Gemini 2.5 Pro is an advanced reasoning model developed by Google, optimized for solving highly complex problems across multiple domains. It can deeply understand large-scale information from diverse sources, including text, audio, images, video, and even entire codebases. The model demonstrates strong reasoning capabilities in coding, mathematics, and STEM-related tasks, and supports long-context analysis for large datasets, codebases, and technical documentation.
Pricing
Input Modalities
- Text
- Vision
- Audio
- Video
Output Modalities
- Text
Capabilities
- Thinking
- Web
- DeepSearch
- Tools
- Tool calling
- Structured outputs
- Long context
Providers
VertexAI gemini-2.5-pro
Pricing$1.250$10.000
Cache Read$0.125/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Pricing$2.500$15.000
Cache Read$0.25/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Context1M
Max output65K
Latency8.9S
Throughput72.3TPS
Uptime
80.33% uptime 2 days ago
94.10% uptime yesterday
85.12% uptime today
Google AI Studio gemini-2.5-pro
Pricing$1.250$10.000
Cache Read$0.125/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Pricing$2.500$15.000
Cache Read$0.25/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Context1M
Max output65K
Latency2.6S
Throughput58.1TPS
Uptime
96.19% uptime 2 days ago
96.59% uptime yesterday
96.94% uptime today
Performance for gemini-2.5-pro
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Try this model
Python
