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Gemini 3 Flash Preview
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Gemini 3 Flash Preview

gemini-3-flash-previewllms.txt
Google
gemini-3-flash-preview is Google's latest released, most balanced model, excelling in speed, scale, and cutting-edge intelligence.

Pricing

PricingCache ReadInput AudioInput Audio Cached Web SearchCache Storage
$0.5$3
$0.05/M tokens$1/M tokens$0.1/M tokens$0.014/request$1/h/M tokens

Input Modalities

  • Text
  • Vision
  • Audio
  • Video
  • PDF

Output Modalities

  • Text

Context length

  • 1.05M tokens

Max output

  • 65.5K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

VertexAI gemini-3-flash-preview
Pricing$0.5$3
Cache Read$0.05/M tokens
Input Audio$1/M tokens
Input Audio Cached $0.1/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency2.6S
Throughput146.2TPS
Uptime
97.63% uptime 3 days ago
99.50% uptime 2 days ago
99.64% uptime yesterday
Google AI Studio gemini-3-flash-preview
Pricing$0.5$3
Cache Read$0.05/M tokens
Input Audio$1/M tokens
Input Audio Cached $0.1/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency8.0S
Throughput175.7TPS
Uptime
99.70% uptime 3 days ago
99.30% uptime 2 days ago
99.48% uptime yesterday

Performance for gemini-3-flash-preview

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-3-flash-preview",
    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 3 Flash Preview?

gemini-3-flash-preview is Google's latest released, most balanced model, excelling in speed, scale, and cutting-edge intelligence.

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