MiniMax M3 pricing for meeting notes

Quick start

Call MiniMax M3 with the OpenAI Python SDK pointed at api.minimax.chat:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.minimax.chat/v1",
    api_key=os.environ["MINIMAX_API_KEY"],
)
response = client.chat.completions.create(
    model="minimax-m3",
    max_tokens=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.004800 per call at standard rates
# Input:  $0.30/MTok
# Output: $1.20/MTok

How MiniMax M3 compares on cost

Per-call cost for all models scoring 50+ on meeting notes benchmarks. Hover for details.

Highest-quality affordable option: Gemini 3 Flash at $0.0100/call (2.1x the cost, 83/100 quality). MiniMax M3 is already the cheapest choice for meeting notes.

What drives meeting notes cost

Transcripts are long and low-density (an hour of conversation is a lot of tokens carrying comparatively little information) while the notes that come back are short. That ratio makes this a strong fit for a fast-tier model plus the batch API: notes rarely need to exist within seconds of the meeting ending, and batch discounts apply to the whole request.

For MiniMax M3 specifically, that means output tokens cost 4.0x more than input, at $1.20 vs $0.30 per MTok. At this use case’s 8,000/2,000 token split, output accounts for 50% of the $0.004800 per-call cost.

MiniMax M3 quality benchmarks for meeting notes

Benchmark data for meeting notes is pending for MiniMax M3. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for MiniMax M3. We recommend testing against your own evaluation criteria.

About MiniMax M3

Prices from platform.minimax.io/docs/pricing/overview (read 2026-10-11). Long context (>512K tokens) is billed above the listed input and output rates. Cache hit: $0.06/MTok input. No batch discount published. Not yet benchmarked, so never recommended.

Other models from MiniMax

You can compare MiniMax M3 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions