Crazyrouter vs Vercel AI Gateway: Pricing, Models and Use Cases in 2026

Crazyrouter vs Vercel AI Gateway: Pricing, Models and Use Cases in 2026#

If you are comparing Crazyrouter vs Vercel AI Gateway, the real question is not which homepage sounds better. The practical question is: which gateway fits your production workflow, model coverage, pricing expectations, deployment stack and migration path?

Vercel AI Gateway is attractive for teams already building on Vercel and the AI SDK. Crazyrouter is attractive for teams that want broad model access, OpenAI-compatible routing and a gateway that is not tied to one frontend hosting platform.

Quick verdict#

Use Vercel AI Gateway when your app is already deeply built around Vercel, the Vercel AI SDK, and you want a framework-native gateway experience.

Use Crazyrouter when your priority is broad model families, one OpenAI-compatible base URL, model experimentation across GPT, Claude, Gemini, Qwen, DeepSeek, GLM, image and video routes, and a gateway layer that can be used from any backend.

Real Crazyrouter API evidence#

Real test evidence used in this article:

Base URL: https://cn.crazyrouter.com/v1
Test date: 2026-06-18T14:58:18Z
GET /v1/models: HTTP 200, 620 ms, 262 models returned
DeepSeek routes found: 2
Qwen routes found: 20+
GLM routes found: 20+

Sample model families discovered by /v1/models:

• DeepSeek: deepseek-v4-flash, deepseek-v4-pro
• Qwen: qwen3-vl-plus, qwen2.5-coder-14b-instruct, qwen2-vl-72b-instruct, qwen3-coder-480b-a35b-instruct, qwen3-vl-30b-a3b-instruct, qwen3-30b-a3b, qwen-plus, qwen2.5-72b-instruct
• GLM: glm-5v-turbo, glm-4-flash, glm-4.1v-thinking-flash, glm-5-turbo, glm-5, glm-4.5-flash, glm-4.5, glm-4v

This matters because gateway comparison should not stop at feature tables. A gateway has to list models, accept real payloads, return usage data and let developers switch model IDs without rewriting the app.

Pricing comparison: what to actually compare#

Do not compare only the marketing plan price. For an AI gateway, compare:

1. raw model route price;
2. gateway markup or credit model;
3. retries and failed outputs;
4. latency impact;
5. whether usage data is returned consistently;
6. engineering time saved by one API layer;
7. whether the gateway locks you into one deployment platform.

Vercel AI Gateway is easiest to evaluate inside a Vercel stack. Crazyrouter is easiest to evaluate as an OpenAI-compatible API endpoint:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_CRAZYROUTER_API_KEY",
    base_url="https://cn.crazyrouter.com/v1",
)

resp = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role":"user","content":"Say hello."}],
)

Model coverage and routing#

Crazyrouter returned 262 models in this test, including GPT, Claude, Gemini, Qwen, DeepSeek, GLM, Kimi, image-generation and video-generation routes.

A practical routing map:

Production test results#

The DeepSeek route example is especially useful: HTTP 200 does not automatically mean usable final content. It returned reasoning tokens and hit the output limit with empty final content under this constrained prompt. Production gateways need validators, fallbacks and task-specific max token settings.

Crazyrouter vs Vercel AI Gateway: side-by-side#

When Vercel AI Gateway is the better choice#

Vercel AI Gateway can be a good fit when:

• your product already runs on Vercel;
• your team uses the Vercel AI SDK heavily;
• frontend streaming UX is the main requirement;
• you prefer one vendor workflow for hosting and AI app development.

When Crazyrouter is the better choice#

Crazyrouter is a stronger fit when:

• you need GPT, Claude, Gemini, DeepSeek, Qwen, GLM and multimodal models together;
• you want OpenAI-compatible migration;
• you are not fully committed to Vercel hosting;
• you care about model routing by task;
• you want to test multiple providers without rewriting your app.

FAQ#

Is Crazyrouter a Vercel AI Gateway alternative?#

Yes, for teams that mainly want unified model access and OpenAI-compatible API routing. It is not a Vercel hosting replacement; it is an AI API gateway.

Is Vercel AI Gateway better for Next.js apps?#

Often yes, especially if your app is already built around Vercel and the Vercel AI SDK. But if model coverage and cross-stack portability matter more, Crazyrouter is worth testing.

Which is cheaper?#

The answer depends on your model routes, retries, failed outputs and traffic profile. Compare cost per successful task, not only nominal token price.

Can I use Crazyrouter with a Vercel-hosted app?#

Yes. A Vercel app can call Crazyrouter through the OpenAI SDK by setting base_url to https://cn.crazyrouter.com/v1.

Bottom line#

Vercel AI Gateway is framework-native. Crazyrouter is model-access-native. If your main problem is building a Vercel AI SDK app, evaluate Vercel first. If your main problem is routing across many model families with one OpenAI-compatible API, test Crazyrouter.

Start here: Crazyrouter