Gemini 2.5-Pro
Gemini 2.5-Pro is an AI model published by Google Deep Mind, released on 2025-06-05, for Reasoning model, and 1000K tokens context length, with no open-source license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Modality | Input | Output |
|---|---|---|
| Text | $1.25 | $10 |
| Image | $1.25 | -- |
| Modality | Input cache | Output cache |
|---|---|---|
| Text | $0.125 | -- |
| Image | $0.125 | -- |
| Modality | Input | Output |
|---|---|---|
| Text | $2.5 | $15 |
Gemini 2.5-Pro currently shows benchmark results led by MATH-500 (1 / 44, score 98.80), Simple Bench (2 / 27, score 62.40), Aider-Polyglot (2 / 26, score 83.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Gemini 2.5-Pro is an AI model published by Google Deep Mind, released on 2025-06-05, for Reasoning model, and 1000K tokens context length, with no open-source license.
Follow DataLearner on WeChat for AI model updates and research notes.

No curated comparisons for this model yet.
Want a custom combination? Open the compare tool