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Gemini 2.5 Pro
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Gemini 2.5 Pro

gemini-2.5-prollms.txt
Google
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

TierPricingCache ReadWeb SearchCache Storage
Input<=200K
$1.25$10
$0.125/M tokens$0.035/request$4.5/h/M tokens
200K<Input
$2.5$15
$0.25/M tokens$0.035/request$4.5/h/M tokens

Input Modalities

  • Text
  • Vision
  • Audio
  • Video
  • PDF

Output Modalities

  • Text

Capabilities

  • Thinking
  • Web
  • DeepSearch
  • Tools
  • Tool calling
  • Structured outputs
  • Long context

Providers

VertexAI gemini-2.5-pro
Pricing$1.25$10
Cache Read$0.125/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Pricing$2.5$15
Cache Read$0.25/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Context1M
Max output65K
Latency24.6S
Throughput87.6TPS
Uptime
95.30% uptime 2 days ago
91.98% uptime yesterday
88.54% uptime today
Google AI Studio gemini-2.5-pro
Pricing$1.25$10
Cache Read$0.125/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Pricing$2.5$15
Cache Read$0.25/M tokens
Web Search$0.035/request
Cache Storage$4.5/h/M tokens
Context1M
Max output65K
Latency6.5S
Throughput34.9TPS
Uptime
99.70% uptime 2 days ago
99.95% uptime yesterday
88.21% 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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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Gemini 2.5 Pro?

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.
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