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Baseten vs Frontiere AI: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Frontiere AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Baseten

Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection

Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

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.

GDPR-compliant workloadsEU data residencyEuropean enterprise AI
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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131K

Live token pricing

Basetenlive pricing

No live pricing data available.

Frontiere AIlive pricing

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ModelInputOutput
Mistral Large 4$2.51EST Oct 2026$7.72
GLM-5.3$3.02EST Oct 2026$9.24
DeepSeek V4 Flash$0.67EST Oct 2026$1.34

Strengths and weaknesses

Baseten

Full control over model serving: custom preprocessing, postprocessing, and business logic
Bring your own weights — deploy any HuggingFace model or custom fine-tune
GPU selection: H100, A100, A10G, T4 with per-second billing
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
More setup required than managed APIs — not a drop-in OpenAI replacement
Cold starts on scale-to-zero deployments (configurable warm pool available)
Pricing is higher than shared inference APIs for low-volume workloads

Frontiere AI

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

Key differentiators

Baseten

The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.

Frontiere AI

EU sovereign AI gateway with per-model jurisdiction labels, routing to OVHcloud, Scaleway, Mistral, and AKI.IO.

Frequently asked questions

Baseten FAQs

What is Baseten?

Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.

How does Baseten differ from Together AI or Replicate?

Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.

What GPUs does Baseten support?

Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.

Frontiere AI FAQs

What is Frontiere AI?

Frontiere AI is an EU sovereign AI gateway that routes inference requests to European infrastructure (OVHcloud, Scaleway, Mistral, AKI.IO). Each model carries a jurisdiction label. Prices are in EUR per 100k tokens, VAT included. See getfrontiereai.eu for current rates.

Is Frontiere AI GDPR-compliant?

Frontiere AI routes all requests to EU-based infrastructure and provides per-model jurisdiction labels. This is designed to support GDPR and EU data residency requirements, though customers should verify their specific compliance needs.

Provider resources

Key strengths compared

Baseten

  • Full control over model serving: custom preprocessing, postprocessing, and business logic
  • Bring your own weights — deploy any HuggingFace model or custom fine-tune
  • GPU selection: H100, A100, A10G, T4 with per-second billing
  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)

Frontiere AI

  • 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
  • EUR pricing excluded from USD cross-provider comparisons
  • Smaller model catalog vs global inference hubs

Key weaknesses compared

Baseten

  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)
  • Pricing is higher than shared inference APIs for low-volume workloads

Frontiere AI

  • 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

Provider category context

Baseten is a inference api, founded in 2019. Frontiere AI is a inference api, founded in 2024. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Baseten and Frontiere AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.