Text · MiniMax

MiniMax API

MiniMax text API access via RunAPI — 230B MoE models from 200K to 1M context, up to 80.5% SWE-bench Verified.

可直接上線 · 7 variants · 起價 $0.010

runapi.ai

# Base URL
https://runapi.ai

# Endpoints
POST /v1/chat/completions

curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "MiniMax-M3",
  "messages": [
    {
      "role": "user",
      "content": "Given this API spec, generate a typed client, write integration tests against a mock server, and iterate until they pass."
    }
  ]
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="MiniMax-M3",
    messages=[{"role": "user", "content": "Given this API spec, generate a typed client, write integration tests against a mock server, and iterate until they pass."}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "MiniMax-M3",
  messages: [{ role: "user", content: "Given this API spec, generate a typed client, write integration tests against a mock server, and iterate until they pass." }]
});

https://runapi.ai /v1/chat/completions

OVERVIEW

MiniMax's M-series are sparse Mixture-of-Experts text models (230B total / ~10B active, 256 experts) built for cost-efficient coding. M2 through M2.7 offer 200K context with progressively stronger agentic capabilities — M2.7 reaches 56.2% on SWE-bench Pro. MiniMax-M3 restores 1M context with a new Sparse Attention architecture, scoring 80.5% on SWE-bench Verified and 59.0% on SWE-bench Pro. Highspeed variants run the same weights at ~100 tokens/sec for latency-sensitive work. All are available through RunAPI with one key and per-token billing.

多種變體可對應不同速度／品質等級
Model skill 包含文件、schema 與 setup 備註
支援 app-focused coding workflows
生成失敗不收費

VARIANTS

比較所有 API 變體

Variant	Billing	From
MiniMax-M2	1K tokens	$0.010	查看 →
MiniMax-M2.1	1K tokens	$0.010	查看 →
MiniMax-M2.5	1K tokens	$0.010	查看 →
MiniMax-M2.5-highspeed	1K tokens	$0.020	查看 →
MiniMax-M2.7	1K tokens	$0.010	查看 →
MiniMax-M2.7-highspeed	1K tokens	$0.020	查看 →
MiniMax-M3	1K tokens	$0.010	查看 →

API

MiniMax API 端點

使用 OpenAI 或 Anthropic SDK 搭配 RunAPI key 呼叫，不需額外 SDK。

Endpoint	Protocol
/v1/chat/completions	OpenAI compatible

運作方式

從 model skill 到第一次結果，只要四步

選擇模型

挑選符合輸出類型、品質門檻與延遲目標的模型與變體。

設定

設定 RunAPI key，並在 coding workspace 安裝 model skill。

開發

使用 skill 指引，在你的 app 內加入模型功能。

接收

透過 task ID 查詢、在支援時串流，或處理 webhook callback。

CONTEXT

什麼是 MiniMax API？

MiniMax M-series text models are 230B MoE LLMs with 200K–1M context, delivering frontier coding scores at a fraction of the cost of dense models. Through RunAPI they share a single API key with pay-as-you-go token billing, callable from the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages surfaces. These are MiniMax's text models, distinct from MiniMax Hailuo video generation.

Provider

MiniMax

Modality

Text

為什麼選 RunAPI