Frontiere AI
EU sovereign AI gateway — Mistral, GLM-5.3, DeepSeek with per-model jurisdiction labels
Frontiere AI is an EU sovereign AI gateway routing requests to OVHcloud, Scaleway, Mistral, and AKI.IO infrastructure. Each model carries a per-model jurisdiction label so customers know exactly where their data is processed. Prices are in EUR per 100k tokens, VAT included, with a EUR 10 minimum top-up. Suited for European enterprises with GDPR and data residency requirements.
EU sovereign AI gateway with per-model jurisdiction labels, routing to OVHcloud, Scaleway, Mistral, and AKI.IO.
- EU sovereign infrastructure — OVHcloud, Scaleway, Mistral, AKI.IO
- Per-model jurisdiction labels — know exactly where data is processed
- EUR pricing — no currency risk for European customers
- GDPR-aligned by design
- EUR pricing excluded from USD cross-provider comparisons
- Smaller model catalog vs global inference hubs
- EUR 10 minimum top-up — not suitable for very low-volume testing
Frontiere AI Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
DeepSeek V4 Flash DeepSeek | Chat | efficient | €0.67/ €1.34 in / out per 1M · Priced in EUR EST Oct 2026 | — | — | — | 131K | — | ||
Mistral Large 4 Mistral Large | Chat | advanced | €2.51/ €7.72 in / out per 1M · Priced in EUR EST Oct 2026 | — | — | — | 131K | — | ||
GLM-5.3 GLM-5.3 | Chat | advanced | €3.02/ €9.24 in / out per 1M · Priced in EUR EST Oct 2026 | — | — | — | 131K | — |
Frontiere AI — Frequently Asked Questions (FAQs)
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Full comparison tableFrontiere AI LLM pricing overview
Frontiere AI is an inference API provider that hosts open-weight and third-party large language models. Frontiere AI is an EU sovereign AI gateway routing requests to OVHcloud, Scaleway, Mistral, and AKI.IO infrastructure. Each model carries a per-model jurisdiction label so customers know exactly where their data is processed. Prices are in EUR per 100k tokens, VAT included, with a EUR 10 minimum top-up. Suited for European enterprises with GDPR and data residency requirements. Common use cases include GDPR-compliant workloads, EU data residency, European enterprise AI. Headquartered in EU, founded 2024. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Frontiere AI vs other LLM providers
Frontiere AI competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. EU sovereign AI gateway with per-model jurisdiction labels, routing to OVHcloud, Scaleway, Mistral, and AKI.IO. Use the LLM provider comparison tool to see Frontiere AI token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Frontiere AI?
Frontiere AI stands out because: EU sovereign AI gateway with per-model jurisdiction labels, routing to OVHcloud, Scaleway, Mistral, and AKI.IO.. The API currently offers 3 models, spanning 2 advanced, 1 efficient tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Frontiere AI token pricing
Frontiere AI charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. Prices shown are sourced from Frontiere AI's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Frontiere AI context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Frontiere AI's largest context window is 131K tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Frontiere AI makes sense
Managed inference APIs like Frontiere AI eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Frontiere AI API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Frontiere AI token price data is available in the LLM price history charts.
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