Large Language Modelminimax-m3

MiniMax M3

Multimodal LLM

MiniMax flagship language and multimodal reasoning engine with native 512K context and expressive text generation.

Dense TransformerProprietary

Params

512K Native

Context

512K

Max Output

32K

API Surface/v1/chat/completions

Capabilities & Performance

  • Native long-context processing with exceptional creative writing and reasoning
  • Starting at Price input down to Price on Enterprise

Transparent Pricing

LanePublic RateCached
Realtime API¥2.69 / ¥10.75¥0.537

Prices per 1M tokens. Cached prompt rate applies on prefix hits.

100% OpenAI-Compatible Code

Drop-in API Examples

Python (OpenAI SDK)
from openai import OpenAI

client = OpenAI(
    base_url="https://api.batchin.tech/v1",
    api_key="BATCHIN_API_KEY"
)

resp = client.chat.completions.create(
    model="minimax-m3",
    messages=[{"role": "user", "content": "Benchmark system architecture performance and cost profile."}]
)

print(resp.choices[0].message.content)
JavaScript / Node.js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.batchin.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "minimax-m3",
  messages: [{ role: "user", content: "Benchmark system architecture performance and cost profile." }],
});

console.log(resp.choices[0]?.message?.content);
cURL / Shell
curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m3",
    "messages": [{"role":"user","content":"Benchmark system architecture performance and cost profile."}]
  }'

Related Next-Gen Models

View all models →
minimax-h3MiniMax

MiniMax H3 Video

MiniMax H3 video synthesis engine specializing in realistic character performance and natural facial expressions.

deepseek-v4-proDeepSeek

DeepSeek V4 Pro

DeepSeek next-gen MoE reasoning flagship for complex architectural design, autonomous coding loops, and math proofs.

qwen3.8-maxQwen

Qwen 3.8 Max

Alibaba 2.4-trillion-parameter MoE flagship model with native 1M context, state-of-the-art autonomous coding, and comprehensive multimodal reasoning. Supports deterministic 0902 snapshot alias.