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Gemini 3.5 Flash Lite
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Gemini 3.5 Flash Lite

gemini-3.5-flash-litellms.txt
Google
Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.

Pricing

PricingCache ReadInput VideoInput AudioWeb SearchCache Storage
$0.3$2.5
$0.03/M tokens$0.3/M tokens$0.3/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-3.5-flash-lite
Pricing$0.3$2.5
Cache Read$0.03/M tokens
Input Video$0.3/M tokens
Input Audio$0.3/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency1.1S
Throughput72.0TPS
Uptime
100.00% uptime 2 days ago
88.91% uptime yesterday
90.36% uptime today
Google AI Studio gemini-3.5-flash-lite
Pricing$0.3$2.5
Cache Read$0.03/M tokens
Input Video$0.3/M tokens
Input Audio$0.3/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency2.6S
Throughput158.2TPS
Uptime
100.00% uptime 2 days ago
97.27% uptime yesterday
83.28% uptime today

Performance for gemini-3.5-flash-lite

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-lite",
    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 Lite?

Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
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