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GPT-4o vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 7.3% higher average benchmark score. Llama 3.2 90B Instruct offers 111.6K more tokens in context window than GPT-4o. Llama 3.2 90B Instruct is $11.75 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. 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 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
1 month newer
GPT-4o
OpenAI
2024-08-06
Llama 3.2 90B 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 90B Instruct
Input:$0.35
Output:$0.40($11.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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GPT-4o
Average Score:77.7%(+7.3%)
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Llama 3.2 90B Instruct
Average Score:70.4%
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:77.7%(+7.3%)
Providers:2
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Llama 3.2 90B Instruct
Avg Score:70.4%
Providers:5