HAI by HCloud vs Tencent: Token Pricing, Speed & Intelligence
Full comparison of HAI by HCloud and Tencent — 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.
Tencent
Hunyuan T1 reasoning model and Hunyuan Turbo — competitive frontier pricing
Tencent offers the Hunyuan series of large language models via its cloud platform. The 2026 lineup includes Hunyuan T1 (frontier reasoning model) and Hunyuan Turbo (fast, cost-efficient tier). Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks at competitive pricing.
Key metric comparison
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Live token pricing
Strengths and weaknesses
HAI by HCloud
Tencent
Key differentiators
Japan-based inference with zero data retention and a TEE-secured Kimi K3 variant for confidential workloads.
Hunyuan T1 brings frontier reasoning capability to the Tencent Cloud ecosystem, while Hunyuan Turbo offers a 262K context window at competitive pricing for long-context 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.
Tencent FAQs
What is Tencent Hunyuan T1?
Hunyuan T1 is Tencent's frontier reasoning model, designed for complex multi-step tasks including coding, math, and logical reasoning. It succeeds the hy3 generation with improved benchmark scores and is optimised for both Chinese and English.
What is Hunyuan Turbo?
Hunyuan Turbo is Tencent's fast, cost-efficient inference model with a 262K context window, designed for long-context workloads at competitive pricing. Check cloud.tencent.com/document/product/1729/97731 for current rates.
Is Tencent Hunyuan available internationally?
Yes. The Hunyuan API is accessible globally via Tencent Cloud, though latency may be higher outside Asia-Pacific regions. Models are available via the Tencent Cloud console and API.
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.
Tencent — Hunyuan T1 reasoning model and Hunyuan Turbo — competitive frontier pricing
Tencent offers the Hunyuan series of large language models via its cloud platform. The 2026 lineup includes Hunyuan T1 (frontier reasoning model) and Hunyuan Turbo (fast, cost-efficient tier). Hunyuan models are optimised for Chinese and multilingual tasks, with strong performance on coding and reasoning benchmarks at competitive pricing.
Hunyuan T1 brings frontier reasoning capability to the Tencent Cloud ecosystem, while Hunyuan Turbo offers a 262K context window at competitive pricing for long-context workloads.
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
Tencent
- Hunyuan T1 reasoning model for complex multi-step tasks
- Hunyuan Turbo for fast, cost-efficient inference
- Competitive pricing
- Primarily targets Chinese market
- Smaller international ecosystem
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
Tencent
- Primarily targets Chinese market
- Smaller international ecosystem
- Less third-party tooling than OpenAI
Provider category context
HAI by HCloud is a inference api, founded in 2024. Tencent is a frontier lab, founded in 2023. HAI by HCloud as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Tencent as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose HAI by HCloud if you need Privacy-sensitive workloads. Choose Tencent if you need hunyuan t1 reasoning model for complex multi-step tasks. 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.