ERNIE 4.0 vs Kimi K2.5
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 Kimi K2.5.
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.
Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
Technical Specifications
| Specification | ERNIE 4.0 | Kimi K2.5 |
|---|---|---|
| Provider | Baidu | Moonshot AI |
| Context Window | 128,000 tokens | 262,144 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 | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-30 | 2026-01-27 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.0
$1.20
Kimi K2.5
$0.38
Output Price per Million Tokens
ERNIE 4.0
$2.40
Kimi K2.5
$2.02
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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
Kimi K2.5 Quirks & Gotchas
No developer gotchas reported.