Model Comparison

Claude 3.5 Sonnet vs Kimi K2 Base

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude 3.5 Sonnet outperforms in 5 benchmarks (GPQA, GSM8k, MATH, MMLU, MMLU-Pro), while Kimi K2 Base is better at 0 benchmarks.

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

Sun Apr 19 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
Sun Apr 19 2026 • llm-stats.com
Anthropic
Claude 3.5 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAWS Bedrock
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

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

Anthropic
Claude 3.5 Sonnet
Input200,000 tokens
Output200,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.5 Sonnet supports multimodal inputs, whereas Kimi K2 Base does not.

Claude 3.5 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Sonnet

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.5 Sonnet 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 Sonnet

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Sonnet was released on 2024-06-21, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 13 months newer than Claude 3.5 Sonnet.

Claude 3.5 Sonnet

Jun 21, 2024

1.8 years ago

Kimi K2 Base

Jul 11, 2025

9 months ago

1.1yr 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
Higher GPQA score (59.4% vs 48.1%)
Higher GSM8k score (96.4% vs 92.1%)
Higher MATH score (71.1% vs 70.2%)
Higher MMLU score (90.4% vs 87.8%)
Higher MMLU-Pro score (76.1% vs 69.2%)
Moonshot AI
Has open weights
AnthropicClaude 3.5 Sonnet
Moonshot AIKimi K2 Base
Compare in Playground

Detailed Comparison

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

FAQ

Common questions about Claude 3.5 Sonnet vs Kimi K2 Base

Claude 3.5 Sonnet significantly outperforms across most benchmarks. Claude 3.5 Sonnet 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 Sonnet scores GSM8k: 96.4%, BIG-Bench Hard: 93.1%, HumanEval: 92.0%, MGSM: 91.6%, MMLU: 90.4%. 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 Sonnet 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 multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.5 Sonnet is developed by Anthropic and Kimi K2 Base is developed by Moonshot AI.