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GPT-5 mini vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 31.6% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Llama 3.1 405B Instruct. Both models have similar pricing. GPT-5 mini supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 mini
Average Score:82.3%(+31.6%)
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Llama 3.1 405B Instruct
Average Score:50.7%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:82.3%(+31.6%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:50.7%
Providers:8