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GPT-4.1 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 5.8% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $8.22 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 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 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
8 months newer
Llama 3.1 405B 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 405B Instruct
Input:$0.89
Output:$0.89($8.22 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%(+5.8%)
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Llama 3.1 405B Instruct
Average Score:75.5%
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Knowledge Cutoff
Training data recency comparison
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 405B Instruct
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GPT-4.1
Avg Score:81.3%(+5.8%)
Providers:1
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Llama 3.1 405B Instruct
Avg Score:75.5%
Providers:8