MiniMax M3
everyais/minimax-m3
MiniMax M3 (everyais/minimax-m3) availability, capabilities, context limits, and public reference pricing on everyais.
You can also call it as: minimax-m3
Model family minimaxInput TextOutput Text
Available now
- Model type
- Chat
- Released
- 2026-06-01
- Price unit
- Per 1M tokens
- Context window
- 1.0M
- Maximum output
- Not yet published
- Model reference price (USD)
- Input / 1M tokens
- $0.3
- Output / 1M tokens
- $1.2
- Cache read / 1M tokens
- $0.06
Capabilities
- ✓ Streaming
- ✓ Tool use
- ✓ Reasoning
Supported APIs
Usage and availability trend
Daily tokens
Insufficient sample — not enough requests to publish usage.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
The API key is read from the EVERYAIS_API_KEY environment variable.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["EVERYAIS_API_KEY"],
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/minimax-m3",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Related models
Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.
Pricing and specs: public catalog · updated