Llama 3.1 405B vs GPT-4o
Llama 3.1 405B is the first open-weight model to approach GPT-4o-level performance. It is ideal for organizations that need data sovereignty, customization, or zero per-token costs. GPT-4o remains the benchmark leader with superior multimodal and ecosystem support.
Specifications
Side-by-Side Specs
Detailed technical comparison of Llama 3.1 405B and GPT-4o.
Llama 3.1 405B
Meta
GPT-4o
OpenAI
Provider
Meta
OpenAI
Context Window
128K
128K
Parameters
405B
~1.7T (est.)
License
Llama 3.1 (open)
Proprietary
Price
Free (open weights)
$5 / 1M tok
MMLU Score
84.4
88.7
HumanEval
89.1
90.2
MATH
73.8
76.6
Multilingual
8 languages
95+ languages
Release Date
Jul 2024
May 2024
Strengths
Key Strengths
What each model does best.
Llama 3.1 405B
Meta
- Open weights — free to download and self-host
- Frontier-class reasoning at no cost
- Full model weight access for fine-tuning
- No vendor lock-in or API dependency
GPT-4o
OpenAI
- Higher benchmark scores across the board
- Real-time multimodal capabilities
- Largest integration ecosystem
- Managed API with auto-scaling
Best Use Cases
When to Choose Which
Practical recommendations based on real-world workloads.
Choose Llama 3.1 405B for
- → On-premise and private cloud deployment
- → Fine-tuning with proprietary data
- → Cost-sensitive high-volume inference
- → Research and academic use
Choose GPT-4o for
- → Production chatbots with multimodal needs
- → Startups wanting managed infrastructure
- → Applications needing broad language support
- → Real-time voice and vision apps
Final Verdict
Our Recommendation
Choose Llama 3.1 405B for data sovereignty, cost control, and customization. Choose GPT-4o for the highest benchmark performance, multimodal capabilities, and managed API convenience.
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