Migrate from Groq Cloud to Railwail
Migration Guides

Migrate from Groq Cloud to Railwail

Switch from Groq Cloud to Railwail. Same OpenAI-compatible API, same blazing-fast Llama and Mixtral, EU hosting, EUR billing, plus 275+ other models.

Railwail Teamยท Developer Relations7 min readMay 16, 2026

TL;DR โ€” Switch in Under 5 Minutes

  • Both APIs are OpenAI-compatible โ€” change baseURL and key only
  • Llama 3.3, Mixtral, Gemma 2, Whisper available on Railwail
  • EU-hosted endpoint, EUR billing
  • Plus 270+ other models including Claude, GPT-4o, Gemini
  • When you need Groq-level throughput, Railwail routes to LPU providers transparently

Why Move Off Groq Cloud?

Groq's LPU hardware delivers exceptional throughput on open-source LLMs. The constraint is catalog size โ€” Groq Cloud only hosts a small selection of open models, has no closed-source frontier models, US-only hosting, and USD billing. Railwail gives you the Groq-style throughput for open models plus everything else.

Step 1 โ€” Get a Railwail API Key

Sign up at railwail.com and generate a key.

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GPT-4o, Claude, Gemini, Llama, Flux, DALL-E and more โ€” all through a single, OpenAI-compatible endpoint. No more juggling multiple providers.

Step 2 โ€” Change Base URL

TypeScript / JavaScript

Before (Groq):

import OpenAI from "openai";

const groq = new OpenAI({
  apiKey: process.env.GROQ_API_KEY,
  baseURL: "https://api.groq.com/openai/v1",
});

const res = await groq.chat.completions.create({
  model: "llama-3.3-70b-versatile",
  messages: [{ role: "user", content: "Hello" }],
});
After (Railwail):
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://api.railwail.com/v1",
});

const res = await client.chat.completions.create({
  model: "llama-3.3-70b-instruct",
  messages: [{ role: "user", content: "Hello" }],
});

Python

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://api.railwail.com/v1",
)

resp = client.chat.completions.create(
    model="llama-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

cURL

curl https://api.railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

API Endpoint Mapping

Groq endpoint โ†’ Railwail equivalent

Groq CloudRailwailNotes
POST /openai/v1/chat/completionsPOST /v1/chat/completionsIdentical
POST /openai/v1/audio/transcriptionsPOST /v1/audio/transcriptionsWhisper-large-v3
POST /openai/v1/audio/translationsPOST /v1/audio/translationsWhisper translate
GET /openai/v1/modelsGET /v1/models275+ models

Model Mapping

Groq model โ†’ Railwail

GroqRailwailNotes
llama-3.3-70b-versatilellama-3.3-70b-instructLlama 3.3
llama-3.1-70b-versatilellama-3.1-70b-instructLlama 3.1
llama-3.1-8b-instantllama-3.1-8b-instructSmall, fast
mixtral-8x7b-32768mixtral-8x7b-instructMoE
gemma2-9b-itgemma-2-9b-itGoogle open
whisper-large-v3whisper-large-v3STT
whisper-large-v3-turbowhisper-large-v3-turboFaster STT
llama-guard-3-8bllama-guard-3-8bSafety classifier

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Pricing Comparison (per 1M tokens, May 2026)

Same model, Railwail in EUR

ModelGroq (USD)Railwail (EUR)Notes
llama-3.3-70b-instruct$0.59 / $0.79EUR 0.54 / 0.73Input/output
llama-3.1-8b-instruct$0.05 / $0.08EUR 0.046 / 0.074Identical
mixtral-8x7b-instruct$0.24 / $0.24EUR 0.22 / 0.22Identical
gemma-2-9b-it$0.20 / $0.20EUR 0.18 / 0.18Identical
whisper-large-v3 per minute audio$0.0036EUR 0.0033Identical

Why Railwail Over Groq Cloud

  • EU billing in EUR with VAT receipts
  • EU hosting for GDPR compliance
  • Same OpenAI-compatible API
  • Adds Claude, GPT-4o, Gemini, Flux โ€” Groq has no closed-source models
  • Built-in playground for cross-model A/B testing
  • Comparable per-token pricing

FAQ

Do I get Groq's LPU speed on Railwail?

For open-source models, Railwail routes to LPU and high-throughput vLLM providers transparently. Token-per-second throughput is typically within 20% of Groq's direct LPU endpoints, while first-token latency to EU customers is usually faster because of the closer edge.

What about Groq's whisper-large-v3-turbo?

Available as whisper-large-v3-turbo on Railwail with the same speed-up vs the standard model.

Are tool calls supported?

Yes. Tool/function calling on Llama 3.3 70B works through the standard OpenAI tools schema.

What about the JSON mode?

response_format: { type: 'json_object' } and response_format with json_schema are both supported.

Will my Groq prompts produce identical output?

Same weights, same temperature โ†’ same output distribution. Minor token-by-token differences may occur due to different sampling kernels.

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Next Steps

  • Sign up at railwail.com
  • Generate an API key
  • Update baseURL and model slug
  • Read the reference at railwail.com/docs
  • Browse models at railwail.com/models
  • Compare pricing at railwail.com/pricing

Railwail Team

Developer Relations

The Railwail team writes integration guides for developers migrating from single-provider AI APIs to a unified multi-model platform.

Tags:
Groq
Migration
Llama
Low Latency
Open Source