# Using DeepSeek, MiniMax, Kimi & Alternative Models with OpenClaw

Learn how to use DeepSeek, MiniMax, Kimi, and alternative models with OpenClaw to reduce costs, improve routing, and run better workflows.

## OpenClaw Is Not Locked to One Model

OpenClaw can work with multiple AI models, not just the default. Mix providers based on the work you need done.

## Why Use Alternative Models?

- Lower API costs
- Better model routing for different tasks
- Access to strong coding, reasoning, research models
- Reduced dependency on one provider
- More control over speed, quality, budget

## Popular Alternative Models

**DeepSeek** - Coding, reasoning, technical tasks, cost-efficient workflows
**MiniMax** - Long-context, assistant workflows, multimodal
**Kimi** - Long-context reading, research, document analysis
**Other** - Qwen, GLM, Llama, Mistral through compatible APIs

## When to Use Each

| Use Case | Recommended Model |
|----------|-------------------|
| Coding | DeepSeek, Kimi |
| Long documents | Kimi, MiniMax |
| Low-cost automation | DeepSeek |
| Research | Kimi |
| General assistant | MiniMax, DeepSeek |
| Heavy reasoning | DeepSeek, Kimi |

## What to Check Before Connecting

- API key
- Provider endpoint
- Model name
- Token limits
- Tool-calling support
- Pricing
- Rate limits
- Config access

## How to Add a Model

```bash
openclaw models list
openclaw models set-default <provider>/<model-name>
openclaw restart
openclaw run "Summarize this project and suggest next action."
```

## How to Test

Try simple prompts:
- "Explain what tools you can access in this OpenClaw workspace."
- "Read the current task and return a step-by-step plan."
- "Create a short summary and list any missing information."

Check: does it respond? Follow instructions? Call tools? Stay in context? Return structured output?

## Common Problems

| Problem | Cause | Fix |
|---------|-------|-----|
| No output | Wrong name/endpoint | Check settings |
| Empty replies | Token/context | Reduce prompt |
| Tool calls fail | Poor tool support | Use better model |
| Slow response | Latency or context | Smaller model |
| High cost | Wrong model everywhere | Route by task |

## Best Practice: Routing

- Cheap model for summaries
- Strong coding model for code changes
- Long-context model for documents
- Reasoning model for planning
- Premium model for high-risk decisions

## Faster Option: Ampere.sh

Run OpenClaw with managed hosting if you don't want to handle provider config, servers, ports, updates manually.

## Final Recommendation

Start with one model, test on real workflows, add routing once stable. For easiest path, use Ampere.sh.

## FAQ

**Why use alternatives?**
Lower cost, better routing, less dependency.

**Best for coding?**
DeepSeek or Kimi.

**Best for long documents?**
Kimi (large context).

**Run multiple models?**
Yes, model routing or OpenRouter.

**How to add?**
Provider config + restart + test.

**How to test?**
openclaw models list + simple prompt.

**Ampere.sh includes these?**
Yes, pooled API access on Pro plans.

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Try OpenClaw: https://www.ampere.sh/setup
