Edgee Turbo Models

Really great product. Our team can have a good usecase with the product. Already filled the contact us button. (poko.video email ID). Lets schedule a meet!

So I can create apps with this new Edge Turbo Model?? An also a standard fee 29.99 ? No more token manipulation?

Using Edgee with Kimi K2.7, huge savings comparing to OpenRouter. Keep going guy!

This is exactly the kind of model switching devs pretend they do not need and then use 12 times a day. Love the practical angle.

Are you planning to add more models to the Turbo lineup? Curious specifically about DeepSeek V4 and Qwen 3.5 Coder. Also, will Turbo ever work with Codex or just Claude Code?

The edge angle I always want clarity on: cold-start and state. For these turbo models running at the edge, are you keeping them warm across regions or is there a first-hit penalty when a PoP hasn't served the model recently? And for anything stateful, how do you reconcile across PoPs without round-tripping to a central region — or is the model purely stateless inference?

How do GLM 5.1 and Kimi K2.7 Code actually compare to Sonnet 4.6 on real coding tasks? I've tried open-source coding models a few times over the past year and they always felt one tier below the closed ones. Has that gap really closed?

Being able to run different models through Claude Code is really cool. Can you switch between models mid-session, or is it set per project?

flat $29/month instead of usage-based is the right call for anyone running agents that loop unpredictably. the worst part of token-based pricing is never knowing what the bill will be until it's too late. also being able to swap in open-source models without changing any code or rewriting configs removes the biggest barrier to actually trying them. most people stick with what they know because switching is painful, not because alternatives aren't good enough

Proxying Claude Code's API calls through a gateway to route to Kimi K2.7 or MiniMax without code changes is clean architecture. We've hit throughput ceilings in agentic workflows where task latency compounds fast, so the 4x speed claim is interesting. Does Edgee handle automatic fallback if a model hits rate limits mid-session?

Love the flat rate approach for unpredictable agent loops, excited to test Kimi K2.7 Code with this kind of speed. Huge congrats on shipping this, @sachamorard

Hey Product Hunt 👋Sacha here, co founder of Edgee.Story time. A few weeks ago I was working with Claude Code on a refactor with Opus. The model knew exactly what to do, but I sat there watching a 500-line file crawl out one token at a time. Two minutes for one file. Multiply that by every step of the agent loop and you realize: speed is the silent tax on every coding session.Around the same time I started testing open-source models like GLM and Kimi K2.7. The quality on coding tasks was honestly impressive. But the speed on standard endpoints was even slower than the closed models. And the setup was painful: API keys, code changes, CLAUDE md to rewrite, MCP servers to reconfigure.That's the problem we built Edgee Turbo Models to solve.What it does:→ Run frontier open-source models (GLM 5.1, Kimi K2.7 Code, Kimi K2.6, MiniMax 2.7) directly in Claude Code.→ At up to 4x the speed of standard endpoints (~200 tok/s vs ~50).→ Flat $29/month. No metered token bill that climbs as your agents work harder.→ Setup in 2 minutes. Your CLAUDE md, MCP servers, and entire setup stay exactly where they are.Important point I want to get out front because it'll come up:Turbo is NOT a smaller or quantized version of these models. They are the full open-weight checkpoints. Turbo only changes how they are served, on dedicated high-throughput inference infrastructure built for raw speed, not a shared best-effort endpoint. Same outputs, just faster.How this fits with our previous launches:- Compression: use fewer tokens per request- Teams: see who uses what, per repo, per PR- Fallback Models: keep working when Claude or Copilot hit limits- Turbo Models: run open-source models at premium speed, for flat pricingTogether that is the Route + Compress + Observe stack of our Agent Gateway. Today we're shipping the speed layer.Why now: The Economist published a piece this week confirming that "token-maxxing is over" and that companies are routing to cheaper models. Open-source models are clearly part of the answer. Turbo makes them actually usable.A few questions I'd love your feedback on:→ Which open-source coding model are you most curious to try?→ Is flat $29/month the right price point, or would you prefer usage-based?→ What other models should we add to the Turbo lineup?Will be in comments all day. Thanks for checking it out 🙏