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FreemiumAI API

FastRouter

FastRouter is a unified LLM gateway that gives developers one OpenAI-compatible API for 200+ models from providers such as OpenAI, Anthropic, Google, and xAI. It adds automatic model routing, fallbacks, caching, spend caps, role-based access, guardrails, and per-request observability, while passing provider token prices through with no markup on any plan, including the free tier.

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What is FastRouter?

FastRouter is a unified API gateway for large language models, operated by AI.tech Ltd. It gives engineering teams one OpenAI-compatible endpoint that reaches more than 200 models from providers including OpenAI, Anthropic, Google, xAI, and others, covering text, image, video, embeddings, and speech. Rather than integrating every vendor separately, a team points its existing SDK at the FastRouter base URL and changes the model identifier when it wants a different model.

Routing is the center of the product. An auto router inspects each request and sends it to a model chosen for cost, latency, or output quality, depending on the policy a team configures. Virtual model aliases group several providers and models behind one name, so an application calls a single alias while FastRouter selects a healthy backend. Fallback lists, automatic retries, and load balancing across providers keep requests moving when one provider degrades, and aggregated capacity across providers can raise the effective rate limits a workload sees.

Cost control sits alongside routing. Every plan passes model usage through at the provider's list price with no markup, and a pricing calculator estimates monthly spend before a team commits. Budget caps, per-project API keys, rate limits, member roles, and role-based access control let platform owners contain spend without blocking developers. Response caching, provider-native prompt caching, and batch processing reduce repeated token spend, while guardrails validate inputs and outputs in observe or block mode.

Observability is built in rather than added later. One dashboard tracks usage, latency, errors, and cost across models and providers, with filters and a per-request activity log. Distributed tracing follows a request through the gateway, alert rules fire on spend anomalies and error spikes, and the Insights feature reviews traffic that is already routed and returns a ranked list of model or routing changes, each with the sampled requests and savings math behind it.

Beyond the gateway, FastRouter includes a model playground and a Model Council for side-by-side comparison and multi-model cross-checking, custom and video evaluations, prompt management and prompt optimization, an MCP gateway, bring-your-own-key routing through a team's existing provider accounts, and setup guides for Claude Code, Codex, and agent frameworks. Starter is free forever with 200,000 logs a month, Pro and Business add tracing, more organizations, and higher limits, and Enterprise can self-host the gateway inside a customer's own cloud so prompts, responses, logs, and provider keys stay inside the network.

FastRouter AI API product interface screenshot

FastRouter Core Features

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OpenAI-Compatible Gateway

Point an existing OpenAI SDK at the FastRouter base URL and call 200+ models by changing only the model identifier.

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Automatic Model Routing

Route each request by a cost, latency, or quality policy, with an auto router that picks a suitable model without manual tuning.

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Failover and Fallback Lists

Retry across providers, define prioritized fallback models, and use virtual model aliases so traffic continues when a provider degrades.

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Zero-Markup Model Pricing

Pay the provider's published per-token price on every tier, with a calculator for estimating monthly spend before rollout.

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Budgets, Keys and RBAC

Cap spend per project, issue scoped API keys, set rate limits, and assign member roles across organizations.

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Observability and Alerts

Review unified dashboards, per-request logs, distributed tracing, and alert rules for cost, latency, and error anomalies.

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Caching and Batch Processing

Cut repeat token spend with response and prompt caching, and run high-volume jobs through batch processing.

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Guardrails and Evaluations

Validate inputs and outputs in observe or block mode, and run custom and video evaluations against model outputs.

Who is FastRouter for?

FastRouter is aimed at teams that ship LLM features and need more than a single provider account, without building gateway infrastructure themselves. Application developers use it to reach many models through one OpenAI-compatible client, so switching from a fast, inexpensive model to a stronger one is a one-line change rather than a new integration. Platform and LLM infrastructure engineers use virtual model aliases, fallback lists, retries, and load balancing to keep shared model access reliable for every product that depends on it. Engineering managers and FinOps owners use project budgets, spend caps, per-key limits, and usage dashboards to see where token spend goes and to stop one team from consuming the monthly budget. Product teams use the playground, Model Council, and evaluations to compare candidate models on their own prompts and to check quality before a model change reaches production. Startups and small engineering teams get a working gateway on the free Starter tier, which covers 200+ models, the auto router, fallbacks, RBAC, and 200,000 logs a month without a card. Security and compliance groups in larger organizations look at role-based access, guardrails, audit-friendly logs, BYOK, and Enterprise self-hosting when prompts or provider keys cannot leave a controlled network, and they usually want per-request visibility before approving a new model provider.

FastRouter Use Cases

Consolidate access to OpenAI, Anthropic, Google, and xAI models behind one API key and one billing line.

Cut LLM spend by routing routine requests to cheaper models and reserving premium models for harder prompts.

Keep a customer-facing assistant online through a provider outage with automatic retries and fallback models.

Give each product team its own project, budget cap, and scoped key without sharing provider credentials.

Compare candidate models on your own prompts in a playground before committing to one for production.

Trace slow or failing requests across providers to find the model, route, or provider responsible.

Run high-volume classification or summarization jobs through batch processing at lower cost.

Self-host the gateway inside your own cloud for regulated workloads that cannot leave the network.

FastRouter Pros and Cons

Pros

  • Drop-in OpenAI compatibility means most integrations change a base URL and a model ID, not application code.
  • Model tokens are passed through with no markup on every tier, including the free Starter plan.
  • Routing, failover, budgets, logs, and alerts ship together, so teams avoid stitching several separate tools.
  • BYOK and Enterprise self-hosting address existing provider contracts and data residency requirements.

Cons

  • Production features such as tracing, response caching, and longer log retention start on the $199/month Pro plan, while Starter keeps 200K logs and 7-day retention.
  • Model availability and latency still depend on upstream providers, so behavior can differ by region and time of day.
  • Self-hosting, unlimited logs, and negotiated BYOK limits require an Enterprise contract with sales.

FAQ About FastRouter

FastRouter Pricing

FreemiumFrom USD 0.00

Pay-per-token model usage at the provider's list price with $0 markup, alongside optional platform plans (free Starter, Pro at $199/month, Business at $799/month, custom Enterprise), and new accounts receive free credits with no credit card or monthly minimum.

Check official pricing

Starter

$0/month

Free forever: 3 organizations, 5 virtual model aliases, 1 BYOK key with 1M requests/month, 200K logs/month with 7-day retention, community and docs support.

Pro

$199/month

For production teams: 10 organizations, 20 members, 20 aliases, 10 BYOK keys, 5M requests/month, 1M logs with 60-day retention, response caching, tracing, guardrails, email support with a 4-day SLA.

Business

$799/month

Scale across teams: 100 organizations, 100 members, 100 aliases, 50 BYOK keys, 50M requests/month, 5M logs with 120-day retention, provisioning keys, email support with a 2-day SLA.

Enterprise

Custom/year

Self-hosted or managed with unlimited organizations, members, projects, and logs, negotiated BYOK and volume terms, unlimited evaluations, and a dedicated Slack channel with SLA.

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