MiniMax: MiniMax M2.7

Coming soonQuick Start

MiniMax M2.7 is MiniMax's agentic large language model, released 2026-03, built for autonomous real-world workflows. It uses multi-agent collaboration to plan, execute, and refine complex tasks, with a focus on live debugging, root cause analysis, and document generation. The model scores 56.2% on SWE-Pro and 57.0% on Terminal Bench 2.

This model is not routed on MirAPI yet — prices shown are the official list prices. Create an account to get notified when it goes live.

Modalities
inTextoutText
Price / 1M
$0.30 / $1.20
Context
205K
Knowledge cutoff

Capabilities

ReasoningTool useLong contextPrompt cachingStructured output

Benchmarks

bar = score (0–100) · ▏ median

Scores from vendor reports and public leaderboards. No private evals.

Intelligence Index
General ability
38.9
#38
Coding Index
Code
52.6
#38
Agentic Index
Agentic
25.9
#41
GPQA Diamond
Science QA
84.3
#30
τ-bench (airline)
Agentic tool use
71.2
#46

Showcase

Three fixed prompts, identical for every chat model. Outputs are archived verbatim — copy the prompt to reproduce.

Task prompt · identical for all models
Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.
Archived output
Archive not published yet

Every model will run this exact prompt; the output lands here verbatim, with tokens and per-run cost.

Quick Start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="minimax/minimax-m2.7",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire MiniMax M2.7 into your product

1M free tokens to start · no card · OpenAI-compatible, one base_url change

Start free