--- title: "Scaleway Generative APIs free inference" description: "1M tokens for new accounts; it does not recur. See verified limits, model IDs, privacy terms, and primary sources for Scaleway Generative APIs." canonical_url: "https://freeinferencing.com/provider/scaleway_generative_apis/" md_url: "https://freeinferencing.com/provider/scaleway_generative_apis.md" last_updated: "2026-09-19" --- # Scaleway Generative APIs > 1M tokens for new accounts; it does not recur. ## Classification - **Directory:** Current - **Free access:** One-time trial - **Status:** Current trial - **Confidence:** High - **Payment card:** Yes - **Account:** Required - **Equivalent paid value:** Up to €5.68 once ## Models mentioned - `glm-5.2` - `deepseek-v4-flash-0731` - `gpt-oss-120b` - `mistral-small-3.2-24b-instruct-2506` - `pixtral-12b-2409` - `qwen3.6-35b-a3b` - `qwen3-embedding-8b` - `bge-multilingual-gemma2` ## Limits and terms ```yaml free_tokens: 1000000 transcription_minutes: 60 recurrence: not_explicitly_documented caveat: Recorded as an account-level trial allowance, not a recurring free tier. ``` ## What happens to your prompts? **Private.** Scaleway excludes ordinary prompt collection and model training, hosts models on its own EU infrastructure, and limits incident retention. Privacy is audited separately from price. Review the current governing terms before sending sensitive or regulated data. ## Data governance and agreements ```yaml data_governance: review_status: reviewed plan_scope: Scaleway Generative APIs hosted in Europe; batch processing and abuse investigations have explicit exceptions to the default zero-data-retention policy. prompt_retention: Prompts are not ordinarily collected, read, reused, or analyzed. For harmful misuse or failures, full HTTP request content may be stored and accessed for up to two weeks. Batch inputs are stored during processing for up to 24 hours. response_retention: Outputs are not ordinarily collected, read, reused, or analyzed; incident-related request content and batch-state exceptions apply. ordinary_logging: Anonymized request metadata, status codes, timestamps, input and output token counts, and non-content parameters are retained up to six months for performance and improvement. model_training: Scaleway states customer data is not used to train, retrain, or improve base models. product_improvement: Aggregated and anonymized metadata is used to monitor and improve the API; prompt and output content is excluded absent the documented incident exception. human_or_operator_access: Full request content may be accessed temporarily to reproduce and fix harmful misuse, unexpected errors, or security vulnerabilities. subprocessors_and_routing: Scaleway says it hosts the models on its own European infrastructure without interaction with third-party model services; ordinary support and payment subprocessors remain possible. deletion_controls: Incident content expires within two weeks, batch input within 24 hours, and anonymized usage data within six months; account-data rights follow the general privacy policy and DPA. caveat: The service calls its default policy zero data retention, but explicit incident, batch, and metadata retention remain. agreements: ai_service_terms: https://www-uploads.scaleway.com/Conditions_Particulieres_Services_IA_61a1a5f301.pdf privacy_policy: https://www.scaleway.com/en/privacy-policy/ data_processing_agreement: https://www-uploads.scaleway.com/DPA_2024_ENG_b0abb5cc26.pdf ``` ## Eligibility ```yaml account_required: true valid_payment_method_required_for_base_limits: true ``` ## API compatibility and modalities - **Compatibility:** OpenAI Compatible - **Modalities:** Embeddings ## Before you build with Scaleway Generative APIs ### Read the classification narrowly This record describes the bounded offer supported by evidence on 2026-09-19; it does not guarantee permanence, production suitability, uptime, latency, model quality, or access from every account and region. “One-time trial” should be interpreted together with the Current directory placement, High confidence, Yes payment-card status, and the plan-specific sources below. ### Resolve the live model route The snapshot records 8 model IDs. Match the exact ID against the provider's current catalog before using it in code because zero-price routes, aliases, context limits, and feature support can rotate while an older documentation page remains online. ### Match the quota to the workload shape Translate the allowance into peak requests per minute, input and output tokens, concurrency, retries, and every daily or monthly ceiling that applies to the intended account. The first limit reached by the workload is the practical ceiling. A large token pool can still fail interactive bursts, and a high request limit can still fail long-context work. Include tool calls and retry traffic, test the largest realistic payload, and treat research, experimental, and community access as conditional on their eligibility and fair-use terms. ### Preserve billing and privacy boundaries The recorded payment-card requirement is Yes, and account access is required. Confirm both in the live signup flow, set provider-side budgets when charges are possible, and observe the balance or usage fields after a complete request. The prompt-handling classification is **Private** because Scaleway excludes ordinary prompt collection and model training, hosts models on its own EU infrastructure, and limits incident retention. Re-read the terms for the exact route and plan before sending sensitive, regulated, or proprietary content. ### Follow the evidence, then re-check it This record links 10 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest and most specific governing document or live catalog when sources disagree. A dated finding can become stale even when the page remains online, so retain the source and snapshot that supported the decision and submit a correction when a provider changes a material term. ### Plan fallback without policy drift A fallback should preserve modality, context length, streaming, structured output, tools, safety controls, and data terms, not only API syntax. Decide which errors may retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. Rotating aliases and free pools can change behavior without changing the endpoint, so retain the response model field and test at least one substitute route before the primary offer becomes unavailable. ### Monitor the offer as a dependency Capture the model ID, response model, rate-limit headers, usage fields, latency, HTTP status, and provider request identifier. Watch authorization failure, quota exhaustion, catalog removal, policy revision, and balance movement as separate failure modes. Re-check the live catalog and governing sources on a schedule proportionate to the workload's importance, and keep an owner and exit path for any production dependency on volatile free capacity. ### Test one complete request before scaling Start with the smallest permitted request using the exact credential, model ID, endpoint, region, and account type intended for deployment. Record the status, headers, usage fields, response model, latency, and dashboard balance movement. Then exercise an invalid model, quota exhaustion, or rate limit so failure is explicit and cannot silently switch to a paid route. Validate streaming, structured output, and tool calls separately because a free model can expose fewer features than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and do not send sensitive data until the observed route matches the reviewed agreement. ## Primary sources - [Model as a Service pricing](https://www.scaleway.com/en/pricing/model-as-a-service/): Official Pricing - [Supported models](https://www.scaleway.com/en/docs/generative-apis/reference-content/supported-models/): Official Docs - [Rate limits](https://www.scaleway.com/en/docs/generative-apis/reference-content/rate-limits/): Official Docs - [Scaleway AI Services Special Conditions](https://www-uploads.scaleway.com/Conditions_Particulieres_Services_IA_61a1a5f301.pdf): Official Terms - [Scaleway Privacy Policy](https://www.scaleway.com/en/privacy-policy/): Official Privacy - [Scaleway Data Processing Agreement](https://www-uploads.scaleway.com/DPA_2024_ENG_b0abb5cc26.pdf): Official Dpa - [Generative APIs Privacy Policy](https://www.scaleway.com/en/docs/generative-apis/reference-content/data-privacy/): Official Docs - [PyPI download stats for the official Scaleway Python SDK](https://pypistats.org/packages/scaleway): Package Registry Stats - [2024 Stack Overflow Developer Survey technology section](https://survey.stackoverflow.co/2024/technology): Independent Survey - [About Scaleway (iliad Group European cloud provider)](https://www.scaleway.com/en/about-us/): Official About ## Sitemap See the full [semantic sitemap](/sitemap.md) for every page and markdown mirror.