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GPT-4.1 vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 2.2% higher average benchmark score. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI'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.
4 months newer
GPT-4.1
OpenAI
2025-04-14
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 49 common benchmarks
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GPT-4.1
Average Score:34.8%
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Kimi K2-Instruct-0905
Average Score:37.0%(+2.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Kimi K2-Instruct-0905
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GPT-4.1
Avg Score:34.8%
Providers:1
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Kimi K2-Instruct-0905
Avg Score:37.0%(+2.2%)
Providers:0