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Kimi-k1.5 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 4.5% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. 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 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Kimi-k1.5
Average Score:33.4%
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Llama 3.2 3B Instruct
Average Score:37.9%(+4.5%)
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 3B Instruct
1 providers
DeepInfra
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Kimi-k1.5
Avg Score:33.4%
Providers:0
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Llama 3.2 3B Instruct
Avg Score:37.9%(+4.5%)
Providers:1