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GPT-4.1 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 21.2% higher average benchmark score. GPT-4.1 offers 818.2K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $9.94 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
8 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($9.94 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1
Average Score:81.3%(+21.2%)
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Llama 3.1 8B Instruct
Average Score:60.1%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
GPT-4.1
2024-06-01
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-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Llama 3.1 8B Instruct
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GPT-4.1
Avg Score:81.3%(+21.2%)
Providers:1
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Llama 3.1 8B Instruct
Avg Score:60.1%
Providers:9