Rankings›Compare›GPT-4o vs Llama 3.1 405B

GPT-4ovsLlama 3.1 405B

OpenAI

GPT-4o

🏆 Overall Winner

OpenAI's flagship multimodal model

Arena ELO

1314

Context

128K

Speed

110 t/s

Input/1M

$2.5

Llama 3.1 405B

Meta's open-source frontier model

Arena ELO

1247

Context

128K

Speed

45 t/s

Input/1M

$0.9

Capability Radar

Category performance across 6 domains

Benchmark Scores

MMLU · HumanEval · MATH · GSM8K · GPQA · BBH

GPT-4o

Pros

✓Best-in-class multimodal capabilities

✓Fastest major frontier model

✓Extensive third-party integrations

Cons

✗Higher cost than alternatives

✗Context window smaller than Gemini 1.5 Pro

Llama 3.1 405B

Pros

✓Fully open-source and free to deploy

✓No data leaves your infrastructure

✓Competitive benchmarks

Cons

✗Requires significant compute to self-host

✗No official vendor support

🏆 Our Verdict

Based on overall benchmark averages, GPT-4o has the edge with an average score of 81.6% across all benchmarks. However, the best choice depends on your use case — GPT-4o excels in best-in-class multimodal capabilities, while Llama 3.1 405B stands out for fully open-source and free to deploy.

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