MiniMax M2.5 on Featherless

Name: MiniMax M2.5 on Featherless
Brand: MiniMax
SKU: minimax-m2.5-featherless
Price: 0.295 USD

MiniMax M2 · MiniMax

ServerlessOpen Source

Last refreshed 2026-09-24. Next refresh: weekly.

Why use MiniMax M2.5 on Featherless?

Featherless offers MiniMax M2.5 with pay-as-you-go pricing at $0.29/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).

Compare MiniMax M2.5 across 6 providers to find the best fit for your use case

Input / 1M

$0.295

Output / 1M

$1.20

Cache

Not sourced

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export FEATHERLESS_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    base_url="https://api.featherless.ai/v1",

Model ID

MiniMaxAI/MiniMax-M2.5

Request example

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.featherless.ai/v1",
    api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
    model="MiniMaxAI/MiniMax-M2.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Gotchas

Use provider model ID "MiniMaxAI/MiniMax-M2.5", not the LLMReference slug "minimax-m2.5".
Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.