MiniMax M2.7

MiniMax M2.7 is available after commercial review or workspace setup.

Model detailAccess reviewDense Transformer

Params

M2.7

Context

256K

Max Output

64K

License

Open-source (Non-commercial)

API Surface

/v1/chat/completions

Access

Access review

Why pick it

Access is enabled only after workspace setup or commercial review.
Pricing appears only when verified by the live service catalog.

Pricing

TierPublicCachedNote

Realtime$0.21 / $0.84$0.073Current published price

Batch$0.21 / $0.84$0.073Published batch rates appear here when available

Pricing is synced from the live BatchIn catalog.

Quick start

This model is not yet open for public testing. Contact the team for the right access path.

Contact team Open pricing

Python

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-m2.7",
    messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload"}]
)

print(resp.choices[0].message.content)

JavaScript

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-m2.7",
  messages: [{ role: "user", content: "Summarize why this model is a fit for my workload" }],
});

console.log(resp.choices[0]?.message?.content);

cURL

curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m2.7",
    "messages": [{"role":"user","content":"Summarize why this model is a fit for my workload"}]
  }'

Specs

Architecture

Dense Transformer

Vendor

MiniMax

Context window

256K

Max output

64K

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