Head-to-head comparison of Meta (Llama) and OpenAI (GPT) models. Compare 15 Meta models against 64 OpenAI models on scores, pricing, capabilities, and context windows. Data refreshed hourly.
Meta vs OpenAI at a glance: model counts, average scores, price ranges, and open source status.
Combined ranking of every Meta and OpenAI model sorted by composite score. Click any row for detailed analysis.
The most important head-to-head comparisons between Meta Llama and OpenAI GPT flagship models. Click any matchup for a detailed breakdown.
Meta Llama models are open source and available through multiple hosting providers at competitive prices. Here is how pricing compares to OpenAI.
On average, Meta Llama models cost 94% less on input and 100% less on output compared to OpenAI models. As open source models, Llama can also be self-hosted for even greater savings at scale.
How many models from each provider support each capability.
Meta has established itself as the most influential force in open source AI with the Llama model family. From Llama 2 to the latest Llama 4 Maverick and Scout, Meta has consistently pushed the boundaries of what open-weight models can achieve. Llama models are available under permissive licenses, enabling self-hosting, fine-tuning, and custom deployments without vendor lock-in.
The key differentiator for Meta is open source flexibility and cost. Llama models can be deployed on any infrastructure—cloud, on-premise, or edge—giving teams complete control over their AI stack. Multiple hosting providers offer Llama models through their APIs at competitive prices, and self-hosting eliminates per-token costs entirely for teams with the infrastructure.
OpenAI maintains its position as the industry leader with the most comprehensive proprietary model lineup. With 64 models spanning GPT-4o, o-series reasoning models, and lightweight variants, OpenAI offers unmatched breadth. The ChatGPT ecosystem, enterprise features, extensive documentation, and first-party integrations provide a turnkey solution that many teams prefer.
For teams deciding between Meta and OpenAI, the choice often comes down to control vs. convenience. Meta wins on openness, customizability, and long-term cost efficiency for teams willing to manage their own infrastructure. OpenAI wins on ease of use, ecosystem maturity, and the broadest feature set available through a single API.
Dive deeper into AI model rankings, provider breakdowns, and head-to-head comparisons.
Llama 3.1 405B approaches GPT-4 performance on many benchmarks. The smaller Llama 3.3 70B offers a strong quality-to-efficiency ratio. However, GPT-4o still leads on complex reasoning and multimodal tasks.
Meta’s Llama models are open-source — you can self-host them for complete data privacy, zero API costs, and full customization through fine-tuning. OpenAI offers better out-of-the-box performance and managed infrastructure.
Yes — Llama models are free to download and deploy. You need your own GPU hardware for self-hosting. Alternatively, cloud providers like Together AI and Fireworks offer hosted Llama at prices significantly lower than GPT-4o.