Rankings›Compare›Mistral Large 2 vs Llama 3.1 405B

Mistral Large 2vsLlama 3.1 405B

Mistral AI

Mistral Large 2

Europe's frontier model — 80+ languages

Arena ELO

1219

Context

128K

Speed

95 t/s

Input/1M

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

Mistral Large 2

Pros

✓Best-in-class multilingual (80+ languages)

✓EU-based GDPR compliance

✓Excellent HumanEval coding score

Cons

✗No vision capabilities

✗GPQA scores trail GPT-4o/Claude

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 — Mistral Large 2 excels in best-in-class multilingual (80+ languages), while Llama 3.1 405B stands out for fully open-source and free to deploy.

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