Grok API Pricing in 2026: Every Rate, Checked Against xAI's Docs
Grok API pricing starts at $1.00 per million input tokens and runs to $6.00 output on the flagship. Live rates from xAI's docs, plus how they compare.
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Grok API pricing starts at $1.00 per million input tokens and runs to $6.00 output on the flagship. Live rates from xAI's docs, plus how they compare.
What an MCP gateway is, how it differs from an LLM gateway and an API gateway, what it does in practice, and how to evaluate the options.
Retool pricing starts at $10/builder/month, but the median buyer pays $65,500/year. See the full tier breakdown and the self-host change.
Manus AI's credit system confuses buyers and fills Reddit threads with complaints. Here's the real per-task credit math, tier by tier, sourced from the docs.
Replit lists Core at $20/mo and Pro at $100/mo, but Agent runs on effort-based billing. Here is what drives the real bill, with sourced numbers.
Make.com pricing runs Free to $38/month on credits, not seats. What a credit costs, how it compares to Zapier and n8n, and what trips buyers up.
Cursor pricing in 2026: Hobby free, Pro $20, Pro+ $60, Ultra $200, Teams from $40/seat. What the June 2025 credit change actually did to bills.
Claude Code pricing runs $20 Pro, $100 Max 5x, $200 Max 20x, plus per-seat Team plans. What each tier includes, and when API billing is cheaper.
HubSpot's own MCP server connects AI tools to HubSpot data. Here's what it covers, what it doesn't, and when a unified layer is the better fit.
Workato doesn't publish pricing. Real buyer data puts the median annual spend at $64,544, structured around task consumption. Here's what drives the number.
Windsurf pricing in 2026: windsurf.com/pricing now redirects to Devin. Free, Pro $20, Max $200, Teams from $80. What changed and what you pay.
What enterprise MCP deployment actually requires: centralized auth, access governance, and audit trails, not just connecting a server to a client.
A buyer's framework for evaluating MCP servers: maintenance, access scope, and unified context vs. stitching together individual community servers.
Your AI starts from zero every session. OM2 is the organizational memory that learns continuously across your tools, so it stops re-reading and starts thinking.
Coworker AI explains context engineering: the discipline of deciding what goes into a model's window, why less beats more, and how to measure it.
Coworker AI covers MCP security: prompt injection through tools, the confused deputy problem, token handling, and which controls actually work.
Coworker AI shows how to connect MCP servers to Claude Code, the Claude apps, and the API, with the commands, scopes, and the security caveats.
Coworker AI explains MCP vs API: MCP is a standard layer built on top of APIs, what it removes, what it costs, and when a direct call is still better.
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