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GPT-4o mini vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 19.2% higher average benchmark score. Llama 3.2 3B Instruct offers 111.6K more tokens in context window than GPT-4o mini. Llama 3.2 3B Instruct is $0.72 cheaper per million tokens. GPT-4o mini supports multimodal inputs. 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 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
2 months newer
GPT-4o mini
OpenAI
2024-07-18
Llama 3.2 3B 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 3B Instruct
Input:$0.01
Output:$0.02($0.72 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o mini
Average Score:69.8%(+19.2%)
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Llama 3.2 3B Instruct
Average Score:50.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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 3B Instruct
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GPT-4o mini
Avg Score:69.8%(+19.2%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:50.6%
Providers:1