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IONOS AI Model HubvsModal

IONOS AI Model Hub vs Modal: Token Pricing, Speed & Intelligence

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

IONOS AI Model Hub

Managed open-weight inference from IONOS Cloud

IONOS AI Model Hub is a managed LLM inference service from IONOS Cloud, offering access to open-weight models including Qwen, Mistral, Llama, and GPT OSS families via an OpenAI-compatible API, with pricing denominated in EUR (net of tax).

ChatOpen-weight inferenceEuropean cloud
Open-weight hostHosts open weights

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.

InferenceCost-efficiencyOpen-sourceChat
Open-weight hostHosts open weights

Key metric comparison

IONOS AI Model Hub
Modal
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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Live token pricing

Strengths and weaknesses

IONOS AI Model Hub

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
Cached-input pricing available on every model in the catalog
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

Key differentiators

Modal

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

IONOS AI Model Hub FAQs

What is IONOS AI Model Hub?

IONOS AI Model Hub is a managed LLM inference service from IONOS Cloud. It provides access to open-weight models via an OpenAI-compatible API. See cloud.ionos.com/managed/ai-model-hub for details.

What currency does IONOS AI Model Hub use for pricing?

Prices are denominated in EUR, net of tax. See the IONOS Cloud price list at docs.ionos.com for current rates.

What models are available on IONOS AI Model Hub?

Available models include families from Qwen, Mistral, Llama, and GPT OSS. See docs.ionos.com/cloud/ai/ai-model-hub for the current catalog.

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

IONOS AI Model Hub

Provider page
Website
PricingDocs

Modal

Provider page
Website
PricingDocs

IONOS AI Model Hub — Managed open-weight inference from IONOS Cloud

IONOS AI Model Hub is a managed LLM inference service from IONOS Cloud, offering access to open-weight models including Qwen, Mistral, Llama, and GPT OSS families via an OpenAI-compatible API, with pricing denominated in EUR (net of tax).

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

IONOS AI Model Hub

    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

    IONOS AI Model Hub

      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

      IONOS AI Model Hub is a cloud. 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 IONOS AI Model Hub if you need . 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.