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Codestral-22B vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 13.3% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct is the stronger choice for coding tasks.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral 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
Codestral-22B
Mistral AI
2024-05-29
Llama 3.2 11B Instruct
Meta
2024-09-25
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Codestral-22B
Average Score:25.6%
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Llama 3.2 11B Instruct
Average Score:38.9%(+13.3%)
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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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Codestral-22B
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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Codestral-22B
Avg Score:25.6%
Providers:0
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Llama 3.2 11B Instruct
Avg Score:38.9%(+13.3%)
Providers:6