Anthropic

Claude Sonnet 4.6

anthropic/claude-sonnet-4.6
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Sonnet 4.6 是 Anthropic 迄今为止最强大的 Sonnet 级模型,在编码、代理和专业工作领域表现出色。它擅长迭代开发、复杂的代码库导航、带内存的端到端项目管理、精致的文档创建,以及自信的网页质量保证和工作流程自动化的计算机使用。

Input / output modalities
文本 · 图像 · 文件 to 文本
Reference input / output price
Input¥21Output¥105per 1M tokens
Context window
1M
Added to catalog
Feb 18, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Amazon Bedrock¥21¥105¥2.11M64K
Vertex¥21¥105¥2.11M128K

Amazon Bedrock

Latency
2.63s
Throughput
115 tokens/s
Context
1M

Pricing

Input
¥21/M tokens
Output
¥105/M tokens
Cached
¥2.1/M tokens
Cache write (1 hour)
¥42/M tokens
Cache write (5 minutes)
¥26.25/M tokens

Additional pricing

Cache write
¥26.25
Cache read
¥2.1
Cache write price 5m
¥26.25
Cache write price 1h
¥42

Specifications

Context
1M
Max output
64K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Vertex

Latency
3.59s
Throughput
137 tokens/s
Context
1M

Pricing

Input
¥21/M tokens
Output
¥105/M tokens
Cached
¥2.1/M tokens
Cache write (1 hour)
¥42/M tokens
Cache write (5 minutes)
¥26.25/M tokens

Additional pricing

Cache write
¥26.25
Cache read
¥2.1
Cache write price 5m
¥26.25
Cache write price 1h
¥42

Specifications

Context
1M
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Claude Sonnet 4.6 code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="anthropic/claude-sonnet-4.6", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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