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GPT-4o mini vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 11.1% higher average benchmark score. Llama 3.2 11B Instruct offers 111.6K more tokens in context window than GPT-4o mini. Llama 3.2 11B Instruct is $0.65 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Overall, GPT-4o mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
2 months newer
GPT-4o mini
OpenAI
2024-07-18
Llama 3.2 11B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-4o mini
Average Score:65.9%(+11.1%)
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Llama 3.2 11B Instruct
Average Score:54.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Llama 3.2 11B Instruct
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GPT-4o mini
Avg Score:65.9%(+11.1%)
Providers:1
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Llama 3.2 11B Instruct
Avg Score:54.8%
Providers:6