Compute Comparison
vs
All providers →

Baidu ERNIE vs HAI by HCloud: Token Pricing, Speed & Intelligence

Full comparison of Baidu ERNIE 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.

Baidu ERNIE

ERNIE 5 — Baidu's frontier Chinese-English bilingual LLM API

Baidu ERNIE is the LLM API from Baidu, China's largest search company. The ERNIE 5 series includes ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier), both optimised for Chinese-English bilingual tasks, knowledge retrieval, and enterprise applications. Pricing is in USD via the international API.

Chinese NLPBilingual applicationsKnowledge retrievalEnterprise chat
Proprietary models

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

Key metric comparison

Cheapest input ($/1M)

—

—

Cheapest output ($/1M)

—

—

Peak throughput

—

—

Best latency (TTFT)

—

—

Intelligence score

—

—

Context window

—

—

Live token pricing

Strengths and weaknesses

Baidu ERNIE

Strong Chinese-English bilingual performance — best-in-class for Chinese language tasks
Deep integration with Baidu Search knowledge graph
ERNIE-5.1 at $0.56/$2.53 per 1M tokens is competitive for a frontier-tier bilingual model
Enterprise-grade reliability backed by Baidu's infrastructure
Primarily optimised for Chinese — English performance trails frontier Western models
Limited ecosystem outside China; fewer third-party integrations
Documentation and support primarily in Chinese

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

Baidu ERNIE

ERNIE 5 is the leading Chinese-English bilingual LLM API, backed by Baidu's search knowledge graph — the go-to choice for applications targeting Chinese-language users.

HAI by HCloud

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

Frequently asked questions

Baidu ERNIE FAQs

What is ERNIE?

ERNIE (Enhanced Representation through Knowledge Integration) is Baidu's LLM series. ERNIE 5 is the current generation, with ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier) available via the Wenxin Qianfan API.

How much does the ERNIE API cost?

ERNIE-5.1 is $0.56/$2.53 per 1M input/output tokens. ERNIE-5.0 is $1.40/$5.60 per 1M tokens. See the Baidu Cloud pricing page for current rates.

Is ERNIE good for English tasks?

ERNIE 5 handles English competently but is primarily optimised for Chinese. For English-only workloads, frontier Western models typically outperform ERNIE. For Chinese or bilingual Chinese-English tasks, ERNIE is among the strongest options available.

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

Baidu ERNIE — ERNIE 5 — Baidu's frontier Chinese-English bilingual LLM API

Baidu ERNIE is the LLM API from Baidu, China's largest search company. The ERNIE 5 series includes ERNIE-5.1 (balanced) and ERNIE-5.0 (frontier), both optimised for Chinese-English bilingual tasks, knowledge retrieval, and enterprise applications. Pricing is in USD via the international API.

ERNIE 5 is the leading Chinese-English bilingual LLM API, backed by Baidu's search knowledge graph — the go-to choice for applications targeting Chinese-language users.

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

Baidu ERNIE

  • Strong Chinese-English bilingual performance — best-in-class for Chinese language tasks
  • Deep integration with Baidu Search knowledge graph
  • ERNIE-5.1 at $0.56/$2.53 per 1M tokens is competitive for a frontier-tier bilingual model
  • Primarily optimised for Chinese — English performance trails frontier Western models
  • Limited ecosystem outside China; fewer third-party integrations

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

Baidu ERNIE

  • Primarily optimised for Chinese — English performance trails frontier Western models
  • Limited ecosystem outside China; fewer third-party integrations
  • Documentation and support primarily in Chinese

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

Baidu ERNIE is a frontier lab, founded in 2000. HAI by HCloud is a inference api, founded in 2024. Baidu ERNIE as a frontier lab trains and serves its own proprietary models. HAI by HCloud as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Baidu ERNIE if you need Chinese NLP. 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.