fal.ai vs HAI by HCloud: Token Pricing, Speed & Intelligence
Full comparison of fal.ai and HAI by HCloud — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
fal.ai
Sub-second image generation — FLUX 1.1 Pro Ultra, video, audio, and B200/H200 GPU compute
fal.ai is a serverless inference platform specialising in image, video, and audio generation models. Known for sub-second cold starts and competitive pricing on FLUX 1.1 Pro Ultra, Kling v2.1, and Stable Diffusion. The 2026 platform has expanded to include B200 GPU compute alongside H200, and added real-time video generation with streaming output. A leading choice for production AI creative tools.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
fal.ai
HAI by HCloud
Key differentiators
The fastest serverless platform for image and video generation — sub-second cold starts on FLUX 1.1 Pro Ultra and Kling v2.1, with B200/H200 GPU compute for custom workloads.
Japan-based inference with zero data retention and a TEE-secured Kimi K3 variant for confidential workloads.
Frequently asked questions
fal.ai FAQs
What models does fal.ai support in 2026?
fal.ai hosts FLUX 1.1 Pro Ultra, FLUX.1 Dev/Schnell, Kling v2.1 (video), Stable Diffusion XL, Whisper, and many other image, video, and audio models. It also supports text models via its serverless GPU platform.
How fast is fal.ai for image generation?
fal.ai delivers sub-second cold starts for popular models like FLUX — typically under 500ms for FLUX.1 Schnell. This makes it a strong option for real-time image generation in production applications.
Does fal.ai offer GPU compute?
Yes. fal.ai offers B200 and H200 GPU compute for custom model deployments alongside its managed inference API, suitable for teams that need both managed inference and raw GPU access.
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.
Provider resources
fal.ai — Sub-second image generation — FLUX 1.1 Pro Ultra, video, audio, and B200/H200 GPU compute
fal.ai is a serverless inference platform specialising in image, video, and audio generation models. Known for sub-second cold starts and competitive pricing on FLUX 1.1 Pro Ultra, Kling v2.1, and Stable Diffusion. The 2026 platform has expanded to include B200 GPU compute alongside H200, and added real-time video generation with streaming output. A leading choice for production AI creative tools.
The fastest serverless platform for image and video generation — sub-second cold starts on FLUX 1.1 Pro Ultra and Kling v2.1, with B200/H200 GPU compute for custom workloads.
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.
Key strengths compared
fal.ai
- Sub-second cold starts for FLUX and Stable Diffusion — very fast image generation
- FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
- B200 and H200 GPU compute for custom deployments
- Primarily focused on image/video/audio — less suited for text LLMs
- Smaller text model catalog than dedicated LLM providers
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
Key weaknesses compared
fal.ai
- Primarily focused on image/video/audio — less suited for text LLMs
- Smaller text model catalog than dedicated LLM providers
- Less enterprise support than larger platforms
HAI by HCloud
- JPY pricing excluded from USD cross-provider comparisons
- Smaller catalog vs global inference hubs
- Newer provider — limited third-party benchmark transparency
Provider category context
fal.ai is a inference api, founded in 2022. HAI by HCloud 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 fal.ai and HAI by HCloud 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.