Model card
Gemini 2.5 Pro is Google's latest reasoning-focused model built for complex problem solving. It handles large contexts (up to 1M tokens), making it strong for deep document analysis, long conversations, and codebases. The model supports multimodal input, so you can feed it text and images together for tasks like diagram understanding or visual QA. It's accessible via the Gemini API with client libraries for common languages, fitting into existing developer workflows. In benchmarks, it performs well on coding (SWE-bench-style tasks), math, and STEM reasoning, often trailing only top-tier closed models. It's a solid choice when you need strong accuracy on technical workloads without managing your own infrastructure.
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