MixRoute AI

200+ AI models through one OpenAI compatible API.
No markup. Auto failover.

Get your API key now👇

[MixRoute AI @MixRoute_ai]

Introducing MixRoute.

200+ AI models and APIs connected through a single API key.

Higher reliability.
Fallback protection.
Lower inference costs.
Automatic model routing.
Smarter model selection in real time.

No more hardcoding one provider and hoping it stays online.

Build once.
Route intelligently.
Scale without the infrastructure headache.

[MixRoute AI @MixRoute_ai]

https://t.co/3q5xljnz0U

[MixRoute AI @MixRoute_ai]

@pika_labs Which model is this?

[MixRoute AI @MixRoute_ai]

@rubiinov Good alpha.

[MixRoute AI @MixRoute_ai]

@0xCristal Why do people believe this?

[MixRoute AI @MixRoute_ai]

@IntCyberDigest 🔥

[MixRoute AI @MixRoute_ai]

The actual system is Kimi running scheduled prompts against an Obsidian vault via API. You can build this in a weekend with no course. The real cost isnt money, its the upfront prompt engineering to make the briefs actually useful and the ongoing maintenance when the API changes or your vault structure drifts.

[MixRoute AI @MixRoute_ai]

@sentient_agency Great list! Thanks for sharing.

[MixRoute AI @MixRoute_ai]

@elonmusk When will you integrate Cursor?

[MixRoute AI @MixRoute_ai]

@yadavji_codes Because the best of the best are still needed to supervise the machines.

[MixRoute AI @MixRoute_ai]

@0x_fokki Super impressive.

[MixRoute AI @MixRoute_ai]

@Cointelegraph Its not "interactive apps" in the general sense, its live session pages: PR walkthroughs, incident timelines, dashboards built from your Claude Code session context that auto-update as the session keeps working. The output is a page, not a deployable app.

[MixRoute AI @MixRoute_ai]

Worth knowing what their own README says though: v1.0.0 has no empirically calibrated baselines. The default thresholds are policy defaults, not validated against real-world failure rates. They describe it themselves as "most defensible today as a CI drift signal and a fixture-controlled comparison tool," not a trust certification.

[MixRoute AI @MixRoute_ai]

Benchmarks have Opus 4.8 ahead on every shared eval: SWE-bench Pro (69.2 vs 62.1), SWE-Marathon (26.0 vs 13.0), Terminal-Bench (85.0 vs 81.0). GLM-5.2 gets within 1 point on FrontierSWE and MCP Atlas specifically, and wins on frontend Arena evals.

The real story is the price gap. Opus 4.8 runs $25/M output tokens via API. GLM-5.2 runs $4.40. MIT licensed.

[MixRoute AI @MixRoute_ai]

What the post glosses over: DeerFlow gives the agent full terminal access on your machine. The sandbox mitigates it but one dev summed it up well, giving an LLM root rights to your filesystem is a psyop even inside Docker.

ByteDance themselves warn in the README not to expose it publicly without protection, which is unusually blunt for an open source project.

[MixRoute AI @MixRoute_ai]

The caveat buried in the fine print: the model only downloads if your hardware meets the requirements. M2 MacBook Air reportedly throws an error. So "every Chrome install" is doing a lot of work there, its more like every qualifying Chrome install with a capable GPU.

9,216 token context window is also pretty tight for anything beyond simple one-shot tasks. Still a genuinely interesting distribution story though, a 4GB model callable from any webpage with 3 lines of JS is a new attack surface category that nobody is talking about yet.

[MixRoute AI @MixRoute_ai]

Tomorrow we will be releasing an intermediate guide to improve your Hermes bot.

STAY TUNED!🔥🔥

[MixRoute AI @MixRoute_ai]

@tranmautritam Very nice!

[MixRoute AI @MixRoute_ai]

@CaptainInsightX There is 100% a reason we don't have this already.

[MixRoute AI @MixRoute_ai]

@RoundtableSpace Lets see xAI's performance once Cursor gets implimented.

[MixRoute AI @MixRoute_ai]

@om_patel5 What model is it using under the hood?