Anthropic

Claude Haiku 4.5

anthropic/claude-haiku-4.5
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Claude Haiku 4.5 为各种用例提供​​近乎前沿的性能,并脱颖而出,成为最佳编码和代理模型之一——其速度和成本恰到好处,能够为免费产品和海量用户体验提供支持。用例:为免费层级用户体验提供支持:Claude Haiku 4.5 以合理的成本和速度提供近乎前沿的性能,使为免费代理产品和代理用例提供支持在经济上可行。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥7Output¥35per 1M tokens
Context window
200K
Added to catalog
Oct 16, 2025

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Amazon Bedrock¥7¥35¥0.7200K64K
Vertex¥7¥35¥0.7200K64K

Amazon Bedrock

Latency
1.05s
Throughput
111 tokens/s
Context
200K

Pricing

Input
¥7/M tokens
Output
¥35/M tokens
Cached
¥0.7/M tokens
Cache write (1 hour)
¥14/M tokens
Cache write (5 minutes)
¥8.75/M tokens

Additional pricing

Cache write
¥8.75
Cache read
¥0.7
Cache write price 5m
¥8.75
Cache write price 1h
¥14

Specifications

Context
200K
Max output
64K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Vertex

Latency
6.98s
Throughput
13 tokens/s
Context
200K

Pricing

Input
¥7/M tokens
Output
¥35/M tokens
Cached
¥0.7/M tokens
Cache write (1 hour)
¥14/M tokens
Cache write (5 minutes)
¥8.75/M tokens

Additional pricing

Cache write
¥8.75
Cache read
¥0.7
Cache write price 5m
¥8.75
Cache write price 1h
¥14

Specifications

Context
200K
Max output
64K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Claude Haiku 4.5 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-haiku-4.5", 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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