Model Comparison
DeepSeek R1 Zero vs Kimi K2 BaseWhich is better in 2026?
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Verdict: DeepSeek R1 Zero vs Kimi K2 Base — which is better?
DeepSeek R1 Zero (by DeepSeek) and Kimi K2 Base (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Kimi K2 Base is better at 0 benchmarks. DeepSeek R1 Zero significantly outperforms across most benchmarks.
Choose DeepSeek R1 Zero if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Choose Kimi K2 Base if…
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Kimi K2 Base is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Kimi K2 Base has 329.0B more parameters than DeepSeek R1 Zero, making it 49.0% larger.
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 Zero was released on 2025-01-20, while Kimi K2 Base was released on 2025-07-11.
Kimi K2 Base is 6 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.4 years ago
Jul 11, 2025
11 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
DeepSeek R1 Zero
View detailsDeepSeek
Kimi K2 Base
View detailsMoonshot AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Kimi K2 Base.