ERNIE 4.0 vs o1
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 o1.
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.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Technical Specifications
| Specification | ERNIE 4.0 | o1 |
|---|---|---|
| Provider | Baidu | OpenAI |
| Context Window | 128,000 tokens | 200,000 tokens |
| Agent Suitability | 87/100 | 88/100 |
| Time to First Token (TTFT) | 380 ms | 2500 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-30 | 2024-12-17 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
o1
$15.00
Output Price per Million Tokens
ERNIE 4.0
$2.40
o1
$60.00
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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
- βΈSuperior Chinese-language understanding β best-in-class for China-market applications
- βΈAPI requires Baidu Cloud account with Chinese phone verification
o1 Quirks & Gotchas
- βΈReasoning model β high latency by design, not for real-time use
- βΈBest for complex math/code reasoning where accuracy > speed
- βΈUse o3-mini when you need reasoning with lower latency