Command R+ vs ERNIE 4.0
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 Command R+ and ERNIE 4.0.
Command R+
Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.
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.
Technical Specifications
| Specification | Command R+ | ERNIE 4.0 |
|---|---|---|
| Provider | Cohere | Baidu |
| Context Window | 128,000 tokens | 128,000 tokens |
| Agent Suitability | 86/100 | 87/100 |
| Time to First Token (TTFT) | 350 ms | 380 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-04-04 | 2025-08-30 |
API Pricing Comparison
Input Price per Million Tokens
Command R+
$2.50
ERNIE 4.0
$1.20
Output Price per Million Tokens
Command R+
$10.00
ERNIE 4.0
$2.40
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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.
Command R+ Quirks & Gotchas
- βΈOptimized for RAG workflows β best enterprise document search model
- βΈTool calling requires explicit step definitions in Cohere's tool-use format
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