Rankings›Compare›Gemini 1.5 Pro vs Mistral Large 2

Gemini 1.5 ProvsMistral Large 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

Mistral AI

Mistral Large 2

🏆 Overall Winner

Europe's frontier model — 80+ languages

Arena ELO

1219

Context

128K

Speed

95 t/s

Input/1M

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

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, 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 — Gemini 1.5 Pro excels in 1m token context window, while Mistral Large 2 stands out for best-in-class multilingual (80+ languages).

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