Mistral Large 2vsGemini 1.5 Pro
Mistral AI
🏆 Overall WinnerMistral Large 2
Europe's frontier model — 80+ languages
Arena ELO
1219
Context
128K
Speed
95 t/s
Input/1M
$2
Google
Gemini 1.5 Pro
Google's 1M-token multimodal model
Arena ELO
1261
Context
1000K
Speed
150 t/s
Input/1M
$1.25
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
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
🏆 Our Verdict
Based on overall benchmark averages, Mistral Large 2 has the edge with an average score of 78.0% across all benchmarks. However, the best choice depends on your use case — Mistral Large 2 excels in best-in-class multilingual (80+ languages), while Gemini 1.5 Pro stands out for 1m token context window.