thinking parameters according to the public API, and do not infer all configuration options from the model name.

Then integrate it into your workflow

Use the full model ID claude-3-7-sonnet-20250219, first confirm the public request format and available parameters on the API page, then connect your application. Preserve result parsing, exception handling, and relevant evidence, and use the same set of real samples to evaluate whether it is suitable for continued use.

Usage boundaries

Before formal use, understand output quality and capability boundaries.

Having reasoning capabilities does not mean this date-specific endpoint automatically enables Extended Thinking, nor does it mean it will necessarily return the full thinking process. If a task depends on a dedicated thinking budget, choose an invocation method that explicitly supports the relevant controls; do not treat general reasoning fields as equivalent substitutes for native parameters.
Vision understanding is primarily for analyzing input images, not image generation. Small text, blurry screenshots, or complex charts may lead to misinterpretation; when precise information such as fields, amounts, and coordinates is involved, include copyable text and ask the response to distinguish visible content from inferences.
The official retirement date is February 19, 2026, and this date applies to the service scope specified in Anthropic documentation. A fixed date ID does not mean permanent availability; applications that run long-term should prepare replacement models, regression samples, and exception handling to avoid treating an old version as the sole dependency.

Frequently Asked Questions

Answers to common questions when using claude-3-7-sonnet-20250219.

What is the relationship between the date suffix and Claude 3.7 Sonnet?

claude-3-7-sonnet-20250219 is the date-pinned model ID for Claude 3.7 Sonnet, not a general term for subsequent Sonnet models. When calling it, use the full ID to clearly identify the testing and integration target; a fixed date does not mean the output is fully deterministic, nor is it a version name that is continuously upgraded automatically.

Can it be used interchangeably with claude-3-7-sonnet-thinking?

They should not be used interchangeably. They are different call IDs, and this page describes the date-pinned endpoint. Reasoning capability and how Extended Thinking is enabled are not the same concept; if dedicated thinking control is needed, use an endpoint that explicitly supports this feature and revalidate the parameters and returned content.

How can I make it analyze images instead of only reading text?

In multimodal content blocks supported by the selected API, combine a text question with a clear image, and specify the area of interest and expected output. Chat Completions uses text and image_url, while Messages uses its native image content block; do not use PDF or video addresses as image_url.

How should I choose between the two conversation endpoints?

Applications that already use the OpenAI messages structure can use Chat Completions; if Claude-native content blocks, thinking, or tool_use/tool_result flows are needed, check Messages API support for this model. Handle the request, response, and parameter formats separately, and retain the full model ID.

What should be compared first when migrating from this version?

The officially recommended replacement model is claude-sonnet-4-6. During migration, prioritize comparing code suggestions, screenshot understanding, instruction following, and multi-turn consistency on real tasks, while also checking response parsing and error handling. The old version has entered official retirement status, so also verify whether the replacement model can cover core workflows.

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Official ~~$15.00~~

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claude-3-7-sonnet-20250219

Fixed-Version Reasoning Model for Multimodal Understanding and Complex Conversations

Keep your SDK. Connect in minutes.

Specifications and Interface Features