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Kimi K2 Base vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.2% higher average benchmark score. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
9 months newer
Pixtral-12B
Mistral AI
2024-09-17
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Kimi K2 Base
Average Score:39.1%(+4.2%)
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Pixtral-12B
Average Score:34.9%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Pixtral-12B
1 providers
Mistral AI
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Kimi K2 Base
Avg Score:39.1%(+4.2%)
Providers:0
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Pixtral-12B
Avg Score:34.9%
Providers:1