Moonshot Kimi k2vsKimi
Moonshot AI vs Moonshot AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Moonshot Kimi k2 | Kimi |
|---|---|---|
| Provider | Moonshot AI | |
| Arena Rank | #8 | — |
| Context Window | 131K | 2M |
| Input Pricing | $0.55/1M tokens | Undisclosed/1M tokens |
| Output Pricing | $2.20/1M tokens | Undisclosed/1M tokens |
| Parameters | 1T MoE | Undisclosed |
| Open Source | Yes | No |
| Best For | Coding, agentic tasks, reasoning | Ultra-long documents, research, analysis |
| Release Date | Jul 1, 2025 | Mar 18, 2024 |
Moonshot Kimi k2
Moonshot Kimi k2 is a massive open-source model with 1 trillion mixture-of-experts parameters, making it one of the largest openly available AI models. Developed by Chinese AI startup Moonshot AI (creators of the popular Kimi chatbot), it rivals frontier proprietary models on coding and agentic benchmarks while being freely accessible. The model uses an efficient MoE architecture where only a fraction of parameters activate per token, keeping inference costs manageable despite its enormous size. Kimi k2 excels at code generation, tool use, and multi-step reasoning tasks. Its release represents a significant milestone in open-source AI, demonstrating that the community can produce models competitive with the largest proprietary systems.
Kimi
Kimi, developed by Moonshot AI, is a proprietary model with a 2 million token context window, one of the largest available from any AI provider. The model specializes in processing extremely long documents, research papers, entire books, and extensive codebases in a single request. Its massive context window enables use cases like comprehensive literature reviews, full-repository code analysis, and multi-document legal review that would require multiple passes with shorter-context models. Kimi powers Moonshot AI's consumer chatbot of the same name, which has gained significant traction in the Chinese market. The model handles Chinese and English with strong bilingual capabilities. Its extreme context length positions it for research-intensive and document-heavy enterprise applications where processing large volumes of text without chunking or summarization loss is critical.
View Moonshot AI profile →Key Differences: Moonshot Kimi k2 vs Kimi
Kimi supports a larger context window (2M), allowing it to process longer documents in a single request.
Moonshot Kimi k2 is open-source (free to self-host and fine-tune) while Kimi is proprietary (API-only access).
When to use Moonshot Kimi k2
- +You need to self-host or fine-tune the model
- +Your use case involves coding, agentic tasks, reasoning
When to use Kimi
- +You need to process long documents (2M context)
- +You prefer a managed API without infrastructure overhead
- +Your use case involves ultra-long documents, research, analysis
The Verdict
Moonshot Kimi k2 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for coding, agentic tasks, reasoning, though Kimi holds an edge in ultra-long documents, research, analysis.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages