ERNIE 4.0 vs Qwen3 32B
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 Qwen3 32B.
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.
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | ERNIE 4.0 | Qwen3 32B |
|---|---|---|
| Provider | Baidu | Alibaba |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | 87/100 | N/A |
| Time to First Token (TTFT) | 380 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-30 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
Qwen3 32B
$0.08
Output Price per Million Tokens
ERNIE 4.0
$2.40
Qwen3 32B
$0.28
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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
Qwen3 32B Quirks & Gotchas
No developer gotchas reported.