Model Comparison
DeepSeek-V3 0324 vs Kimi K2 InstructWhich is better in 2026?
Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek-V3 0324 is 1.0x cheaper per token.
Verdict: DeepSeek-V3 0324 vs Kimi K2 Instruct — which is better?
DeepSeek-V3 0324 (by DeepSeek) and Kimi K2 Instruct (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-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while Kimi K2 Instruct is better at 3 benchmarks (AIME 2024, GPQA, MATH-500). Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
Kimi K2 Instruct also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you want predictable pricing at $0.28/M input and $1.14/M output
Choose Kimi K2 Instruct if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while Kimi K2 Instruct is better at 3 benchmarks (AIME 2024, GPQA, MATH-500).
Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.8x cheaper than Kimi K2 Instruct ($0.50/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.3x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
In conclusion, Kimi K2 Instruct is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 Instruct has 329.0B more parameters than DeepSeek-V3 0324, making it 49.0% larger.
Context Window
Maximum input and output token capacity
Kimi K2 Instruct accepts 200,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Kimi K2 Instruct was released on 2025-07-11.
Kimi K2 Instruct is 4 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.3 years ago
Jul 11, 2025
11 months ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 0324 is available from Novita. Kimi K2 Instruct is available from Fireworks, Novita.
DeepSeek-V3 0324
Kimi K2 Instruct
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Kimi K2 Instruct
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Kimi K2 Instruct.