MiniMax: MiniMax M2.5

Coming soonQuick Start

MiniMax M2.5 is MiniMax's productivity-focused large language model, released 2026-02, built for real-world digital office work. It extends the coding strengths of M2.1 into general office tasks, generating and operating Word, Excel, and PowerPoint files while switching between software environments. The model scores 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, with improved token efficiency over previous generations.

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
$0.27 / $0.95
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.

GPQA Diamond
Science QA
84.7
#28
τ-bench (airline)
Agentic tool use
63.8
#62

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-m2.5",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire MiniMax M2.5 into your product

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

Start free