Model Comparison

Claude 3.5 Haiku vs Kimi K2 Base

Kimi K2 Base significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Claude 3.5 Haiku outperforms in 0 benchmarks, while Kimi K2 Base is better at 3 benchmarks (GPQA, MATH, MMLU-Pro).

Kimi K2 Base significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 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 3.5 Haiku

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 9 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.5 years ago

Kimi K2 Base

Jul 11, 2025

9 months ago

8mo 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)
Moonshot AI
Has open weights
Higher GPQA score (48.1% vs 41.6%)
Higher MATH score (70.2% vs 69.4%)
Higher MMLU-Pro score (69.2% vs 65.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Claude 3.5 Haiku vs Kimi K2 Base

Kimi K2 Base significantly outperforms across most benchmarks. Claude 3.5 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.
Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.
Claude 3.5 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.
Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.5 Haiku is developed by Anthropic and Kimi K2 Base is developed by Moonshot AI.