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Where each of these stops.
These are good products. Each one solves a slice of the same problem deliberately well, and for plenty of teams a slice is all that is needed — every page below says plainly when that team is you.
What INFRO is betting on is that the slices belong together: the request that gets routed is the request that gets traced, priced, and checked against your organization's policy, and splitting that across three vendors is what creates the gaps.
Unified model API and router
INFRO vs OpenRouter
OpenRouter is the best-known unified endpoint for AI models: one API key reaching a very large catalog across providers, with routing and fallbacks between them, and now dedicated endpoints for image, video, speech and transcription as well as text. It is a mature, widely used product and the closest thing this category has to a default.
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LLM observability
INFRO vs Helicone
Helicone is an open-source observability platform for LLM applications — logging, tracing, cost tracking, evaluations, prompt management, and a gateway — and for the teams already running on it, it answers the question of what an AI application is doing very well. It is no longer a product a new team can adopt: Mintlify acquired Helicone in March 2026, it runs in maintenance mode, and new signups are closed.
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LLM router and gateway
INFRO vs Requesty
Requesty is an OpenAI-compatible routing gateway: one endpoint across hundreds of models with fallback, load-balancing and latency-based routing policies, automatic caching, budgets per team, user and key, guardrails for PII and secrets, approved-model lists, and per-request cost in the response. You can use Requesty's keys or your own, per model.
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AI gateway in Palo Alto Networks' Prisma AIRS security platform
INFRO vs Prisma AIRS AI Gateway (Portkey)
Portkey now ships as Prisma AIRS AI Gateway: Palo Alto Networks completed its acquisition in May 2026 and has made the gateway part of its Prisma AIRS AI security platform. It is a mature, widely deployed AI gateway with a very large model catalog, an MIT-licensed open-source gateway you can still self-host, prompt management, and a security surface — guardrails and PII redaction — that is among the strongest in this category.
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AI gateway on the Cloudflare developer platform
INFRO vs Cloudflare AI Gateway
Cloudflare AI Gateway puts a proxy in front of 23 providers and their own Workers AI, and its core — analytics, logging, caching and rate limiting — is free on any Cloudflare account. Through 2026 it became considerably more than a proxy: dollar spend limits evaluated before the provider is called — counting requests on your own keys too, for models with known pricing — spend attributed per identity, custom metadata, a visual routing builder with versioned deploys and instant rollback, OpenTelemetry export, guardrails and data-loss prevention in both directions.
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Open-source LLM gateway you host yourself
INFRO vs LiteLLM
LiteLLM is one of the most widely used open-source LLM gateways: a Python SDK and a self-hosted, OpenAI-compatible proxy that reaches more than 100 providers, with virtual keys, budgets by key, user, team and end user, load balancing and fallbacks, spend tracking, caching, guardrail integrations and logging callbacks. The core is MIT-licensed; organizations, audit logs and some admin controls sit under a commercial enterprise license.
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Media inference platform
INFRO vs Runware
Runware is an inference platform built on hardware it designs and runs, with a strong focus on image and video performance and cost. One endpoint now takes image, video, audio, 3D and text tasks across open, frontier and partner models.
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AI gateway on the Vercel platform
INFRO vs Vercel AI Gateway
Vercel AI Gateway is one endpoint across a large model catalog, built into the Vercel platform and the AI SDK. It takes no markup on tokens, sells model access through its own AI Gateway Credits with a free tier on a subset of models, and adds budgets by team, project, key and member, observability, zero-data-retention routing and regional inference.
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Managed model service on AWS
INFRO vs Amazon Bedrock
Amazon Bedrock runs models from many vendors inside AWS, under AWS identity, networking and billing. Around the models it carries a governance surface that many teams use as their gateway: cross-Region inference profiles, cost allocation tags through application inference profiles and Projects, Bedrock Guardrails, IAM policies per model, and model invocation logging.
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AI gateway in Azure API Management and Microsoft Foundry
INFRO vs Azure AI Gateway
Azure's AI gateway is a set of AI capabilities in Azure API Management, also switched on from Microsoft Foundry for model deployments there. It fronts Foundry and Azure OpenAI, other providers' OpenAI-, Anthropic- and Vertex-shaped APIs, self-hosted models, MCP servers and agent APIs, and applies APIM policy to them: token-per-minute limits and token quotas per key, semantic caching, Azure AI Content Safety checks, weighted and priority load balancing with circuit breakers, and token metrics in Azure Monitor.
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AI plugins on an API gateway
INFRO vs Kong AI Gateway
Kong AI Gateway brings AI traffic onto Kong Gateway, one of the most widely deployed API gateways: a model and provider abstraction over the major providers, load balancing and failover between them, semantic caching, token and cost-based rate limits, prompt guards, PII sanitizing, cloud guardrail integrations and MCP tooling — all as policies on the same runtime that already carries a company's APIs. If your platform team runs Kong today, adding AI traffic to it is a configuration change rather than a new vendor, and that is a strong position.
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Open-source AI gateway you host yourself
INFRO vs Bifrost
Bifrost is Maxim AI's open-source AI gateway, Apache-2.0 licensed and built to be self-hosted. Its open-source edition carries more than most gateways put in a paid tier: virtual keys with dollar budgets and rate limits at key, team and customer level, fallbacks and weighted load balancing across 20+ providers, semantic caching, an MCP gateway with per-key tool allow-lists, OpenTelemetry, and pricing overrides for your own rates.
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Enterprise AI platform with an AI gateway
INFRO vs TrueFoundry
TrueFoundry is an enterprise AI platform: an AI gateway, an MCP gateway and an agent gateway beside model deployment and serving, fine-tuning and agent tooling, deployable as SaaS, hybrid, in your own cloud, on-premises or air-gapped. Its gateway, usable on its own, covers 1000+ models across chat, embeddings, images, audio, rerank and realtime, with routing, budgets, guardrails including prompt-injection checks, semantic caching, prompt management and RBAC.
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Our reading of each product's public documentation as of October 2026. We do not quote competitors' prices — theirs change and a wrong number about someone else's business is worse than none. Think a row is wrong? Tell us and we will fix it.
Where the differences actually are.
Most of these products route, log and track cost, and several work with your own provider keys. What separates them is who holds the provider account, what the entry plan includes, and what is not built yet. Our reading of each product's public documentation — tell us where we have read it wrong and we will fix the row.
| Product | Cost ownership | Cost attribution | Governance on entry plan | Runtime AI security |
|---|---|---|---|---|
| Cloudflare AI Gateway | your own keys, or their creditsYes | metadata and identityYes | Partialgateway-scoped; account roles | guardrails and DLPYes |
| OpenRouter | Partialcredits by default; BYOK with a fee | Partial | workspace, member and key budgetsYes | No |
| Heliconemaintenance mode; signups closed | your own accountsYes | by user and custom propertiesYes | Partial | No |
| Portkey / Prisma AIRS | your own accountsYes | by metadataYes | Partial | their specialismYes |
| Requesty | Partialmarkup on model costs; BYOK available | Partial | Partial | No |
| INFRO | 0% of model spendYes | project, key, end userYes | budgets, allowlists, audit on every plan; SSO from BusinessYes | Partialpattern and classifier guardrails, Business plan |
Our reading of each product's public documentation, October 13, 2026. We do not quote competitors' prices — theirs change and a wrong number about someone else's business is worse than none. Helicone has been in maintenance mode under Mintlify since March 2026 and is closed to new customers; it stays in the table because the teams already on it are the ones most likely to be reading this. INFRO's row describes its first release, and INFRO is in private early access. Think a mark is wrong? Tell us and we will fix it.
What INFRO covers, stage by stage.
Six things a production team needs around its model calls, and what INFRO does for each today.
01Connect
The provider accounts you already hold, behind one OpenAI-compatible API and scoped gateway keys.
02Route
A route orders or weights its targets; when one times out or errors before the response starts, the next healthy target serves it.
03Observe
Every request keeps its provider, connection, attempts, latency, tokens and estimated provider cost, by project and key.
04Optimize
Estimated spend at the vendor's list rate or your negotiated rate, with budgets that alert or refuse requests past the limit.
05Govern
Roles, model allowlists and an audit log of who changed a key, a policy or a member.
06Scale
Projects and seats across teams, single sign-on and directory provisioning from the Business plan, and an enterprise agreement when you need one.
In INFRO these are one request record: the request that gets routed is the one that gets traced, priced and checked against policy, so there is no second system to reconcile it with.