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    Cut your AI agent costs by up to 70%

    ZeroGPU Agent intercepts every query from your AI agent and routes it to the most cost-effective Nano Language Model that can handle it — running on the distributed ZeroGPU edge network.

    Your agent sends every request to the same model

    Most autonomous agents route everything to one frontier LLM, regardless of complexity. You end up paying premium prices for tiny tasks like classification, intent detection, and tool selection — workloads a Nano Language Model can handle in milliseconds for a fraction of the cost.

    Single model routing

    • Frontier model for every request
    • Pays premium for trivial tasks
    • Single point of failure
    • No spend visibility per task

    ZeroGPU Agent routing

    • Right-sized model per request
    • NLMs handle the majority of traffic
    • Multi-tier fallback per request
    • Per-message cost tracking

    Four complexity tiers, one routing layer

    Every prompt is scored locally in under 2ms and matched to the cheapest model that can handle it.

    Tier 1

    Simple

    Classification, routing, intent detection

    Nano (sub-1B)

    Tier 2

    Standard

    Summarization, extraction, moderation

    Nano / Small

    Tier 3

    Complex

    Multi-step reasoning, tool calling

    Mid-tier LLM

    Tier 4

    Reasoning

    Deep reasoning, planning, code

    Frontier LLM

    Built for production agents

    Smart query routing

    Every prompt is classified locally in milliseconds and routed to the most cost-effective Nano Language Model that can handle it — no manual model picking.

    Multi-tier model fallback

    Configure fallbacks across NLMs and full LLMs. If a tier is rate-limited or unavailable, the agent automatically retries the next one without dropping the request.

    Cost & token tracking

    See exactly where your spend goes. Filter by agent, model, or time range. Set spend limits per period and get alerts before budgets are crossed.

    Edge-first execution

    Run inference on the distributed ZeroGPU edge network, with automatic geo-aware routing to the nearest available device for the lowest latency.

    Private by default

    We don't store your prompts or responses. Only metadata (model used, token count, cost) is logged. Local mode keeps everything on your network.

    Drop-in OpenAI compatible

    Point any OpenAI-compatible client, SDK, or agent framework at the ZeroGPU Agent endpoint and it just works. No rewrites, no SDK lock-in.

    Drop-in compatible

    Point your existing OpenAI client at ZeroGPU Agent. That's it.

    import OpenAI from "openai";
    
    const client = new OpenAI({
      baseURL: "https://api.zerogpu.ai/v1",
      apiKey: process.env.ZEROGPU_API_KEY,
      defaultHeaders: {
        "x-project-id": process.env.ZEROGPU_PROJECT_ID,
      },
    });
    
    // Same call you already make. We pick the cheapest model that fits.
    const res = await client.chat.completions.create({
      model: "auto",
      messages: [{ role: "user", content: "Classify: 'I love this product!'" }],
    });

    Frequently asked questions

    Stop overpaying for the wrong model

    ZeroGPU Agent makes production AI affordable. Same behavior, a fraction of the cost.

    Start building