Which AI Model Should You Use for OpenClaw Browser Automation?

Mar 26, 2026

Problem

When I set up OpenClaw for browser automation, I faced a confusing question: which AI model should I use? The wrong choice means:

Overspending on expensive models for simple tasks
Poor performance with cheap models for complex workflows
Latency issues making browser control feel sluggish

I looked at the options: MiniMax M2.7 ($10/month), GPT-5.4 ($20+/month), Claude, and Gemini. Each claims to be the best. But which one actually works for OpenClaw?

Environment

OpenClaw (latest version)
Multiple AI model subscriptions tested
Browser automation tasks: form filling, scraping, monitoring

What Happened?

I tested each model with real OpenClaw tasks. Here’s what I found:

MiniMax M2.7

llm:
  provider: "minimax"
  api_key: "${MINIMAX_API_KEY}"
  model: "minimax-m2.7"

MiniMax M2.7 costs $10/month flat rate. It processes 100 tokens per second. For most OpenClaw tasks, this speed is critical - browser interactions need quick responses.

GPT-5.4

llm:
  provider: "openai"
  api_key: "${OPENAI_API_KEY}"
  model: "gpt-5.4"

GPT-5.4 has a 1M token context window and native computer control. It excels at complex reasoning. But it costs more and runs slower.

Claude and Gemini

# Claude option
llm:
  provider: "anthropic"
  api_key: "${ANTHROPIC_API_KEY}"
  model: "claude-sonnet-4.5"

# Gemini option
llm:
  provider: "google"
  api_key: "${GOOGLE_API_KEY}"
  model: "gemini-3.0-flash"

Claude works well for nuanced understanding. Gemini Flash is the fastest (150+ tokens/second) and has a free tier.

How to Choose?

I made this decision tree to help:

Task Type?
├── Simple, High Volume (forms, scraping, monitoring)
│   └── Use: Gemini 3.0 Flash (fastest, free tier available)
│
├── Medium Complexity (workflows, integrations)
│   └── Use: MiniMax M2.7 (best value, 100 tok/s)
│
└── Complex Reasoning (multi-step orchestration)
    └── Use: GPT-5.4 (maximum capability)

The Comparison

Here’s how they stack up for browser automation:

Quality	MiniMax M2.7	GPT-5.4	Claude	Gemini Flash
Speed (tokens/s)	100	~50	~60	150+
Cost/Month	$10	$20+	$20+	Free tier
Simple Tasks	Excellent	Overkill	Overkill	Excellent
Complex Tasks	Very Good	Excellent	Excellent	Good
Context Window	128K	1M	200K	1M

My Recommendation

For most OpenClaw users, MiniMax M2.7 is the best choice. Here’s why:

Cost: $10/month flat rate vs pay-per-use
Speed: 100 tokens/second means responsive browser control
Intelligence: Near-frontier performance (comparable to Claude Opus 4.6)
Agent-Native: Built specifically for agent workloads

I use GPT-5.4 only when I need:

Complex multi-step reasoning
1M token context window
Native computer operations

Multi-Model Strategy

OpenClaw supports hot-swapping models. I set up this configuration:

# Default model for most tasks
llm:
  provider: "minimax"
  api_key: "${MINIMAX_API_KEY}"
  model: "minimax-m2.7"

# Task-specific model overrides
profiles:
  simple_tasks:
    provider: "google"
    model: "gemini-3.0-flash"

  complex_reasoning:
    provider: "openai"
    model: "gpt-5.4"

  nuanced_analysis:
    provider: "anthropic"
    model: "claude-sonnet-4.5"

I can also switch models on the fly:

# Switch to GPT-5.4 for current session
openclaw /model openai:gpt-5.4

# Switch back to MiniMax
openclaw /model minimax:minimax-m2.7

Common Mistakes

I made these mistakes. Learn from them:

Mistake 1: Using API Pay-Per-Use for High Volume Browser automation generates many requests. Pay-per-use costs balloon quickly. I switched to MiniMax’s token plan.

Mistake 2: Over-Provisioning for Simple Tasks Using GPT-5.4 for basic form filling wastes money. I match model complexity to task complexity now.

Mistake 3: Ignoring Latency Slow models create laggy browser interactions. MiniMax and Gemini Flash prioritize speed.

Mistake 4: Single Model Strategy No single model optimizes all use cases. I use OpenClaw’s hot-swap to switch models per task.

Summary

In this post, I showed how to choose the best AI model for OpenClaw browser automation. The key point is MiniMax M2.7 offers the best balance of cost ($10/month), speed (100 tokens/second), and intelligence for most users. Start with MiniMax, then upgrade to GPT-5.4 only when your tasks demand frontier-level reasoning.

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 M2.7 Official
👨‍💻 OpenClaw Documentation
👨‍💻 Reddit Discussion: Best AI for Browser Automation

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!