Model Comparison

Claude Sonnet 4.6 vs Kimi K2-Instruct-0905

Claude Sonnet 4.6 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude Sonnet 4.6 outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified, Tau2 Retail, Tau2 Telecom), while Kimi K2-Instruct-0905 is better at 0 benchmarks.

Claude Sonnet 4.6 significantly outperforms across most benchmarks.

Tue Apr 21 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
Tue Apr 21 2026 • llm-stats.com
Anthropic
Claude Sonnet 4.6
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Moonshot AI
Kimi K2-Instruct-0905
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 Sonnet 4.6 specifies input context (200,000 tokens). Only Claude Sonnet 4.6 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.6
Input200,000 tokens
Output64,000 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Sonnet 4.6 supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 4.6

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4.6 is licensed under a proprietary license, while Kimi K2-Instruct-0905 uses MIT.

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

Claude Sonnet 4.6

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.6 was released on 2026-02-17, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Claude Sonnet 4.6 is 6 months newer than Kimi K2-Instruct-0905.

Claude Sonnet 4.6

Feb 17, 2026

2 months ago

5mo newer
Kimi K2-Instruct-0905

Sep 5, 2025

7 months ago

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

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (89.9% vs 75.1%)
Higher Humanity's Last Exam score (49.0% vs 4.7%)
Higher SWE-Bench Verified score (79.6% vs 65.8%)
Higher Tau2 Retail score (91.7% vs 70.6%)
Higher Tau2 Telecom score (97.9% vs 65.8%)
Moonshot AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Sonnet 4.6
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Claude Sonnet 4.6 vs Kimi K2-Instruct-0905

Claude Sonnet 4.6 significantly outperforms across most benchmarks. Claude Sonnet 4.6 is made by Anthropic and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude Sonnet 4.6 scores Tau2 Telecom: 97.9%, Tau2 Retail: 91.7%, GPQA: 89.9%, MMMLU: 89.3%, SWE-Bench Verified: 79.6%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.
Claude Sonnet 4.6 supports 200K tokens and Kimi K2-Instruct-0905 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 Sonnet 4.6 is developed by Anthropic and Kimi K2-Instruct-0905 is developed by Moonshot AI.