About
MiniMax-M3 is a multimodal foundation model from MiniMax.
Pricing
| Input | $0.31 | per 1M prompt tokens |
|---|---|---|
| Output | $1.23 | per 1M generated tokens, reasoning included |
| Cached input | $0.06 | per 1M tokens read back from the prompt cache |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0010 | $0.963 |
| Question over a long document40,000 in · 800 out | $0.014 | $13.53 |
| Agent tool step20,000 in · 1,200 out | $0.0078 | $7.75 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #5pdfAgent arenaElo 127762% wins
- #7codetovideoAgent arenaElo 123758% wins
- #11spreadsheetAgent arenaElo 125659% wins
- #14blender3dAgent arenaElo 109844% wins
- #14SlidesAgent arenaElo 107647% wins
- #18Game devAgent arenaElo 111445% wins
- #19Full stackAgent arenaElo 118347% wins
- #22Web appsAgent arenaElo 119648% wins
- #27Mobile appsAgent arenaElo 117346% wins
- #28Android appsAgent arenaElo 115945% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m3:batch",
"messages": [{ "role": "user", "content": "Hello" }]
}'Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="minimax/minimax-m3:batch",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "minimax/minimax-m3:batch",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);Parameters this model accepts
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p