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ERNIE 4.0 vs o4 Mini High

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for ERNIE 4.0 and o4 Mini High.

Baidu

ERNIE 4.0

ERNIE 4.0 (文心一言 4.0) is Baidu's most advanced large language model, representing the culmination of Baidu's decades of search and NLP expertise. Built on Baidu's proprietary knowledge-enhanced pre-training architecture, ERNIE 4.0 integrates deep understanding of Chinese language, culture, and domain-specific knowledge. It achieves GPT-4-class performance on comprehensive Chinese-language benchmarks spanning language understanding, reasoning, mathematics, and code generation. ERNIE 4.0 powers Baidu's Wenxin Yiyan consumer chatbot and is available via Baidu AI Cloud API for enterprise integrations.

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OpenAI

o4 Mini High

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

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Technical Specifications

SpecificationERNIE 4.0o4 Mini High
ProviderBaiduOpenAI
Context Window128,000 tokens200,000 tokens
Agent Suitability87/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-302025-04-16

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.0

$1.20

o4 Mini High

$1.10

Output Price per Million Tokens

ERNIE 4.0

$2.40

o4 Mini High

$4.40

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

ERNIE 4.0 Quirks & Gotchas

  • β–ΈSuperior Chinese-language understanding β€” best-in-class for China-market applications
  • β–ΈAPI requires Baidu Cloud account with Chinese phone verification

o4 Mini High Quirks & Gotchas

No developer gotchas reported.