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Kimi-k1.5 vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 2.1% higher average benchmark score. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Kimi-k1.5
Average Score:43.3%(+2.1%)
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Llama 3.2 11B Instruct
Average Score:41.2%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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Kimi-k1.5
Avg Score:43.3%(+2.1%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:41.2%
Providers:6