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Moonshot Kimi k2vsKimi

Moonshot AI vs Moonshot AI — Side-by-side model comparison

Moonshot Kimi k2 leads 4/5 categories

Head-to-Head Comparison

MetricMoonshot Kimi k2Kimi
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

1

Kimi supports a larger context window (2M), allowing it to process longer documents in a single request.

2

Moonshot Kimi k2 is open-source (free to self-host and fine-tune) while Kimi is proprietary (API-only access).

M

When to use Moonshot Kimi k2

  • +You need to self-host or fine-tune the model
  • +Your use case involves coding, agentic tasks, reasoning
View full Moonshot Kimi k2 specs →
K

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
View full Kimi specs →

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

Frequently Asked Questions

Which is better, Moonshot Kimi k2 or Kimi?
In our head-to-head comparison, Moonshot Kimi k2 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Moonshot Kimi k2 excels at coding, agentic tasks, reasoning, while Kimi is better suited for ultra-long documents, research, analysis. The best choice depends on your specific requirements, budget, and use case.
How does Moonshot Kimi k2 pricing compare to Kimi?
Moonshot Kimi k2 charges $0.55 per 1M input tokens and $2.20 per 1M output tokens. Kimi charges Undisclosed per 1M input tokens and Undisclosed per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Moonshot Kimi k2 and Kimi?
Moonshot Kimi k2 supports a 131K token context window, while Kimi supports 2M tokens. Kimi can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Moonshot Kimi k2 or Kimi for free?
Moonshot Kimi k2 is a paid API model starting at $0.55 per 1M input tokens. Kimi is a paid API model starting at Undisclosed per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Moonshot Kimi k2 or Kimi?
Moonshot Kimi k2 holds arena rank #8, while Kimi's rank is not yet available. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Moonshot Kimi k2 or Kimi better for coding?
Moonshot Kimi k2 is specifically optimized for coding tasks. Kimi's primary strength is ultra-long documents, research, analysis. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.