How Does Llama 3 405B Compare to GPT-4o?

Open-source freedom vs proprietary convenience. Self-hosted models have no per-token cost but require GPU infrastructure. GPT-4o scores higher (90 vs 86/100).

Side-by-Side Pricing

MetricLlama 3 405BGPT-4o
Input (per 1M tokens)Self-host$2.50
Output (per 1M tokens)Self-host$10.00
1-page summary costvaries$0.0060
10K conversation costvaries$0.0400

Quality & Benchmarks

MetricLlama 3 405BGPT-4o
Aggregate quality score86/10090/100
Best forprivacy-first, custom fine-tuning, self-hosted deploymentsgeneral-purpose, multimodal, tool use
ProviderMeta (open-source)OpenAI

Speed & Context Window

MetricLlama 3 405BGPT-4o
Speed (tokens/sec)25 tok/s90 tok/s
Context window128K128K

GPT-4o is faster at 90 tok/s vs 25 tok/s. Llama 3 405B supports 128K context vs GPT-4o's 128K.

Privacy & Data Handling

AspectLlama 3 405BGPT-4o
Data retentionYour infrastructure — full controlNot used for training (API)
SOC 2Self-managedYes
EU data residencyDeploy anywhereAvailable on request

Verdict: When to Pick Each

Pick Llama 3 405B for full data control and no per-token costs. Pick GPT-4o for zero infrastructure overhead and instant scaling.

FAQ

Is Llama 3 405B better than GPT-4o?

Llama 3 405B scores 86/100 vs GPT-4o at 90/100. Llama 3 405B is best for privacy-first, custom fine-tuning, self-hosted deployments. GPT-4o is best for general-purpose, multimodal, tool use. The right choice depends on your use case and budget.

Which is cheaper, Llama 3 405B or GPT-4o?

Self-hosted models have no per-token cost but require GPU infrastructure.

Can I switch between Llama 3 405B and GPT-4o?

Yes. Both models support standard chat completion APIs. You can use model routing to send simple queries to the cheaper model and complex queries to the more capable one, optimizing your costs.

Prices last verified: April 2026. Pricing may change — always check provider websites for current rates.

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