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GPT-4.1 mini vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 3.3% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.1 405B Instruct. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 mini
Average Score:78.9%(+3.3%)
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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 mini
2024-05-31
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-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:78.9%(+3.3%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:75.5%
Providers:8