GoogleReleased on Jul 21, 2026

Gemini 3.5 Flash-Lite: API Pricing, Context Window & Benchmarks

Gemini 3.5 Flash-Lite is a language model from Google, released in July 2026, with multimodal input, a 1.0M-token context window, and pricing from $0.300/M input and $2.50/M output.

Gemini 3.5 Flash-Lite is Google's low-latency, cost-effective multimodal reasoning model for high-throughput agentic workflows, document processing, data extraction, translation, and classification. It supports text, image, video, audio,

Input
TextImageAudioVideo
Output
Text

Gemini 3.5 Flash-Lite benchmarks

Rankings

Quality Tracker

Gemini 3.5 Flash-Lite Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Tue Jul 21 2026
Notice missing or incorrect data?

Gemini 3.5 Flash-Lite pricing

Providers

Gemini 3.5 Flash-Lite starts at $0.300 per million input tokens and $2.50 per million output tokens via Google.

ProviderInput $/MOutput $/MContext in / outTTFT p50 / p95 sOutput avg / p5 c/sSuccess 7dModalities in / out
Google logoGoogle
$0.300$2.501.0M/65.5K
/
/
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.

Gemini 3.5 Flash-Lite context window

Input and output token limits for Gemini 3.5 Flash-Lite, plus how it ranks on long-context understanding.

InputOutput
1.0Mtokens
66Ktokens
1.6k pages of text
1.0M
8K128K1M

Gemini 3.5 Flash-Lite API

POST/v1/chat/completions

Run a request to see the response

Use it in your code

Billed at $0.30 input / $2.50 output per 1M tokens through the LLM Stats gateway.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://gateway.llm-stats.com/v1"
)

response = client.chat.completions.create(
    model="gemini-3.5-flash-lite",
    messages=[
        {"role": "user", "content": "What is machine learning?"}
    ]
)

print(response.choices[0].message.content)

Need an API key? Create one above in the playground, or read the API documentation.

Gemini 3.5 Flash-Lite latency

Gemini 3.5 Flash-Lite time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Gemini 3.5 Flash-Lite examples

Recent arena outputs from Gemini 3.5 Flash-Lite, picked from the highest-ranked matchups.

Gemini 3.5 Flash-Lite license

Gemini 3.5 Flash-Lite is a proprietary model available under its provider's product and API terms, has a knowledge cutoff of March 2026.

License
Proprietary
Hosted access
Knowledge cutoff
March 2026

Proprietary license - usage restrictions apply

Gemini 3.5 Flash-Lite resources

Official sources for Gemini 3.5 Flash-Lite: api documentation, official playground, official launch post.

Gemini 3.5 Flash-Lite vs other models

The most-compared alternatives to Gemini 3.5 Flash-Lite are Claude Opus 4.6, Gemini 3 Flash, MAI-Thinking-1. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Gemini 3.5 Flash-Lite

Models ranked just above and below Gemini 3.5 Flash-Lite by LLM Stats score.

 

Claude Opus 4.6

Score pending
 

Gemini 3 Flash

Score pending
 

MAI-Thinking-1

Score pending
 

Qwen3.6 Plus

Score pending
 

Gemini 2.5 Pro Preview 06-05

Score pending
 

Qwen3.6-27B

Score pending

FAQ

Common questions about Gemini 3.5 Flash-Lite.

When was Gemini 3.5 Flash-Lite released?

Gemini 3.5 Flash-Lite was released on July 21, 2026 by Google. This is the official Gemini 3.5 Flash-Lite release date tracked on LLM Stats.

How much does Gemini 3.5 Flash-Lite cost?

Gemini 3.5 Flash-Lite costs $0.30 per million input tokens and $2.50 per million output tokens through the LLM Stats API, which works with any OpenAI-compatible SDK. Across tracked providers, the lowest price is $0.30 per million input tokens via Google.

Is Gemini 3.5 Flash-Lite available via API?

Yes. Gemini 3.5 Flash-Lite is available through the LLM Stats API and works with any OpenAI-compatible SDK — point your client at the gateway base URL and pass the model name. It is served by 1 provider tracked on LLM Stats.

Who created Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite was created by Google.

What is the license for Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is released under the Proprietary license.

What is the knowledge cutoff date for Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite has a knowledge cutoff of March 2026, meaning it was trained on data up to that point and may not know about events after it.

Is Gemini 3.5 Flash-Lite multimodal?

Yes, Gemini 3.5 Flash-Lite is multimodal and can accept both text and images as input.

Where can I use Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is available through 1 provider including Google.

Where is the Gemini 3.5 Flash-Lite paper or technical report?

Gemini 3.5 Flash-Lite has a paper or technical report available at https://deepmind.google/models/evals-methodology/gemini-3-5-flash-lite/. Use that source for architecture, training, release and evaluation details.

What models should I compare Gemini 3.5 Flash-Lite against?

Common Gemini 3.5 Flash-Lite comparisons include Gemini 3.5 Flash-Lite vs Claude Opus 4.6, Gemini 3.5 Flash-Lite vs Gemini 3 Flash, Gemini 3.5 Flash-Lite vs MAI-Thinking-1. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.