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Gemini 3.5 Flash
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Gemini 3.5 Flash

gemini-3.5-flashllms.txt
Google
(This model has been officially taken offline; requests to gemini-3.5-flash will now be automatically routed to gemini-3.6-flash.)Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
This model is scheduled for retirement.
Calls still work until then. All model retirements

Pricing

PricingCache ReadInput VideoInput AudioWeb SearchCache Storage
$0.75$3.75
$0.075/M tokens$0.75/M tokens$0.75/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
  • Structured decision
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

VertexAI gemini-3.5-flash
Pricing$0.75$3.75
Cache Read$0.075/M tokens
Input Video$0.75/M tokens
Input Audio$0.75/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
PrecisionⓘNot Disclosed
Latency5.0S
Throughput118.4TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Google AI Studio gemini-3.5-flash
Pricing$0.75$3.75
Cache Read$0.075/M tokens
Input Video$0.75/M tokens
Input Audio$0.75/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
PrecisionⓘNot Disclosed
Latency4.2S
Throughput131.8TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today

Performance for gemini-3.5-flash

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-3.5-flash",
    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 3.5 Flash?

(This model has been officially taken offline; requests to gemini-3.5-flash will now be automatically routed to gemini-3.6-flash.)Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.

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