How to Configure OpenClaw with MiniMax M2.7 for Cost-Effective AI Assistance
Purpose
I wanted a powerful, privacy-focused AI assistant at a fraction of Claude’s cost. Configuring OpenClaw with MiniMax M2.7 via OpenRouter turned out to be the answer—a $10 plan provides equivalent smartness for workflows like voice note processing, document organization, and daily AI assistance through Telegram integration.
Environment
- Node.js 22.x or higher
- OpenRouter account with API key
- MiniMax M2.7 model access via OpenRouter
- Obsidian vault for note synchronization
- Syncthing for cross-device sync
What Is OpenClaw?
OpenClaw is a desktop AI assistant that supports multiple channels (Telegram, Discord, WhatsApp, Slack) and integrates with various AI models through providers like OpenRouter.
Key features for my workflow:
- Channel integration: Send voice notes via Telegram, get AI-processed responses
- File processing: Organize markdown files in Obsidian vaults
- Multi-model support: Use different AI models through unified configuration
The Configuration
Here’s how I set up OpenClaw with MiniMax M2.7.
Step 1: Install OpenClaw
# Recommended: npm global installationnpm install -g openclaw@latest
# Alternative: pnpm (faster)pnpm add -g openclaw@latest
# Verify installationopenclaw --versionStep 2: Run Initial Setup
# Start onboarding wizardopenclaw onboard --install-daemon
# Launch gateway serviceopenclaw gatewayStep 3: Configure MiniMax via OpenRouter
Edit ~/.openclaw/config.json or use the onboarding wizard:
{ "models": { "mode": "merge", "providers": { "openrouter": { "baseUrl": "https://openrouter.ai/api/v1", "apiKey": "sk-or-v1-YOUR_OPENROUTER_API_KEY", "api": "openai-compat", "models": [ { "id": "minimax/minimax-2-7", "name": "MiniMax M2.7", "contextWindow": 65536, "cost": { "input": 0.30, "output": 1.20, "cacheRead": 0.03 } } ] } } }, "agents": { "defaults": { "model": { "primary": "openrouter/minimax/minimax-2-7" } } }}Step 4: Set Model as Default
openclaw models set openrouter/minimax/minimax-2-7Step 5: Complete Configuration Example
{ "meta": { "lastTouchedVersion": "2026.3.23-1" }, "models": { "mode": "merge", "providers": { "openrouter": { "baseUrl": "https://openrouter.ai/api/v1", "apiKey": "sk-or-v1-xxxxxxxxxxxxx", "api": "openai-compat", "models": [ { "id": "minimax/minimax-2-7", "name": "MiniMax M2.7", "api": "openai-compat", "input": ["text"], "cost": { "input": 0.30, "output": 1.20, "cacheRead": 0.03, "cacheWrite": 0.03 }, "contextWindow": 65536, "maxTokens": 32000 } ] } } }, "agents": { "defaults": { "model": { "primary": "openrouter/minimax/minimax-2-7" }, "models": { "openrouter/minimax/minimax-2-7": { "alias": "M2.7" } }, "maxConcurrent": 4 } }}Step 6: Configure Telegram Channel
# Open dashboard for visual configurationopenclaw dashboardIn the dashboard, configure your Telegram bot token and chat ID for voice-first workflows.
Step 7: Enable File Sync (Optional)
Configure Syncthing to sync Obsidian vaults between devices:
# Typical Syncthing folder configuration~/Documents/Obsidian/Vault/ -> synced to -> ~/Notebook/Obsidian/How It Works
My typical workflow:
- Send voice notes to Telegram bot
- OpenClaw processes with MiniMax M2.7
- AI cleans up and organizes content
- Results saved as markdown files
- Syncthing syncs to all my devices
A Reddit user reported: “I run a $10 plan that changes my workflow to the point where I am actually using Minimax 2.7 as Claude Cowork for a fraction of the cost.”
Cost Comparison
| Model | Input $/M | Output $/M | Cache Read | Context |
|---|---|---|---|---|
| MiniMax M2.7 | $0.30 | $1.20 | $0.03 | 65K |
| Claude Opus 4.5 | $15.00 | $75.00 | $1.50 | 200K |
| Claude Sonnet 4 | $3.00 | $15.00 | $0.30 | 200K |
| GPT-4o | $2.50 | $10.00 | $1.25 | 128K |
Monthly Estimate (10M input tokens):
- MiniMax M2.7: ~$3-10 (with caching)
- Claude Sonnet 4: ~$30-60
- Claude Opus 4.5: ~$150-300
Common Mistakes
Mistake 1: Wrong API Endpoint
- Use
https://openrouter.ai/api/v1(not/anthropic)
Mistake 2: Missing Context Window
- Set
contextWindow: 65536for M2.7’s 65K token limit
Mistake 3: Incorrect Model ID
- Use
minimax/minimax-2-7format for OpenRouter routing
Mistake 4: Ignoring Cache Settings
- Enable cache for 90% cost reduction on repeated queries
Mistake 5: Skipping Channel Setup
- Configure Telegram/Discord before testing workflows
Why This Matters
Cost Reduction: MiniMax M2.7 costs ~$0.30/M input tokens vs Claude’s $3/M (10x savings)
Performance Parity: M2.7 matches GPT-5 and Opus 4.6 on coding benchmarks:
- SWE-Pro benchmark: 56.22% correctness (matches GPT-5.3-Codex)
- VIBE-Pro repo-level code generation: 55.6% (nearly matches Opus 4.6)
Privacy Control: All processing runs locally on your infrastructure
Workflow Integration: Native support for Telegram, Discord, WhatsApp, Slack
Summary
In this post, I showed how to configure OpenClaw with MiniMax M2.7 for cost-effective AI assistance. The key point is that this setup delivers Claude-level intelligence at 10-50x lower cost through OpenRouter’s unified API and OpenClaw’s channel integrations.
Next Steps:
- Create an OpenRouter account and generate an API key
- Install OpenClaw via npm
- Configure MiniMax M2.7 as your default model
- Set up Telegram channel for voice-first workflows
- Enable Syncthing for cross-device file synchronization
- Start using your cost-effective Claude alternative
Final Words + More Resources
My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me
Here are also the most important links from this article along with some further resources that will help you in this scope:
- 👨💻 MiniMax Platform Documentation
- 👨💻 OpenRouter API
- 👨💻 Reddit Discussion: OpenClaw on Minimax 2.7
Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!
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