MiniMax

MiniMax-M3.1-Flash

minimax/minimax-m3.1-flash
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

MiniMax-M3.1-Flash 是 MiniMax 的一款多模态型号。与 M3 相比,它在多个基准测试中带来了显著提升,尤其是在复杂的代理任务、编码和网络安全方面。它专为复杂、多步骤的协作自动化而建,理解真实代码库,修复漏洞,构建功能,以及视觉化理解和创建,包括前端和演示创建。计划进行开放式重量训练。

Input / output modalities
文本 · 图像 · 视频 to 文本
Reference input / output price
Input¥1Output¥4per 1M tokens
Context window
1M
Added to catalog
Oct 20, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
MiniMax¥1¥4¥0.11M81.9K

MiniMax

Latency
2.32s
Throughput
119 tokens/s
Context
1M

Pricing

Input
¥1/M tokens
Output
¥4/M tokens
Cached
¥0.1/M tokens

Specifications

Context
1M
Max output
81.9K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

MiniMax-M3.1-Flash 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="minimax/minimax-m3.1-flash", 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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