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Browser Use vs Grok Code Fast 1

Bottom line

Browser Use is open source and Grok Code Fast 1 is not. You can run Browser Use on your own machine or server; Grok Code Fast 1 is hosted by the vendor.

Which one should you try?

Browser Use

Freemium

Best for Data extraction teams monitoring 50+ competitor sites daily for pricing, availability, or content changes.

Visit Browser Use See full review

Grok Code Fast 1

Freemium

Best for <cite index="1-4">Agentic coding workflows requiring fast loops of reasoning and tool calls</cite>

Visit Grok Code Fast 1 See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Browser Use

Browser Use

Browser Use is an open-source Python library for autonomous web task automation using LLMs and computer vision. Teams use it to extract competitive data, fill forms at scale, and monitor page changes across hundreds of sites. The tool hits 89.1% success on standard benchmarks and comes with stealth browser support, CAPTCHA solving, and residential proxies across 195+ countries. The vendor also runs a cloud infrastructure option alongside the self-hosted library. Most production teams pair it with managed browser infrastructure and human approval gates for financial or sensitive actions. The sharp edge: LLMs can't reliably distinguish user instructions from webpage content, leaving agents vulnerable to indirect prompt injection attacks that succeed 24% of the time without defenses.

Grok Code Fast 1

Grok Code Fast 1

<cite index="2-1">Released in late August 2025, the xAI Grok Code Fast 1 model is a coding-focused AI model that excels at common, high-volume coding task and is designed especially for agentic coding workflows.</cite> <cite index="1-6,1-7,1-8">Built from scratch with a brand-new model architecture, it was trained on a pre-training corpus rich with programming-related content, and curated high-quality datasets that reflect real-world pull requests and coding tasks.</cite> <cite index="1-23">The model is particularly adept at TypeScript, Python, Java, Rust, C++, and Go.</cite> <cite index="1-13">The model is generally available via the xAI API, priced at $0.20 / 1M input tokens, $1.50 / 1M output tokens, and $0.02 / 1M cached input tokens.</cite>

AttributeBrowser UseGrok Code Fast 1
PricingFreemiumFreemium
Price$29/mo$30/month
Pricing checkedJun 11, 2026Jun 11, 2026
Free trialNot stated0 days
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesNo
PlatformsLinux, macOS, Windows (Python 3.11+)<cite index="30-1">Available through xAI API and integrated with launch partners including GitHub Copilot, Cursor, Cline, Roo Code, Kilo Code, opencode, and Windsurf</cite>
LanguagesPython (primary); CLI available<cite index="1-23">TypeScript, Python, Java, Rust, C++, and Go</cite>
Released—2025-08-28
Pros
  • 89.1% success rate on WebVoyager benchmark—production-ready for data extraction and form automation without constant human intervention.
  • Open-source Python library with active maintenance and three parallel deployment paths: local, cloud-managed, or your own infrastructure.
  • Stealth browser mode with CAPTCHA solving and rotating residential IPs across 195+ countries built in—reduces immediate block rates.
  • Vision-based interactions instead of brittle DOM selectors—survives site layout changes that would break traditional automation.
  • No vendor lock-in on agent logic—your prompts and task definitions stay portable across models and LLM providers.
  • <cite index="2-25,2-26">Massive throughput of approximately 90-100 tokens per second, delivering dozens of tool calls and edits before you finish reading its initial plan in IDE integrations</cite>
  • <cite index="1-13">Economical pricing at $0.20/1M input tokens and $1.50/1M output tokens</cite>
  • <cite index="2-27,2-28,2-29">Visible reasoning traces that provide real-time, summarized view of its reasoning process, helping developers catch logic errors early</cite>
  • <cite index="1-22">Prompt caching optimizations regularly achieving cache hit rates above 90% when used with launch partners</cite>
Cons
  • LLMs can't reliably block prompt injection from webpage content—24% of unmitigated agents fall for attacks, requiring sandboxing and human checkpoints for sensitive actions.
  • Success rate still 10 percentage points below 100%—silent failures in production require comprehensive logging and regular monitoring to catch.
  • Each task navigation burns tokens proportional to page complexity—costs scale with site variation and multi-step workflows, especially for READ-heavy scraping.
  • Deployment to production infrastructure requires choosing between managed cloud hosting or maintaining your own Browserbase/Kubernetes setup—no middle ground.
  • Task reliability varies by site—JavaScript-heavy e-commerce and CAPTCHA-protected pages have different success profiles; benchmarks don't predict your specific URLs.
  • <cite index="6-31,6-34">Potential gaps in training on specific frameworks; poor performance on Tailwind CSS v3 tasks, suggesting possible smaller model size limitations</cite>
  • <cite index="6-36">Its reasoning model nature makes it unsuitable for interactive workflows requiring fast responses despite fast token throughput</cite>

Made up your mind?

Browser Use

Freemium

Best for Data extraction teams monitoring 50+ competitor sites daily for pricing, availability, or content changes.

Visit Browser Use See full review

Grok Code Fast 1

Freemium

Best for <cite index="1-4">Agentic coding workflows requiring fast loops of reasoning and tool calls</cite>

Visit Grok Code Fast 1 See full review

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