ERNIE 5.0 vs Kimi K2 Instruct Comparison
Comparing ERNIE 5.0 and Kimi K2 Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
ERNIE 5.0 outperforms in 5 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, MMLU-Pro, SimpleQA), while Kimi K2 Instruct is better at 0 benchmarks.
ERNIE 5.0 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).
Input Capabilities
Supported data types and modalities
ERNIE 5.0 supports multimodal inputs, whereas Kimi K2 Instruct does not.
ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 5.0
Kimi K2 Instruct
License
Usage and distribution terms
ERNIE 5.0 is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
ERNIE 5.0 was released on 2025-01-22, while Kimi K2 Instruct was released on 2025-07-11.
Kimi K2 Instruct is 6 months newer than ERNIE 5.0.
Jan 22, 2025
1.1 years ago
Jul 11, 2025
8 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Kimi K2 Instruct
View detailsMoonshot AI
Detailed Comparison
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