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Claude Opus 4.1 vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 38.4% higher average benchmark score. Claude Opus 4.1 supports multimodal inputs. Claude Opus 4.1 is available on 4 providers. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K token context window for handling large documents. The model is available through 4 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.
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Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 month newer
Claude Opus 4.1
Anthropic
2025-08-05
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Claude Opus 4.1
Average Score:18.2%
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Kimi K2-Instruct-0905
Average Score:56.6%(+38.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude Opus 4.1
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude Opus 4.1
Avg Score:18.2%
Providers:4
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Kimi K2-Instruct-0905
Avg Score:56.6%(+38.4%)
Providers:0