DeepSeek Harness logo

Run DeepSeek Harness on MiniMax M2.7

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.

RunDeepSeek Harness logoDeepSeek Harnessonin

Connect DeepSeek Harness to MiniMax M2.7

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 M2.7 runs on the routes below. Route only to EU providers when your data has to stay in Europe.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.30$1.20Input price
MultiNo$0.30$1.20$0.06
MultiNo$0.63$2.65Input price
MultiNo$0.30$1.20$0.06

The model

by MiniMax

MiniMax M2.7: self-evolving 229B model with 56.22% SWE-Pro, native multi-agent teams, and 1495 ELO on GDPval-AA (highest open-weight)

Available on

Pricing from$0.30/ 1M input$1.20/ 1M output$0.06/ 1M cache read205Kcontext

Privacy

ZDR
Training
No
Region
Multi, US

Run DeepSeek Harness on other models

Step-by-step setup for running DeepSeek Harness on each of these models through Opper.

More apps on Opper

Run DeepSeek Harness on MiniMax M2.7

One key, 700+ models, a choice of region, and zero data retention. Switch the model behind your app without changing your workflow.

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