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Overview

Scaleway Generative APIs provides 1 million free tokens to new users, giving you access to a diverse selection of open-source language models, embedding models, and audio models.

Trial Tokens

1,000,000 free tokens

Model Variety

20+ models available

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Available Models

Scaleway offers a comprehensive selection of models across different categories:

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Language Models

ModelDescription
DeepSeek R1 Distill Llama 70BDistilled reasoning model
Gemma 3 27B InstructGoogle’s efficient model
Llama 3.1 8B InstructFast Llama model
Llama 3.3 70B InstructLarge Llama model
Mistral Nemo 2407Mistral’s efficient model
mistral-small-3.2-24b-instruct-2506Latest Mistral Small
devstral-2-123b-instruct-2512Large development model
gpt-oss-120bOpen-source GPT model
holo2-30b-a3bSpecialized model
qwen3-235b-a22b-instruct-2507Large Qwen model
qwen3-coder-30b-a3b-instructCoding-focused Qwen

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Vision Models

  • Pixtral 12B (2409): Multimodal vision-language model

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Audio Models

  • Whisper Large v3: State-of-the-art speech recognition
  • voxtral-small-24b-2507: Voice processing model

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Embedding Models

  • BGE-Multilingual-Gemma2: Multilingual embeddings
  • qwen3-embedding-8b: Qwen embeddings

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Getting Started

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1. Sign Up

Visit console.scaleway.com/generative-api/models and create a Scaleway account.

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2. Get Your API Key

Navigate to the Generative API section in the console to generate an API key.

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3. Make API Calls

import openai

client = openai.OpenAI(
    api_key="YOUR_SCALEWAY_API_KEY",
    base_url="https://api.scaleway.ai/v1"
)

response = client.chat.completions.create(
    model="llama-3.3-70b-instruct",
    messages=[{
        "role": "user",
        "content": "What is the capital of France?"
    }]
)

print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.SCALEWAY_API_KEY,
  baseURL: 'https://api.scaleway.ai/v1'
});

const response = await client.chat.completions.create({
  model: 'llama-3.3-70b-instruct',
  messages: [{
    role: 'user',
    content: 'What is the capital of France?'
  }]
});

console.log(response.choices[0].message.content);

curl https://api.scaleway.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_SCALEWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [{
      "role": "user",
      "content": "What is the capital of France?"
    }]
  }'

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Model Categories

Text Generation

DeepSeek, Llama, Gemma, Qwen, Mistral models

Code Generation

Qwen Coder, Devstral for development

Embeddings

BGE and Qwen embeddings for RAG

Multimodal

Pixtral for vision-language tasks

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Use Cases

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Text & Code Generation

  • Chatbots: Build conversational AI with Llama or Qwen
  • Code Assistance: Use Qwen Coder or Devstral for coding
  • Content Creation: Generate text with various models

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Embeddings & RAG

  • Semantic Search: Use embedding models for similarity
  • RAG Systems: Build retrieval-augmented generation apps
  • Document Analysis: Process and understand documents

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Audio & Vision

  • Transcription: Convert speech to text with Whisper
  • Image Understanding: Analyze images with Pixtral

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European Infrastructure

Scaleway is a European cloud provider with data centers in Europe, offering GDPR-compliant infrastructure for AI workloads.

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Benefits

  • GDPR Compliance: European data residency
  • Low Latency: Fast access from Europe
  • Reliable Infrastructure: Enterprise-grade cloud platform

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API Compatibility

Scaleway uses an OpenAI-compatible API, making it easy to integrate with existing applications and tools.

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Resources

Scaleway Console

Access the platform

Documentation

View API documentation
With 1 million free tokens, you have substantial capacity to test and evaluate multiple models for your use case.

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