Run DeepSeek Harness on MiniMax-M1-80k

by DeepSeekCoding agent

DeepSeek Harness (dsh) is DeepSeek's open-source agent harness, released under MIT and built so that everything is a plugin, from the model adapter and the tool registry to the agent loop itself. Start it with npx @deepseek-ai/dsh web and it opens a local web UI where the agent reads and edits your workspace, runs commands, and keeps a plan, with a headless profile for one-shot jobs from the terminal. On Opper it runs on any of 700+ models rather than DeepSeek's own alone: add Opper as a custom provider and you get one key, automatic fallbacks, and a choice of region.

Run

DeepSeek Harnessonin

Connect DeepSeek Harness to MiniMax-M1-80k

Set up with agents

Paste this into your coding agent (Claude Code, Cursor, Codex, and more) and it will set up and build with Opper for you.

Get your API key

Where you can run it

MiniMax-M1-80k runs on the routes below. Route only to EU providers when your data has to stay in Europe.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Novita	US		No	$0.55	$2.20	Input price

The model

MiniMax M1: open-weight hybrid-attention reasoning model with 1M context, 456B parameters, and an 80K-token thinking budget

Available on

Pricing from$0.55/ 1M input$2.20/ 1M output1Mcontext

Privacy

ZDR
Training: No
Region: US

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