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GPT-4 vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 12.3% higher average benchmark score. Llama 3.2 90B Instruct offers 190.5K more tokens in context window than GPT-4. Llama 3.2 90B Instruct is $89.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($89.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4
Average Score:59.6%
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Llama 3.2 90B Instruct
Average Score:71.9%(+12.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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-4
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:59.6%
Providers:2
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Llama 3.2 90B Instruct
Avg Score:71.9%(+12.3%)
Providers:5