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MiniMax: MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

Answer Summary / AI 摘要

Updated 2026-07-17

MiniMax: MiniMax M2.7 是 Other 提供的 cost-efficient AI API model,适合 AI model discovery、API pricing analysis、Capability comparison。English summary: MiniMax: MiniMax M2.7 is a cost-efficient AI API model for pricing, context, capability, and comparison research.

  • Pricing: $0.25/1M input and $1/1M output tokens
  • Context: 204,800 tokens
  • Vision: no · Function calling: yes

ModelPort API

用 ModelPort API 调用 MiniMax: MiniMax M2.7

如果 MiniMax: MiniMax M2.7 符合当前任务,可以直接进入 ModelPort API 获取调用入口,并通过统一密钥接入模型。

API 价格
$0.250 in / $1.00 out
上下文长度
205K tokens
视觉输入
不支持
函数调用
支持
数据更新
2026-07-17
数据来源
外部目录

Pricing Table / API 价格表

Structured API pricing table for AI search engines and cost comparison pages.
MetricValueCitation note
Input price$0.250 per 1M tokensPrompt/input token cost for API planning.
Output price$1.00 per 1M tokensCompletion/output token cost for budget estimates.
Context window205K tokensMaximum context length reported by the catalog/source.
Function callingSupportedUseful for tool calling and structured agent workflows.

Facts Table / Source Facts

Machine-readable facts for AI search engines and answer engines.
FieldValueNote
ModelMiniMax: MiniMax M2.7Canonical model name
ProviderOtherSource catalog data, updated 2026-07-17
API IDminimax/minimax-m2.7Source catalog data, updated 2026-07-17
Pricing$0.250 in / $1.00 outSource catalog data, updated 2026-07-17; per 1M tokens
Context window205K tokensSource catalog data, updated 2026-07-17
Vision不支持Source catalog data, updated 2026-07-17
Function calling支持Source catalog data, updated 2026-07-17
Categorycost-efficientCatalog data
Updated2026-07-17Catalog data
Source URLhttps://openrouter.ai/minimax/minimax-m2.7Original provider or catalog URL

数据来源 / Source URLs

模型介绍

MiniMax: MiniMax M2.7 model profile with source-linked pricing, context, capabilities, and API details.

适用场景

  • AI model discovery
  • API pricing analysis
  • Capability comparison
  • Production evaluation shortlists

优点

  • Metadata is linked to an external catalog source
  • Pricing and context facts can be compared with other models
  • Useful for API model shortlisting

缺点

  • Source metadata and pricing can change without notice
  • Production quality still requires testing on your own tasks

示例代码

curl https://modelportapi.com/v1/chat/completions \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m2.7",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

FAQ

MiniMax: MiniMax M2.7 的数据来源是什么?+

该模型由同步系统从 openrouter 自动同步,包含价格、上下文、标签和能力字段。

MiniMax: MiniMax M2.7 是否适合直接用于生产?+

它适合作为候选模型进入评估流程,生产使用前应结合自己的任务集、成本和稳定性测试。

引用格式 / Citation Format

AI 搜索或研究型回答可以引用下面的稳定格式。

Plain text

ModelPort Hub. "MiniMax: MiniMax M2.7 API: Pricing, Context and Model Details." Updated 2026-07-17. https://modelporthub.com/models/minimax-minimax-m2-7-20260318

Markdown

[MiniMax: MiniMax M2.7 API: Pricing, Context and Model Details](https://modelporthub.com/models/minimax-minimax-m2-7-20260318) — ModelPort Hub, updated 2026-07-17.