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GPT-4o vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 21.1% higher average benchmark score. Llama 3.2 3B Instruct offers 111.6K more tokens in context window than GPT-4o. Llama 3.2 3B Instruct is $12.47 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, GPT-4o is the stronger choice for coding tasks.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
1 month newer
GPT-4o
OpenAI
2024-08-06
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
Input:$2.50
Output:$10.00
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($12.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o
Average Score:78.9%(+21.1%)
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Llama 3.2 3B Instruct
Average Score:57.9%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:78.9%(+21.1%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:57.9%
Providers:1