Model Comparison
DeepSeek R1 Distill Qwen 14B vs Kimi K2 Instruct
Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (AIME 2024), while Kimi K2 Instruct is better at 2 benchmarks (GPQA, MATH-500).
Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Kimi K2 Instruct has 985.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 6656.8% larger.
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).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Kimi K2 Instruct was released on 2025-07-11.
Kimi K2 Instruct is 6 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.3 years ago
Jul 11, 2025
9 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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FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Kimi K2 Instruct.