LLM Benchmark

Gemini 2.5 Pro

Google's multimodal model with a 2 million token context window, optimized for real-time applications and enterprise integration.

8
Coding
8.5
Agentic
8
Reasoning
7.5
Math
8.5
Language

Strengths

  • Massive context window (up to 2 million tokens)
  • Strong multimodal understanding and integration
  • Excellent performance in long-context tasks
  • High throughput (61.6 tokens/sec)

Weaknesses

  • Slightly lower performance in specialized coding tasks
  • More cautious in language processing
  • Higher costs for extensive use
  • Potential hallucinations in specialized domains