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HAI by HCloud vs IONOS AI Model Hub: Token Pricing, Speed & Intelligence

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

HAI by HCloud

Japan-based inference — zero data retention, JPY pricing, TEE-secured Kimi K3

HAI is HCloud's LLM inference platform based in Japan, offering DeepSeek, GLM-5.3, Kimi K3, and Gemma 4 models with a zero data retention policy. Prices are in JPY per 1M tokens, tax included. The Kimi K3 (TEE) variant runs in a Trusted Execution Environment for confidential inference. Suited for Japanese enterprises and APAC workloads requiring data residency.

Privacy-sensitive workloadsAPAC / Japan deploymentsConfidential inference
Open-weight hostHosts open weights

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

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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Live token pricing

Strengths and weaknesses

HAI by HCloud

Zero data retention policy — suitable for privacy-sensitive workloads
Japan-based infrastructure — low latency for APAC users
TEE-secured Kimi K3 variant for confidential inference
JPY pricing — no currency conversion risk for Japanese customers
JPY pricing excluded from USD cross-provider comparisons
Smaller catalog vs global inference hubs
Newer provider — limited third-party benchmark transparency

Key differentiators

HAI by HCloud

Japan-based inference with zero data retention and a TEE-secured Kimi K3 variant for confidential workloads.

Frequently asked questions

HAI by HCloud FAQs

What is HAI by HCloud?

HAI is HCloud's LLM inference API based in Japan. It offers DeepSeek V4.1 Flash, GLM-5.3, Kimi K3 (TEE), and Gemma 4 31B with a zero data retention policy and JPY pricing. See hai.hcloud.ltd/pricing for current rates.

What is the Kimi K3 TEE variant?

The Kimi K3 (TEE) variant runs inside a Trusted Execution Environment, providing hardware-level isolation for confidential inference. This is suited for workloads where prompt and response data must not be accessible to the infrastructure operator.

Does HAI retain my data?

No. HAI operates a zero data retention policy — prompts and responses are not stored after the request completes.

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.

Provider resources

HAI by HCloud — Japan-based inference — zero data retention, JPY pricing, TEE-secured Kimi K3

HAI is HCloud's LLM inference platform based in Japan, offering DeepSeek, GLM-5.3, Kimi K3, and Gemma 4 models with a zero data retention policy. Prices are in JPY per 1M tokens, tax included. The Kimi K3 (TEE) variant runs in a Trusted Execution Environment for confidential inference. Suited for Japanese enterprises and APAC workloads requiring data residency.

Japan-based inference with zero data retention and a TEE-secured Kimi K3 variant for confidential workloads.

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).

Key strengths compared

HAI by HCloud

  • Zero data retention policy — suitable for privacy-sensitive workloads
  • Japan-based infrastructure — low latency for APAC users
  • TEE-secured Kimi K3 variant for confidential inference
  • JPY pricing excluded from USD cross-provider comparisons
  • Smaller catalog vs global inference hubs

IONOS AI Model Hub

    Key weaknesses compared

    HAI by HCloud

    • JPY pricing excluded from USD cross-provider comparisons
    • Smaller catalog vs global inference hubs
    • Newer provider — limited third-party benchmark transparency

    IONOS AI Model Hub

      Provider category context

      HAI by HCloud is a inference api, founded in 2024. IONOS AI Model Hub is a cloud. 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 HAI by HCloud if you need Privacy-sensitive workloads. Choose IONOS AI Model Hub if you need . 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.