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GPT-5 vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 leads with 21.9% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $10.85 cheaper per million tokens. GPT-5 supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, GPT-5 is the stronger choice for coding tasks.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
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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
Llama 3.1 70B Instruct
Meta
2024-07-23
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$1.25
Output:$10.00
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($10.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-5
Average Score:90.5%(+21.9%)
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Llama 3.1 70B Instruct
Average Score:68.6%
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Knowledge Cutoff
Training data recency comparison
GPT-5
2024-09-30
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-5
2 providers
OpenAI
Throughput: 100 tok/s
Latency: 2ms
ZeroEval
Throughput: 100 tok/s
Latency: 2ms
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GPT-5
Avg Score:90.5%(+21.9%)
Providers:2
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Llama 3.1 70B Instruct
Avg Score:68.6%
Providers:9