Meta vs Scaleway: Token Pricing, Speed & Intelligence
Full comparison of Meta and Scaleway — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Meta
Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
Scaleway
French cloud provider with sovereign EU LLM inference
Scaleway is a French cloud provider offering GPU compute and LLM inference with a focus on European data sovereignty. Their Generative APIs service hosts Llama 3.3 and other open-weight models, making them a strong choice for European businesses with data residency requirements.
Key metrics
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Live token pricing
Strengths & weaknesses
Meta
Scaleway
Key differentiators
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
The strongest European data sovereignty credentials — a French company with French data centres, ideal for organisations with strict EU data residency requirements.
Frequently asked questions
Meta FAQs
What is the Llama 4 context window?
Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 1.5 Pro for long-document and multi-document tasks.
How much does the Meta Llama API cost?
Llama 3.2 1B is $0.02/1M tokens in/out. Llama 3.2 3B is $0.03/$0.05. Llama 3.1 8B is $0.02/$0.05. Llama 3.2 90B Vision is $1.20/$1.20. Muse Spark 1.1 is $1.25/$4.25. Llama 4 Behemoth pricing is not yet publicly listed.
Can I self-host Llama models?
Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. A single H100 at ~$2.50/hr can serve Llama 3.1 8B at very high throughput, making self-hosting cost-effective above ~10M tokens/day.
Scaleway FAQs
Is Scaleway GDPR-compliant?
Yes. Scaleway is a French company with data centres in France and the Netherlands. All data stays within the EU, making it one of the strongest options for GDPR compliance and French data sovereignty requirements.
What LLM models does Scaleway offer?
Scaleway's Generative APIs service hosts Llama 3.3 and other open-weight models. Their catalog is focused on the most widely-used open-source models.
How does Scaleway compare to Nebius AI for European inference?
Both are European providers with GDPR-compliant infrastructure. Scaleway has stronger French data sovereignty credentials (French company, French data centres) while Nebius AI has a larger model catalog and more inference-focused infrastructure.
Provider resources
Meta — Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
Scaleway — French cloud provider with sovereign EU LLM inference
Scaleway is a French cloud provider offering GPU compute and LLM inference with a focus on European data sovereignty. Their Generative APIs service hosts Llama 3.3 and other open-weight models, making them a strong choice for European businesses with data residency requirements.
The strongest European data sovereignty credentials — a French company with French data centres, ideal for organisations with strict EU data residency requirements.
Key strengths compared
Meta
- ▸Open-weight models — self-host on any GPU cloud for lowest per-token cost at scale
- ▸Llama 4 Behemoth: 2T parameter frontier model with 1M context window
- ▸Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
Scaleway
- ▸French cloud — strongest EU data sovereignty credentials
- ▸GDPR-compliant with data centres in France and Netherlands
- ▸GPU compute + LLM inference from one provider
Provider category context
Meta is a open source host, founded in 2023. Scaleway is a cloud, founded in 1999. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Meta if you need open-weight models — self-host on any gpu cloud for lowest per-token cost at scale. Choose Scaleway if you need french cloud — strongest eu data sovereignty credentials. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.