gemini-2-5-pro

Introducing Google's Gemini 2.5 Pro Experimental: The Next Frontier in AI on Vertex AI

Tal Peretz

— 2 min read
Introducing Google's Gemini 2.5 Pro Experimental: The Next Frontier in AI on Vertex AI

Google recently unveiled its most advanced AI model yet, Gemini 2.5 Pro Experimental (gemini-2.5-pro-exp-03-25), available soon on Vertex AI. Designed to excel in complex reasoning, coding, math, and science tasks, this model sets a new standard in AI capabilities.

Enhanced Intelligence and Capabilities

Gemini 2.5 Pro Experimental stands out as Google's "most intelligent AI model". It leads the LMArena leaderboard for human preferences and achieves state-of-the-art performance on challenging benchmarks:

  • AIME 2025 and GPQA Diamond: Exceptional performance in math and science tasks.
  • Humanity's Last Exam: Impressively scores 18.8% without any external tools, surpassing major competitors.
  • SWE-Bench Verified: Achieves a remarkable 63.8% on agentic coding tasks.

Performance and Latency Considerations

Gemini 2.5 Pro Experimental features robust output performance at 195.4 tokens per second. However, users should anticipate higher initial latency, with a 29.18-second average time to first token (TTFT). This makes it less suitable for latency-critical applications.

Unmatched Context Window and Multimodal Inputs

One of Gemini 2.5 Pro's standout features is its 1 million token context window, with future expansions planned for up to 2 million tokens. Additionally, it supports multimodal inputs—including text, images, audio, and video—enabling more sophisticated, context-rich applications. However, output remains text-only.

Practical Applications of Gemini 2.5 Pro

Consider leveraging Gemini 2.5 Pro Experimental for your projects in:

  • Complex scientific reasoning and mathematical problem-solving
  • Advanced coding and software development tasks
  • Multimodal applications that integrate text, visuals, audio, and video inputs
  • Scenarios requiring extensive context handling capabilities
  • Applications benefiting from agentic AI capabilities

When to Avoid Gemini 2.5 Pro

Despite its strengths, this model isn't always the ideal choice. Avoid it for:

  • Simple, routine tasks manageable by smaller, faster models
  • Latency-sensitive applications
  • Budget-constrained projects
  • Applications requiring deterministic, predictable outcomes
  • Situations where AI explainability is critical

Getting Started: Example Usage in Python


from google import genai

client = genai.Client()
response = client.models.generate_content(
    model="gemini-2.5-pro-exp-03-25",
    contents="Explain the concept of quantum entanglement",
)
print(response.text)

Pricing Considerations

Google has yet to announce detailed pricing information for Gemini 2.5 Pro Experimental. The company plans to release pricing details soon to facilitate scaled production deployments.

Conclusion

Gemini 2.5 Pro Experimental represents a significant leap forward in AI technology. Its superior performance in reasoning and complex tasks positions it as an invaluable asset for advanced applications. Carefully evaluate your project's specific needs, including performance, latency, and budget, to determine if Gemini 2.5 Pro is the right choice for your AI initiatives.

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