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.

Operationeel · 7 variants · vanaf $0.010

Probeer in playground API-documentatie →

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.

Meerdere varianten voor verschillende snelheid-/kwaliteitsniveaus
Modelskill bevat docs, schema's en setupnotities
Werkt met appgerichte codeerworkflows
Mislukte generaties worden niet in rekening gebracht

VARIANTS

Vergelijk alle API-varianten

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

API

MiniMax API-endpoints

Gebruik de OpenAI- of Anthropic-SDK met je RunAPI-sleutel. Geen extra SDK nodig.

Endpoint	Protocol
/v1/chat/completions	OpenAI compatible

HOE HET WERKT

Van modelskill naar eerste resultaat in vier stappen

Kies het model

Kies het model en de variant die passen bij je outputtype, kwaliteitslat en latencydoel.

Configureren

Stel je RunAPI-key in en installeer de modelskill in je codeworkspace.

Bouwen

Gebruik de skill-instructies om de modelfeature in je applicatie toe te voegen.

Ontvangen

Poll op task-ID, stream wanneer ondersteund of verwerk de webhook-callback.

CONTEXT

Wat is de 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

WAAROM RUNAPI