Llama 3.1 405B vs GPT-4o
Can the open-weight frontier compete with proprietary? Llama 3.1 405B head-to-head with GPT-4o on price, quality, and deployment flexibility.
Comparing 2 models · Prices last verified
Verdict
GPT-4o wins on multimodal and ecosystem maturity. Llama 3.1 405B wins on text quality per dollar (especially on hosted providers under $3/1M) and on the option of self-hosting. Pick GPT-4o for product polish, Llama for cost predictability and data sovereignty.
Pricing Comparison
| Model | Provider | Input / 1M | Output / 1M | Context | Tier |
|---|---|---|---|---|---|
| Llama 3.1 405B | Meta | $2.70 | $2.70 | 128K | flagship |
| GPT-4o | OpenAI | $2.50 | $10.00 | 128K | balanced |
Model Breakdown
Meta
$2.70
per 1M input
Llama 3.1 405B is Meta's largest open-weight model — competitive with GPT-4-class models on many benchmarks and uniquely available for self-hosting. Symmetric input/output pricing is common across hosted providers.
OpenAI
$2.50
per 1M input
GPT-4o is OpenAI's flagship multimodal model — capable of processing text, images, and audio. It's the default choice for most production OpenAI workloads, balancing cost, speed, and capability.
Our Verdict
GPT-4o wins on multimodal and ecosystem maturity. Llama 3.1 405B wins on text quality per dollar (especially on hosted providers under $3/1M) and on the option of self-hosting. Pick GPT-4o for product polish, Llama for cost predictability and data sovereignty.
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