Gemini 2.5 Pro Preview 05-06
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Gemini 2.5 Pro Preview 05-06

gemini-2.5-pro-preview-05-06
Google
gemini-2.5-pro latest model

Pricing

TierPricingCache ReadWeb SearchCache Storage
Input<=200K
$1.250$10.000
$0.125/M tokens$0.035/request$4.5/h/M tokens
200K<Input
$2.500$15.000
$0.25/M tokens$0.035/request$4.5/h/M tokens

Input Modalities

  • Text
  • Vision
  • Audio
  • Video

Output Modalities

  • Text

Capabilities

  • Thinking
  • Long context

Providers

Google AI Studio gemini-2.5-pro-preview-05-06
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
Latency2.3S
Throughput97.7TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
VertexAI gemini-2.5-pro-preview-05-06
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
Latency2.3S
Throughput97.7TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for gemini-2.5-pro-preview-05-06

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-preview-05-06",
    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 Preview 05-06?

gemini-2.5-pro latest model