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HY-Vision-2.0-Instruct

tencent/hy-vision-2.0-instruct
/v1/completions/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

快思考模型,适用通用图生文场景。相比上代模型在基础感知、内容识别、知识、OCR、STEM、推理、图表理解等维度有明显提升。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥7.5Output¥17.5per 1M tokens
Context window
44K
Added to catalog
Nov 3, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Tencent¥7.5¥17.5¥044K16K

Tencent

Latency
2.41s
Throughput
76 tokens/s
Context
44K

Pricing

Input
¥7.5/M tokens
Output
¥17.5/M tokens
Cached
¥0/M tokens

Specifications

Context
44K
Max output
16K
Supported APIs
/v1/completions/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

HY-Vision-2.0-Instruct 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/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) response = client.completions.create( model="tencent/hy-vision-2.0-instruct", prompt="Enter your request here", max_tokens=1024, ) print(response.choices[0].text)
                
              

No public applications are currently listed for this model.

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