FastRouter

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.

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…

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…

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. 🙏

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…

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.

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…

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…

Every AI product starts the same way. One provider's SDK, one model, one clean API call. It works, and for a while it even feels predictable. Then a modality gets added. Then another provider. Spend splits across dashboards that don't add up to an answer finance can use. Adding a gateway fixes the visibility problem. It does not automatically fix the cost problem. A dashboard can show you what happened without ever telling you what to change next. That's the gap FastRouter Insights is built to close. Your traffic already knows where the savings are. Insights just has to be watching. Learn more: fastrouter.ai/features/insig…

Most teams paying for LLM API calls resend the same system prompt, tool schema, or RAG payload on nearly every request, and pay the full input token price each time. FastRouter's Insights engine catches this automatically. It's a free, read-only weekly scan of your own traffic that finds repeated prompt prefixes, models what you'd save with caching turned on (cache reads run up to 90% cheaper), and shows you the exact key and model to fix. No model swap. No output change. No config change until you decide to act. Just evidence from your own usage, pointing at your own bill. Read how the detection and savings math actually works → lnkd.in/dy7C_MSp

One model, one pass, one confident-sounding response, and no way to know if it's actually right or just fluent. For anything ambiguous or high stakes, that's a bad way to make a decision. FastRouter Blend runs the same question through a panel of models and has a judge compare the results: agreements, disagreements, what got missed, where the confidence looks shaky. You get a second opinion before you act, not after something breaks. Link: lnkd.in/d9tuwpJQ