ERNIE 4.0 vs GPT-4.1 Mini
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 GPT-4.1 Mini.
ERNIE 4.0
ERNIE 4.0 (ζεΏδΈθ¨ 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.
GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
Technical Specifications
| Specification | ERNIE 4.0 | GPT-4.1 Mini |
|---|---|---|
| Provider | Baidu | OpenAI |
| Context Window | 128,000 tokens | 1,047,576 tokens |
| Agent Suitability | 87/100 | N/A |
| Time to First Token (TTFT) | 380 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-30 | 2025-04-14 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
GPT-4.1 Mini
$0.40
Output Price per Million Tokens
ERNIE 4.0
$2.40
GPT-4.1 Mini
$1.60
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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
- βΈSuperior Chinese-language understanding β best-in-class for China-market applications
- βΈAPI requires Baidu Cloud account with Chinese phone verification
GPT-4.1 Mini Quirks & Gotchas
No developer gotchas reported.