Llama 3.1 405BvsMistral Large 2
Meta
🏆 Overall WinnerLlama 3.1 405B
Meta's open-source frontier model
Arena ELO
1247
Context
128K
Speed
45 t/s
Input/1M
$0.9
Mistral AI
Mistral Large 2
Europe's frontier model — 80+ languages
Arena ELO
1219
Context
128K
Speed
95 t/s
Input/1M
$2
Capability Radar
Category performance across 6 domains
Benchmark Scores
MMLU · HumanEval · MATH · GSM8K · GPQA · BBH
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
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
🏆 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 — Llama 3.1 405B excels in fully open-source and free to deploy, while Mistral Large 2 stands out for best-in-class multilingual (80+ languages).