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GPT-4o mini vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.1 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 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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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 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
5 days newer
GPT-4o mini
OpenAI
2024-07-18
Llama 3.1 70B Instruct
Meta
2024-07-23
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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 3.1 70B Instruct
Input:$0.20
Output:$0.20($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o mini
Average Score:72.3%(+0.9%)
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Llama 3.1 70B Instruct
Average Score:71.4%
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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 3.1 70B Instruct
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GPT-4o mini
Avg Score:72.3%(+0.9%)
Providers:1
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Llama 3.1 70B Instruct
Avg Score:71.4%
Providers:9