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GPT-4o mini vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 5.3% higher average benchmark score. Llama 3.3 70B Instruct offers 111.6K more tokens in context window than GPT-4o mini. Both models have similar pricing. GPT-4o mini supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct 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 3.3 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 mini
OpenAI
2024-07-18
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 mini
Input:$0.15
Output:$0.60
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4o mini
Average Score:73.3%
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Llama 3.3 70B Instruct
Average Score:78.6%(+5.3%)
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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 3.3 70B Instruct
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GPT-4o mini
Avg Score:73.3%
Providers:1
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Llama 3.3 70B Instruct
Avg Score:78.6%(+5.3%)
Providers:9