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Large Language Modelminimax-m3

MiniMax M3

Multimodal LLM

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

AvailableDense 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 $0.400/M input down to $0.300/M on Enterprise

Transparent Pricing

LanePublic RateCached
Realtime API$0.40 / $1.60$0.080
Batch QueueBatch rates available on rollout$0.080

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

100% OpenAI-Compatible Code

Drop-in API Examples

Get API Key
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."}]
  }'

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MiniMax M3 | BatchIn