Model Comparison

Claude Haiku 4.5 vs Kimi K2 Base

Claude Haiku 4.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Kimi K2 Base is better at 0 benchmarks.

Claude Haiku 4.5 significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Haiku 4.5 specifies input context (200,000 tokens). Only Claude Haiku 4.5 specifies output context (64,000 tokens).

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Haiku 4.5 supports multimodal inputs, whereas Kimi K2 Base does not.

Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 4.5

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Kimi K2 Base uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 4.5

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Kimi K2 Base was released on 2025-07-11.

Claude Haiku 4.5 is 3 months newer than Kimi K2 Base.

Claude Haiku 4.5

Oct 15, 2025

7 months ago

3mo newer
Kimi K2 Base

Jul 11, 2025

10 months ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Kimi K2 Base's cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Kimi K2 Base's cutoff date.

Claude Haiku 4.5

Feb 2025

Kimi K2 Base

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Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (73.0% vs 48.1%)
Moonshot AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Haiku 4.5
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Claude Haiku 4.5 vs Kimi K2 Base.

Which is better, Claude Haiku 4.5 or Kimi K2 Base?

Claude Haiku 4.5 significantly outperforms across most benchmarks. Claude Haiku 4.5 is made by Anthropic and Kimi K2 Base is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Haiku 4.5 compare to Kimi K2 Base in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for Claude Haiku 4.5 and Kimi K2 Base?

Claude Haiku 4.5 supports 200K tokens and Kimi K2 Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 4.5 and Kimi K2 Base?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Kimi K2 Base?

Claude Haiku 4.5 is developed by Anthropic and Kimi K2 Base is developed by Moonshot AI.