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GPT-4o mini vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 17.3% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 2024, it represents OpenAI's latest advancement in AI technology.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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.
11 months newer
GPT-4o mini
OpenAI
2024-07-18
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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GPT-4o mini
Average Score:30.1%
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Kimi K2 Base
Average Score:47.3%(+17.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Kimi K2 Base
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GPT-4o mini
Avg Score:30.1%
Providers:1
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Kimi K2 Base
Avg Score:47.3%(+17.3%)
Providers:0