FastRouter (@FastRouterAI) header
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FastRouter⚡️ is a lightning-fast gateway to top LLMs. Connect to GPT-4, Grok 4, Claude & more with just one API. Signup and get free tokens to build your AI App

Joined July 2025
You don't always want a panel of models weighing in. Sometimes one model is enough, and sometimes the question is hard enough that it isn't. FastRouter Blend can run every time, as a model you call directly, or it can sit as a tool an agent reaches for only when it decides the question actually warrants a second opinion. Same underlying panel and judge, different amount of ceremony. Most questions don't need five models. The ones that do are exactly where this pays for itself.
🤖 Made with AI
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Still asking a chat model to answer "ONLY YES OR NO" and parsing the result? It works until a model update changes the phrasing. Then tickets quietly misroute, and nothing crashes to tell you. TypeSafe Jev on FastRouter returns typed answers with probabilities instead of text. Yes/no, choice-and-score questions, several decisions in one call, no parsing. The post covers the failure modes, thresholds with an abstain path, and a checklist for replacing one parsed decision today. Read more:fastrouter.ai/blog/posts/sto…
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Two of the three ways FastRouter Insights finds savings cost nothing to generate. The third one costs something on purpose. Model Switch replays your real requests against alternative models and scores both outputs with an LLM judge before it ever recommends a change. That's real inference, so it's opt-in, not on by default like the other two. The tradeoff is worth it. You're not guessing whether a cheaper model holds up on your traffic; you're looking at evidence from your own requests before you touch anything in production.
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LLM gateway pricing looks simple at evaluation time and gets re-litigated by finance six months later. There are four pricing models hiding behind that one pitch, and only one of them doesn’t compound as you grow. Here’s the math to run before you sign anything. Read more in our newest article: fastrouter.ai/blog/posts/llm…
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We finished #2 Product of the Day on Product Hunt 🏆 Huge thanks to everyone who upvoted, commented, shared our launch, asked sharp questions, and tried FastRouter; you made this day what it was. We read every comment, and we're grateful for each one. To our team: thank you for the long hours and the care you put into this launch. This is only the beginning. We have some very good features coming, and we'll be back with another launch soon. Stay tuned. producthunt.com/products/fas…
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We're live on Product Hunt today 🚀 This one means a lot to the whole team. If FastRouter has helped you, an upvote or a comment on the launch page goes a long way, and we'd love to hear your feedback. 👉producthunt.com/products/fas… Thank you for being part of this. 🙏
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Running Cursor, Cline, and Claude Code every day? Your AI spend is probably growing for reasons none of your dashboards explain. Coding agents are spend amplifiers by design. A single request turns into dozens of tool calls, and independent benchmarking shows the cost gap between tools is real in both directions: Claude Code uses roughly 5.5x fewer tokens on complex, multi-file work, while Cursor delivers better accuracy-per-dollar on simple, single-file tasks. We broke down why standardizing on one tool means overpaying on the other half of your traffic, and how routing by task shape, plus full cost visibility across all three tools, actually closes the gap. Read it here: fastrouter.ai/blog/posts/you…
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Something big is coming from FastRouter. We've been building this for weeks, and it's almost ready to share. Stay tuned, more very soon.
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Your multi-provider router is probably taking a cut of every token you send it. At $30K/month in AI spend, a "small" 5% markup = $1,500+/month for doing nothing but sitting in the middle. Here's the actual cheapest way to access GPT-6, Claude & Gemini through one API. fastrouter.ai/blog/posts/che…
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Most teams ship an LLM feature, watch it work in a demo, then fly blind on cost and quality once it hits production. Join us October 1 for a live masterclass on using continuous evaluation to fix that, a practical 7 day playbook, not just theory. Ritesh Prasad walks you through logging, custom evals, and fast evals on a real production use case, plus how teams have cut AI costs by up to 87 percent by catching the right model swap. 8:00 AM PT / 11:00 AM ET / 8:30 PM IST. 60 minutes, live demo, and Q&A. Save your spot: fastrouter.ai/webinar-stop-p…
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