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InferAll vs Vercel AI Gateway

The short version: Vercel AI Gateway is best-in-class inside the Vercel ecosystem — Next.js on Vercel plus the AI SDK plus billing folded into the same invoice. Both gateways now expose OpenAI Chat Completions and Anthropic Messages surfaces, so the wire format isn't the wedge. The wedge is scope: Vercel's gateway pairs with a hosting and SDK commitment; InferAll is the gateway without the platform decision, with a permanent free OSS tier for CLI agents, cron jobs, ML eval pipelines, and any backend that isn't a Next.js app on Vercel.

At a glance

FeatureVercel AI GatewayInferAll
Primary positioningGateway optimized for the Vercel ecosystemStandalone gateway with a free OSS tier, anywhere
Best-in-class forVercel-hosted Next.js apps using the AI SDKClaude Code, Cline, CLI agents, non-Next.js servers
Pricing modelProvider list price, zero markup; $5 trial credit / 30d until first paymentProvider list price, zero markup; permanent free OSS tier
Free OSS inference tierNone — $5 / 30d trial credit applies to any model, then ends100k tokens/month on 186 NVIDIA-hosted OSS, permanent
Catalog sizeHundreds of models from many providers255+ models across 6 providers
Anthropic-format endpointYes — /v1/messages at ai-gateway.vercel.shYes — /v1/messages, default surface
OpenAI-format endpointYes — usable via AI SDK and direct HTTPYes — /v1
AI SDK integrationFirst-class — that is the design centerWorks via the SDK's OpenAI-compatible provider
Hosting couplingStrongest when paired with Vercel hostingNone — call from anywhere
Billing surfaceFolded into your Vercel accountStandalone: free, Pro, Team, Enterprise
Failover / fallbackAutomatic fallbacks during provider outagesServer-side cross-provider retry on 429/529/5xx/timeout
VS Code extensionNo first-party branded extensionYes — InferAll for VS Code (Cline-based, sign-in to use)

Vercel-side figures (catalog, free credit, failover, Anthropic endpoint) are pulled from vercel.com/ai-gateway and vercel.com/docs/ai-gateway at the last-updated date below. Have a correction? Email contact@kindly.fyi.

When Vercel AI Gateway is the right choice

If you're already deploying on Vercel and using their AI SDK, the Gateway is one config away from working. It bills through your existing Vercel invoice, surfaces in the same dashboard as the rest of your project, and the AI SDK's provider abstraction makes model selection a one-line change. The integration tax is genuinely close to zero. We're not going to pretend we beat that on Vercel's home turf — for a Next.js-on-Vercel app using the AI SDK, Vercel AI Gateway is the obvious answer and adding a second vendor would be the harder path.

The second case is “I want my AI infrastructure to feel like the rest of my Vercel stack.” If you value the unified vendor relationship — one bill, one dashboard, one support channel covering hosting, edge functions, and model access — Vercel AI Gateway leans into that and InferAll cannot. Whether that's a feature or a concern depends on your view of platform consolidation; for plenty of teams it's a feature.

The third case is observability tied to the rest of the Vercel platform. Model calls show up alongside edge function traces and request logs in the same panel of glass — no separate tool to context-switch into. Add the $5-per-30-day trial credit against any model on their catalog and the on-ramp for a Vercel-shaped team is hard to beat. InferAll's dashboard is standalone and is not wired into your hosting platform's observability graph; for buyers who want one place to see the whole request, Vercel has the home-turf advantage.

When InferAll is the right choice

The clearest fit is workloads whose shape Vercel AI Gateway doesn't optimize for. Concretely: CLI agents like Claude Code, Cline, Cursor, and Aider running on a developer laptop. Server-side cron jobs and scheduled tasks on AWS, GCP, Fly, Railway, or your own boxes. ML training and eval pipelines that need inference on a schedule. Mobile apps (React Native, native iOS, Android) that talk to a gateway directly. And web stacks that aren't Next.js on Vercel — Astro, Rails, Django, Go, Rust, Remix deployed elsewhere. For any of those shapes, the Vercel-side integration value (AI SDK, edge runtime, billing inside the Vercel project) doesn't apply. InferAll's endpoints are callable from anywhere with no platform-shaped assumptions, including the Anthropic Messages format that Claude Code and Cline speak natively.

The free open-source inference tier is the second reason and the bigger one in practice. InferAll bundles 100,000 tokens per month against 186 NVIDIA-hosted OSS models — Llama 3.1 405B, Mixtral, Nemotron, CodeLlama — into the gateway, and it's the permanent free tier, not a one-time trial. For chatty agents that burn tokens on cheap inner-loop turns (file reads, summaries, classification, lint-style suggestions), that allowance is the difference between a paid pilot and a free one. Vercel's $5-per-30-day credit covers any model for a while, then it ends; InferAll's OSS pool keeps refreshing.

The third reason is scope fit. Vercel AI Gateway is best-in-class for the Vercel ecosystem; that ecosystem (hosting, AI SDK, edge runtime, account-level billing) is also a commitment. InferAll is the gateway without the platform decision — same protocols on the wire, no hosting opinion, no SDK opinion. If your application already lives somewhere else, or you want it to be portable by design, InferAll doesn't pull you toward a particular host. The framing isn't that Vercel is wrong; it's that the comparison is about scope, not quality. Vercel AI Gateway is a serious product and we wouldn't talk anyone off of it for a Vercel-shaped app.

Using InferAll inside an AI SDK app

If you're on the AI SDK but reconsidering the gateway choice, the migration is small. The AI SDK's OpenAI provider accepts a custom base URL, so pointing it at InferAll keeps every AI SDK feature working — streaming, tool calls, structured outputs — against a different upstream.

AI SDK with InferAll

# Before: Vercel AI Gateway via the AI SDK
# (AI SDK reads AI_GATEWAY_API_KEY and base URL from env or config.)

# After: InferAll via the AI SDK's OpenAI-compatible provider
import { createOpenAI } from "@ai-sdk/openai";

const inferall = createOpenAI({
  apiKey: process.env.INFERALL_API_KEY,        // ifa_...
  baseURL: "https://api.inferall.ai/v1",
});

// Streaming, tool calls, structured outputs all work — same SDK,
// different upstream.

You will give up the Vercel-native ergonomics around billing and edge integration — those are real, not just marketing. The trade is: you keep the AI SDK programming model, you gain the free OSS allowance and the Anthropic-format endpoint, you take a hit on the unified Vercel-account experience.

Outside the Vercel stack

Vercel AI Gateway is callable from anywhere — including from Claude Code via ANTHROPIC_BASE_URL — so “can it reach my code” isn't the question. The question is where the gateway lives in your billing and ops graph. If your project doesn't have a Vercel account, adding a Vercel-side gateway adds an account, a billing relationship, and a permission surface that doesn't connect to anything else you operate. InferAll's endpoints are the same protocols, billed standalone, with the free OSS pool included.

Non-Vercel workloads

# Outside of Next.js, the AI SDK isn't the integration shape you have —
# you have Claude Code, Cline, or your own scripts.

# Claude Code through InferAll (Anthropic-format, no adapter):
export ANTHROPIC_API_KEY=ifa_...
export ANTHROPIC_BASE_URL=https://api.inferall.ai
claude

# Python script through InferAll (OpenAI-format):
export OPENAI_API_KEY=ifa_...
export OPENAI_BASE_URL=https://api.inferall.ai/v1
python my_agent.py

Why we're writing this

This page is on inferall.ai and it's about an InferAll competitor, so the bias goes one way by default. We built InferAll because we wanted a gateway with a free OSS allowance and an Anthropic-format endpoint that works from anywhere — not from inside a particular hosting platform. Vercel has built something excellent for the Next.js + AI SDK + Vercel-hosting case, and for that audience it's the right answer. If we wrote a comparison that didn't name where they're ahead, you'd be right not to trust the rest of the page.

Frequently asked questions

Is InferAll a Vercel AI Gateway alternative?

For projects that aren't deeply tied to Vercel's hosting and AI SDK, yes. Vercel AI Gateway is best-in-class inside the Vercel ecosystem — Next.js on Vercel, AI SDK, billing folded into the Vercel invoice. Both gateways now expose Anthropic Messages and OpenAI Chat Completions surfaces, so the wire-format wedge has closed. InferAll's differentiation is shape, not protocol: a standalone gateway with a permanent free OSS inference tier, no hosting decision attached, useful from Claude Code on a laptop, a cron job on AWS, a Python script in a CI runner, or any backend that isn't a Next.js app on Vercel.

Should I use Vercel AI Gateway if I'm already on Vercel?

Probably, yes. If your application is a Next.js app deployed to Vercel and you're already using the Vercel AI SDK, their gateway is the path of least resistance. Edge-friendly, billing tied to your Vercel account, no separate vendor to onboard. We're not going to fight that gravity for the Vercel-native case. If you're considering InferAll for a Vercel-hosted app, the question worth asking is whether the free OSS tier and the Anthropic-format endpoint matter enough to introduce a second vendor.

Does InferAll work with the Vercel AI SDK?

Yes, via the AI SDK's OpenAI-compatible provider — point the provider at https://api.inferall.ai/v1 and use your InferAll key. Streaming, tool calls, and structured outputs work because the wire format is the same. This is the same pattern you'd use to point the AI SDK at any OpenAI-compatible upstream.

Does Vercel AI Gateway expose an Anthropic-format endpoint for Claude Code?

Yes — Vercel ships /v1/messages at https://ai-gateway.vercel.sh and documents Claude Code setup explicitly (ANTHROPIC_BASE_URL plus ANTHROPIC_AUTH_TOKEN, with ANTHROPIC_API_KEY set to empty string). So this is no longer an InferAll-only capability. The remaining wedge is where the gateway lives: Vercel AI Gateway bills through your Vercel account and is best paired with the rest of the Vercel stack; InferAll is a standalone gateway with a separate free OSS tier and no hosting decision attached.

What about the free tier?

Vercel AI Gateway gives every Vercel account $5 of credits every 30 days against any model on their list — it's a trial allowance that ends as soon as you make your first payment. InferAll's free tier is 100,000 tokens per month against 186 open-source models hosted on NVIDIA NIM (Llama 3.1 405B, Mixtral, Nemotron, CodeLlama), and it's the permanent free tier, not a trial credit. The shape is different: Vercel's $5 is dollars across premium models for a few weeks; InferAll's allowance is OSS tokens you keep month after month. For a developer running Claude Code against OSS upstreams, the InferAll pool lasts longer.

I'm building a non-Next.js, non-Vercel app — is Vercel AI Gateway still a fit?

It can be — the gateway itself is callable from anywhere, you don't have to host on Vercel to use it. But the integration value compresses as you move away from Vercel-shaped tooling. CLI agents, Python servers running on AWS, Claude Code on a developer laptop — none of these get extra benefit from the Vercel side of the stack. For those workloads, InferAll's free OSS tier and Anthropic-format endpoint are more direct fits than what a Vercel-optimized gateway is selling.

Is InferAll locking me in differently than Vercel does?

Both gateways expose OpenAI-compatible and Anthropic-compatible surfaces, so moving off either is a base-URL change. The structural difference isn't the gateway protocol — it's the ecosystem around it. Vercel AI Gateway is best-in-class for the Vercel ecosystem; that ecosystem (hosting, AI SDK, edge runtime, unified billing) is also a commitment. InferAll is the gateway without the platform decision: same protocols, no hosting opinion. Different shapes of switching cost, not different magnitudes.

Related

InferAll home — the gateway, the free tier, the failover story.

InferAll for VS Code — Cline-based agent with the gateway pre-wired, free first run.

Pricing — free tier, Pro, Team, Enterprise.

AI inference API — endpoint surface, supported providers, code examples.

Unified AI API — one key, one bill, every provider.

Last updated: 2026-05-14.

Vercel AI Gateway facts on this page are drawn from vercel.com and the AI SDK public documentation. InferAll facts are drawn from this site and the gateway running at api.inferall.ai. Specifics change. Have a correction? Email contact@kindly.fyi.