ERNIE 4.0 vs GPT-5
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-5.
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.
GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
Technical Specifications
| Specification | ERNIE 4.0 | GPT-5 |
|---|---|---|
| Provider | Baidu | OpenAI |
| Context Window | 128,000 tokens | 400,000 tokens |
| Agent Suitability | 87/100 | 92/100 |
| Time to First Token (TTFT) | 380 ms | 320 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-30 | 2025-08-07 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
GPT-5
$1.25
Output Price per Million Tokens
ERNIE 4.0
$2.40
GPT-5
$10.00
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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
- ▸Superior Chinese-language understanding — best-in-class for China-market applications
- ▸API requires Baidu Cloud account with Chinese phone verification
GPT-5 Quirks & Gotchas
- ▸Reliable all-rounder — use as default for most production workflows
- ▸Not recommended for advanced reasoning chains — use o3-mini instead