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Gemini 3.5 Flash-Lite

Google chat vision code tools
Input$0.3/M
Output$2.5/M
Audio input$0.3/M
Cache read$0.03/M
Context1M
vs GPT-4o~94% cheaper

Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.111/M. Implicit caching is on by default for current Gemini models (discounted automatically on cache hits), plus an explicit CachedContent API with storage-based billing for guaranteed savings.

Use Gemini 3.5 Flash-Lite in 30 seconds

OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.chat.completions.create(
    model="gemini-3.5-flash-lite",
    messages=[{"role": "user", "content": "Summarize this diff"}],
)
print(resp.choices[0].message.content)

About Gemini 3.5 Flash-Lite

Fastest, lowest-cost model in the 3.5 family
Built for high-throughput subagents and parsing
1M context, thinking, and built-in tools

Gemini 3.5 Flash-Lite is a generally available, low-latency multimodal model that Google's documentation describes as the fastest, lowest-cost model in the 3.5 family, optimized for high-throughput, low-cost execution such as subagent tasks and document parsing.

  • It supports thinking and the built-in tool suite including Computer Use, takes text, image, video, and audio input across a 1M-token context window with 65,536 output tokens; the model page notes that temperature, top_p, and top_k are deprecated and ignored from this generation.
  • Synthorai serves it through its OpenAI-compatible chat endpoint.

Specs & limits

Max output (vendor spec)65,536
Modalitiestext + image + video + audio → text
Featurestools · structured_output · streaming · vision · batch · caching · reasoning · computer_use
NotableGA; 1M-token context, 64K max output; the fastest, lowest-cost model in the 3.5 family, optimized for high-throughput low-cost execution (subagent tasks, document parsing); thinking and built-in tools incl. Computer Use. Note: temperature/top_p/top_k are deprecated and ignored from this generation.
Prompt cachingautomatic + explicit · min 1,024-token prefix

per Google official docs ↗

FAQ

Is the Gemini 3.5 Flash-Lite API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.3/M input tokens, that credit alone covers roughly 416 requests of ~8K tokens against Gemini 3.5 Flash-Lite.

What is Gemini 3.5 Flash-Lite best at?

Fastest, lowest-cost model in the 3.5 family, plus built for high-throughput subagents and parsing and 1M context, thinking, and built-in tools. See the About section for the full picture from the vendor's own release notes.

How much does Gemini 3.5 Flash-Lite cost?

Gemini 3.5 Flash-Lite costs $0.3 per million input tokens and $2.5 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.03/M.

Does Gemini 3.5 Flash-Lite support prompt caching?

Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.03/M vs $0.3/M uncached; prompts need a 1,024-token stable prefix to cache. Prompt caching guide →

How do I get access to Gemini 3.5 Flash-Lite?

Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="gemini-3.5-flash-lite", and you're done. One API key covers every model on the gateway.

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