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Kimi K2 Base vs Pixtral Large
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 16.8% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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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 Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
7 months newer
Pixtral Large
Mistral AI
2024-11-18
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Kimi K2 Base
Average Score:45.0%(+16.8%)
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Pixtral Large
Average Score:28.2%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Pixtral Large
1 providers
Mistral AI
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Kimi K2 Base
Avg Score:45.0%(+16.8%)
Providers:0
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Pixtral Large
Avg Score:28.2%
Providers:1