Rankings›Compare›Gemini 1.5 Pro vs Llama 3.1 405B

Gemini 1.5 ProvsLlama 3.1 405B

Google

Gemini 1.5 Pro

Google's 1M-token multimodal model

Arena ELO

1261

Context

1000K

Speed

150 t/s

Input/1M

$1.25

Llama 3.1 405B

🏆 Overall Winner

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

Gemini 1.5 Pro

Pros

✓1M token context window

✓Fastest response times

✓Best price-to-performance

Cons

✗Slightly lower reasoning vs GPT-4o/Claude

✗Less consistent instruction following

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, Llama 3.1 405B has the edge with an average score of 81.2% across all benchmarks. However, the best choice depends on your use case — Gemini 1.5 Pro excels in 1m token context window, while Llama 3.1 405B stands out for fully open-source and free to deploy.

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Gemini 1.5 Pro vs GPT-4o →Llama 3.1 405B vs GPT-4o →Gemini 1.5 Pro vs Claude 3.5 Sonnet →Llama 3.1 405B vs Claude 3.5 Sonnet →Gemini 1.5 Pro vs Grok 2 →Llama 3.1 405B vs Grok 2 →Gemini 1.5 Pro vs Mistral Large 2 →Llama 3.1 405B vs Mistral Large 2 →