Model Comparison

Claude Opus 4 vs Kimi K2-Instruct-0905

Claude Opus 4 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude Opus 4 outperforms in 4 benchmarks (AIME 2025, GPQA, SWE-Bench Verified, Terminal-Bench), while Kimi K2-Instruct-0905 is better at 0 benchmarks.

Claude Opus 4 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Opus 4 specifies input context (200,000 tokens). Only Claude Opus 4 specifies output context (32,000 tokens).

Anthropic
Claude Opus 4
Input200,000 tokens
Output32,000 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4 supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Claude Opus 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 4

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4 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 Opus 4

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 4 was released on 2025-05-22, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 4 months newer than Claude Opus 4.

Claude Opus 4

May 22, 2025

11 months ago

Kimi K2-Instruct-0905

Sep 5, 2025

8 months ago

3mo 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

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (75.5% vs 49.5%)
Higher GPQA score (79.6% vs 75.1%)
Higher SWE-Bench Verified score (72.5% vs 65.8%)
Higher Terminal-Bench score (39.2% vs 25.0%)
Moonshot AI
Has open weights
AnthropicClaude Opus 4
Moonshot AIKimi K2-Instruct-0905
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Claude Opus 4 vs Kimi K2-Instruct-0905.

Which is better, Claude Opus 4 or Kimi K2-Instruct-0905?

Claude Opus 4 significantly outperforms across most benchmarks. Claude Opus 4 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.

How does Claude Opus 4 compare to Kimi K2-Instruct-0905 in benchmarks?

Claude Opus 4 scores MMMLU: 88.8%, TAU-bench Retail: 81.4%, GPQA: 79.6%, MMMU (validation): 76.5%, AIME 2025: 75.5%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Claude Opus 4 and Kimi K2-Instruct-0905?

Claude Opus 4 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.

What are the main differences between Claude Opus 4 and Kimi K2-Instruct-0905?

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 Opus 4 and Kimi K2-Instruct-0905?

Claude Opus 4 is developed by Anthropic and Kimi K2-Instruct-0905 is developed by Moonshot AI.