Amazon Bedrock vs HAI by HCloud: Token Pricing, Speed & Intelligence
Full comparison of Amazon Bedrock 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.
Amazon Bedrock
AWS-native LLM access — Nova, Claude, Llama, DeepSeek, MiniMax, Kimi and more
Amazon Bedrock is AWS's managed LLM service, providing access to Amazon's own Nova models alongside third-party models from Anthropic, Meta, Mistral, and others. The 2026 catalog has expanded to include DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, and Writer Palmyra. It integrates natively with the AWS ecosystem including IAM, VPC, and CloudWatch, making it the default choice for teams already on AWS.
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
Amazon Bedrock
HAI by HCloud
Key differentiators
Run Claude, Llama, DeepSeek, and Amazon Nova within your own AWS VPC — data never leaves your account, with a broad third-party model catalog available through a single API.
Japan-based inference with zero data retention and a TEE-secured Kimi K3 variant for confidential workloads.
Frequently asked questions
Amazon Bedrock FAQs
What models are available on Amazon Bedrock in 2026?
Amazon Bedrock offers Amazon Nova (Micro, Lite, Pro), Anthropic Claude 5 family, Meta Llama 4, Mistral, Cohere, DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, Writer Palmyra, and others. The catalog varies by AWS region.
How does Amazon Bedrock pricing work?
Bedrock uses on-demand pricing per 1M tokens, similar to direct provider APIs. Provisioned Throughput is available for reserved capacity at a fixed hourly rate. Prices are generally comparable to or slightly above direct provider pricing.
Is Amazon Bedrock HIPAA-compliant?
Yes. Amazon Bedrock is covered under AWS's HIPAA BAA, making it suitable for healthcare applications that require HIPAA compliance. Data processed through Bedrock stays within your AWS account.
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
Amazon Bedrock — AWS-native LLM access — Nova, Claude, Llama, DeepSeek, MiniMax, Kimi and more
Amazon Bedrock is AWS's managed LLM service, providing access to Amazon's own Nova models alongside third-party models from Anthropic, Meta, Mistral, and others. The 2026 catalog has expanded to include DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, and Writer Palmyra. It integrates natively with the AWS ecosystem including IAM, VPC, and CloudWatch, making it the default choice for teams already on AWS.
Run Claude, Llama, DeepSeek, and Amazon Nova within your own AWS VPC — data never leaves your account, with a broad third-party model catalog available through a single API.
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
Amazon Bedrock
- Native AWS integration — IAM, VPC, CloudWatch, S3
- Expanded 2026 catalog: DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, Writer Palmyra
- Access to Claude, Llama, Mistral, and Amazon Nova via one API
- More complex setup than standalone inference APIs
- Pricing can be higher than direct provider APIs
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
Amazon Bedrock
- More complex setup than standalone inference APIs
- Pricing can be higher than direct provider APIs
- Latency overhead from AWS abstraction layer
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
Amazon Bedrock is a cloud, founded in 2023. HAI by HCloud is a inference api, founded in 2024. 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 Amazon Bedrock if you need native aws integration — iam, vpc, cloudwatch, s3. Choose HAI by HCloud if you need Privacy-sensitive workloads. 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.