Model Comparison

Claude 3 Haiku vs Kimi K2 Base

Kimi K2 Base significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3 Haiku outperforms in 0 benchmarks, while Kimi K2 Base is better at 4 benchmarks (GPQA, GSM8k, MATH, MMLU).

Kimi K2 Base significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Haiku supports multimodal inputs, whereas Kimi K2 Base does not.

Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3 Haiku

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku 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 3 Haiku

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 16 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.2 years ago

Kimi K2 Base

Jul 11, 2025

10 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Moonshot AI
Has open weights
Higher GPQA score (48.1% vs 33.3%)
Higher GSM8k score (92.1% vs 88.9%)
Higher MATH score (70.2% vs 38.9%)
Higher MMLU score (87.8% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Claude 3 Haiku vs Kimi K2 Base.

Which is better, Claude 3 Haiku or Kimi K2 Base?

Kimi K2 Base significantly outperforms across most benchmarks. Claude 3 Haiku 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 3 Haiku compare to Kimi K2 Base in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. 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 3 Haiku and Kimi K2 Base?

Claude 3 Haiku 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 3 Haiku 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 3 Haiku and Kimi K2 Base?

Claude 3 Haiku is developed by Anthropic and Kimi K2 Base is developed by Moonshot AI.