Gemini Pro 2.5 Experimental is designed to handle complex tasks requiring advanced reasoning and multimodal understanding. It supports inputs in text and images, providing text-based outputs. The model excels in coding, mathematical problem-solving, and analyzing large datasets.
The model is available on the AI/ML API platform as "Gemini Pro 2.5 Experimental" .
Detailed API Documentation is available here.
Google DeepMind emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.
Gemini Pro 2.5 Experimental is available under a commercial license that allows both research and commercial usage rights while ensuring compliance with ethical standards regarding creator rights.
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Humanity's Last Exam | 18.8% | Expert-level questions across many domains | Source | September 22, 2026 |
| GPQA Diamond | 84.0% | Google-proof graduate science questions (hardest subset) | Source | September 22, 2026 |
| AIME 2025 | 86.7% | Competition mathematics (AIME), 2025 | Source | September 22, 2026 |
| SWE-bench Verified | 63.8% | Resolving verified real GitHub issues | Source | September 22, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Gemini Pro 2.5 Experimental This page | ||||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Yes, Gemini Pro 2.5 Experimental can stream responses as they are generated.
Yes, Gemini Pro 2.5 Experimental supports both function calling and structured outputs.
Gemini Pro 2.5 Experimental was built by Google.
It is available on the v1 endpoint.