Top picks for Browser Automation (2026)
Models that drive headless browsers reliably. Ranked from 337 live models on the OpenRouter catalog, weighted for tool calling, vision input, reasoning quality.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Anthropic: Claude Sonnet 4.6anthropic/claude-sonnet-4.6 | 183 | $3.00 | $15.00 | 1,000,000 | Details → |
| 2 | Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | 181 | $5.00 | $25.00 | 1,000,000 | Details → |
| 3 | OpenAI: GPT-5openai/gpt-5 | 180 | $1.25 | $10.00 | 400,000 | Details → |
| 4 | Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8 | 176 | $5.00 | $25.00 | 1,000,000 | Details → |
| 5 | OpenAI: o3openai/o3 | 171 | $2.00 | $8.00 | 200,000 | Details → |
| 6 | OpenAI: GPT-4.1openai/gpt-4.1 | 150 | $2.00 | $8.00 | 1,047,576 | Details → |
| 7 | Google: Gemini 2.5 Progoogle/gemini-2.5-pro | 141 | $1.25 | $10.00 | 1,048,576 | Details → |
| 8 | OpenAI: o4 Mini Highopenai/o4-mini-high | 140 | $1.10 | $4.40 | 200,000 | Details → |
| 9 | Google: Gemini 2.5 Flashgoogle/gemini-2.5-flash | 137 | $0.30 | $2.50 | 1,048,576 | Details → |
| 10 | Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 135 | $3.00 | $15.00 | 1,000,000 | Details → |
| 11 | OpenAI: o3 Proopenai/o3-pro | 134 | $20.00 | $80.00 | 200,000 | Details → |
| 12 | Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 133 | $0.15 | $0.60 | 1,048,576 | Details → |
| 13 | DeepSeek: DeepSeek V3deepseek/deepseek-chat | 132 | $0.20 | $0.80 | 131,072 | Details → |
| 14 | Qwen: Qwen3.7 Plusqwen/qwen3.7-plus | 130 | $0.40 | $1.60 | 1,000,000 | Details → |
| 15 | MiniMax: MiniMax M3minimax/minimax-m3 | 130 | $0.30 | $1.20 | 1,048,576 | Details → |
Affiliate link. PicksByModel may earn a commission at no extra cost to you.
How we ranked these
For Browser Automation, we weight models on tool calling, vision input, reasoning quality. Scores combine each model's public specs with independent benchmark results (Aider Polyglot coding scores, Artificial Analysis intelligence/coding/agentic indices) and live pricing. See full methodology →
About Browser Automation
Browser automation is the task of programmatically controlling headless browsers to navigate websites, extract data, fill forms, and interact with dynamic content. You need this when manual scraping fails, when you're testing web applications at scale, or when you need to handle JavaScript-heavy sites that APIs can't reach. Good models at this task maintain reliable session state, recover gracefully from navigation failures, and accurately interpret visual layouts without hallucinating button positions. Poor performers lose context mid-session, misclick elements, or timeout on slow pages. Cost scales with session length: each step through a page can consume 5-50K tokens depending on visual complexity, so batch similar tasks and reuse sessions when possible.
When to use: Use this when you need to interact with websites programmatically but the site doesn't have an API, or when you need to test a web app's user-facing behavior at scale without manual clicking.
Common questions
What is the difference between browser automation and web scraping?
Web scraping extracts static HTML or data from a page, while browser automation controls a live browser to click buttons, fill forms, and trigger JavaScript interactions. Browser automation is harder and slower but necessary for sites that load content dynamically or require user-like interactions. Models like Claude with vision can handle both, but automation requires understanding spatial layout and state changes across multiple steps.
How much does it cost to automate a complex multi-step workflow like booking a flight?
A typical 5-10 step workflow (search, filter, select, enter details, confirm) costs $0.50-$3.00 in tokens depending on page complexity and model choice. Claude 3.5 Sonnet is cost-efficient for this because it handles visual reasoning in one pass, whereas smaller models may need multiple re-reads of the same screenshot, doubling your bill.