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GPT-4 vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 3.9% higher average benchmark score. Llama 3.1 70B Instruct offers 190.5K more tokens in context window than GPT-4. Llama 3.1 70B Instruct is $89.60 cheaper per million tokens. GPT-4 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-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 3.1 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.
1 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($89.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4
Average Score:67.5%
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Llama 3.1 70B Instruct
Average Score:71.4%(+3.9%)
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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:67.5%
Providers:2
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Llama 3.1 70B Instruct
Avg Score:71.4%(+3.9%)
Providers:9