ERNIE 4.0 vs MiniMax M1
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 MiniMax M1.
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.
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
| Specification | ERNIE 4.0 | MiniMax M1 |
|---|---|---|
| Provider | Baidu | MiniMax |
| Context Window | 128,000 tokens | 1,000,000 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 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
MiniMax M1
$0.40
Output Price per Million Tokens
ERNIE 4.0
$2.40
MiniMax M1
$2.20
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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
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.