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GPT-4o vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 3.5% higher average benchmark score. Llama 3.3 70B Instruct offers 111.6K more tokens in context window than GPT-4o. Llama 3.3 70B Instruct is $12.10 cheaper per million tokens. GPT-4o supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
4 months newer
GPT-4o
OpenAI
2024-08-06
Llama 3.3 70B Instruct
Meta
2024-12-06
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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 3.3 70B Instruct
Input:$0.20
Output:$0.20($12.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o
Average Score:77.9%(+3.5%)
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Llama 3.3 70B Instruct
Average Score:74.4%
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:77.9%(+3.5%)
Providers:2
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Llama 3.3 70B Instruct
Avg Score:74.4%
Providers:9