Azure AI Foundry vs Modal: Token Pricing, Speed & Intelligence
Full comparison of Azure AI Foundry and Modal — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Azure AI Foundry
Microsoft's unified AI platform — GPT-6, Claude 5, Llama 4, and 1,800+ models via Azure
Azure AI Foundry (formerly Azure OpenAI Service + Azure AI Studio) is Microsoft's unified platform for deploying and managing AI models at enterprise scale. It provides access to OpenAI's latest models (GPT-6, GPT-5.6 series), Anthropic Claude 5, Meta Llama 4, Mistral, Phi-4, and over 1,800 models from the Azure AI model catalog. Foundry adds enterprise features including private networking, Azure Active Directory integration, content filtering, and compliance certifications (SOC 2, ISO 27001, HIPAA).
Modal
Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Azure AI Foundry
Modal
Key differentiators
A platform combining GPT-6, Claude 5, and Llama 4 under a single enterprise contract with private networking, Azure AD auth, and HIPAA/FedRAMP compliance — suited for regulated industries.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Frequently asked questions
Azure AI Foundry FAQs
What is Azure AI Foundry?
Azure AI Foundry is Microsoft's unified AI platform combining Azure OpenAI Service and Azure AI Studio. It provides enterprise access to GPT-6, Claude 5, Llama 4, and 1,800+ models with private networking, Azure AD integration, and compliance certifications.
Does Azure AI Foundry support GPT-6?
Yes. Azure AI Foundry provides access to OpenAI's latest models including GPT-6 Astra and the GPT-5.6 series (Sol, Terra, Luna) under Azure enterprise SLAs with private networking.
How does Azure AI Foundry pricing compare to OpenAI directly?
Azure AI Foundry pricing for OpenAI models matches the direct OpenAI API pricing. The value add is enterprise features: private VNet, Azure AD, compliance certs, and a single Azure invoice — not a price discount.
Modal FAQs
What models does Modal offer on Shared Endpoints?
Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.
How much does Modal charge per 1M tokens?
Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.
Does Modal offer prompt caching?
Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.
Provider resources
Azure AI Foundry — Microsoft's unified AI platform — GPT-6, Claude 5, Llama 4, and 1,800+ models via Azure
Azure AI Foundry (formerly Azure OpenAI Service + Azure AI Studio) is Microsoft's unified platform for deploying and managing AI models at enterprise scale. It provides access to OpenAI's latest models (GPT-6, GPT-5.6 series), Anthropic Claude 5, Meta Llama 4, Mistral, Phi-4, and over 1,800 models from the Azure AI model catalog. Foundry adds enterprise features including private networking, Azure Active Directory integration, content filtering, and compliance certifications (SOC 2, ISO 27001, HIPAA).
A platform combining GPT-6, Claude 5, and Llama 4 under a single enterprise contract with private networking, Azure AD auth, and HIPAA/FedRAMP compliance — suited for regulated industries.
Modal — Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Key strengths compared
Azure AI Foundry
- Access to OpenAI GPT-6 and GPT-5.6 series with Azure enterprise SLAs
- Anthropic Claude 5, Meta Llama 4, Mistral, and 1,800+ models in one catalog
- Private networking via Azure Virtual Network — data never leaves your VNet
- More complex setup than direct OpenAI or Anthropic APIs
- Pricing matches or slightly exceeds direct API pricing — no discount for going through Azure
Modal
- Managed hardware and autoscaling — no infrastructure to operate
- Published per-token rates including cached-input pricing
- OpenAI-style per-token billing across all 10 models
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
Key weaknesses compared
Azure AI Foundry
- More complex setup than direct OpenAI or Anthropic APIs
- Pricing matches or slightly exceeds direct API pricing — no discount for going through Azure
- Model availability lags direct providers by weeks on new releases
Modal
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
- Prices are published rates re-read 2026-10-31, not continuously collected
Provider category context
Azure AI Foundry is a cloud, founded in 2019. Modal is a inference api. 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 Azure AI Foundry if you need access to openai gpt-6 and gpt-5.6 series with azure enterprise slas. Choose Modal if you need managed hardware and autoscaling — no infrastructure to operate. 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.