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    High-quality LLM inference.
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    Original lab quality.

    Many open-source LLM providers degrade model intelligence to cut costs... Leading to up to a 10-percentage-point drop in intelligence on benchmarks likeAider . That's equivalent to regressing Claude by two generations.

    We run the original model weights exactly as the open-source labs intended:

    Original formats: FP8, or whatever the creators chose.
    Recommended settings: carefully tuned following official documentation.
    No additional quantization: models run at their intended precision.

    Verifiable.

    We builtSynbad, an open-source evaluation suite sourced from critical bugs encountered by coding agents like Claude Code, Crush, OpenCode, and more.

    Synthetic

    100%

    Pass rate across tested models.

    Other providers

    As low as 66%

    Pass rates on the same tests.

    These bugs aren't theoretical: they're sourced from real bugs coding agent users encountered in our 500+ person Discord. Coding agents work better on Synthetic.

    See detailed results

    Simple monthly plans.

    Choose a subscription that fits your needs. No hidden fees, no per-token surprises for always-on models.

    Standard

    $20/month

    Perfect for individuals just starting out.

    ✓Access to all always-on models
    ✓Both UI and API access
    ✓Cancel anytime
    ✓Standard rate limits: 135 requests every five hours
    ✓3x higher rate limits than Claude's $20/month plan

    Pro

    $60/month

    For professionals and avid LLM users.

    ✓Access to all always-on models
    ✓Both UI and API access
    ✓Cancel anytime
    ✓10x higher rate limits: 1,350 requests every five hours
    ✓6x higher rate limits than Claude's $100/month plan
    ✓50% higher rate limits than Claude's $200/month plan

    See full pricing details →

    Private and secure.

    We run our models in private, secure datacenters. We never train on your data — and we never store API prompts or completions.

    Read our GDPR-compliant privacy policy →

    Trusted by researchers and engineers from:

    Meta
    Microsoft
    Google
    Nvidia
    Hugging Face
    Notion
    Netflix
    Uber
    Apple
    Qualcomm
    Airbnb
    Reddit
    Ready for reliable inference?

    Join developers who depend on LLM inference that works.

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