Gemini 3.5 Flash-Lite API
The fastest, most cost-effective model in the Gemini 3.5 family. At $0.30/$2.50 with a 1M context window it is a strong default for high-volume applications.
💰 Save up to 70% vs official Google pricingGemini 3.5 Flash-Lite — cheaper than the official Google API
Access Gemini 3.5 Flash-Lite through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | |
| Model Family | Gemini 3.5 Flash-Lite |
| Release Date | 2026-07 |
| Context Window | 1M |
| Max Output Tokens | 65,536 |
| Input Price | $0.30 / 1M tokens |
| Output Price | $2.50 / 1M tokens |
| Vision Support | Yes ✓ |
| Function Calling | No |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Not Available |
| Status | Active ✓ |
Overview
Gemini 3.5 Flash-Lite is Google's current gemini model, released in 2026-07. The fastest, most cost-effective model in the Gemini 3.5 family. At $0.30/$2.50 with a 1M context window it is a strong default for high-volume applications.
For developers, the headline numbers are a 1M context window and up to 65,536 output tokens per response — enough headroom for cheapest gemini and fastest throughput without chunking your input. Priced at $0.30/1M input and $2.50/1M output, it sits in the budget tier — ideal for high-volume pipelines where token cost dominates.
On the capability side, Gemini 3.5 Flash-Lite exposes 3 features: Vision, Streaming, Multimodal. Note that fine-tuning isn't supported — you'll work with the base model. Vision support means you can pass images alongside text, handy for document parsing or UI automation.
The practical appeal of routing Gemini 3.5 Flash-Lite through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds — just swap your base URL.
What Makes Gemini 3.5 Flash-Lite Different
How Gemini 3.5 Flash-Lite is used
Gemini 3.5 Flash-Lite is used for document understanding, image-based Q&A, OCR-free receipt/invoice parsing, and screenshot analysis. Route pure text workloads to a cheaper non-vision sibling — the vision capability adds cost that's wasted on text-only tasks.
Pricing position within Google
Gemini 3.5 Flash-Lite sits in the middle of Google's pricing at $0.30/1M input — 69% below the lineup average ($0.10 cheapest, $2.00 most expensive). 2 siblings cost less, 4 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.
Gemini 3.5 Flash-Lite's role in the lineup
Within Google's lineup, Gemini 3.5 Flash-Lite is a mid-tier option — balanced between cost and capability. The gemini family has 7 active variants, and Gemini 3.5 Flash-Lite occupies the lower end. This makes it a safe default for production workloads where you're not sure which tier to pick.
Real-world use cases
Real-world deployments: OCR-free receipt and invoice parsing, screenshot analysis for support tickets, image-based content moderation, and visual Q&A for accessibility tools. Gemini 3.5 Flash-Lite reads images directly — no separate OCR step needed.
vs sibling models
What makes Gemini 3.5 Flash-Lite different from sibling models: compared to Gemini 3.6 Flash ($1.20/1M more expensive, same 1M context); Gemini 2.5 Pro ($0.95/1M more expensive, same 1M context); Gemini 2.5 Flash Lite ($0.20/1M cheaper, same 1M context). Choose Gemini 3.5 Flash-Lite when vision input is needed.
API Examples
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.apiyihe.org/v1"
)
response = client.chat.completions.create(
model="gemini-3.5-flash-lite",
messages=[
{"role": "user", "content": "Hello"}
]
)
print(response.choices[0].message.content)JavaScript / Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_KEY,
baseURL: "https://api.apiyihe.org/v1"
});
const response = await client.chat.completions.create({
model: "gemini-3.5-flash-lite",
messages: [
{ role: "user", content: "Hello" }
]
});
console.log(response.choices[0].message.content);cURL
curl https://api.apiyihe.org/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gemini-3.5-flash-lite",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ✅ Supported |
| Audio / Voice Input | ❌ Not Available |
| Function Calling | ❌ Not Available |
| JSON Mode | ❌ Not Available |
| Streaming | ✅ Supported |
| Fine-Tuning | ❌ Not Available |
| Multimodal | ❌ Not Available |
Benchmark Scores
| Benchmark | Score |
|---|---|
| MMLU | Not Publicly Available |
| GPQA | Not Publicly Available |
| SWE-Bench | Not Publicly Available |
| HumanEval | Not Publicly Available |
| GSM8K | Not Publicly Available |
| MATH | Not Publicly Available |
| MMMU | Not Publicly Available |
Pricing History
Gemini 3.5 Flash-Lite was released in 2026-07 by Google and is currently publicly available via AI API Hub.
Current Pricing: $0.30 per 1M input tokens · $2.50 per 1M output tokens. Pay-as-you-go with no minimum commitment.
Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs.
💡 Google occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC — no currency conversion fees.
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Frequently Asked Questions
What is Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is Google's current gemini model. The fastest, most cost-effective model in the Gemini 3.5 family. At $0.30/$2.50 with a 1M context window it is a strong default for high-volume applications. It offers a 1M context window and supports Vision, Streaming, Multimodal. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does Gemini 3.5 Flash-Lite cost?
Gemini 3.5 Flash-Lite is priced at $0.30 per 1M input tokens and $2.50 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.
Gemini 3.5 Flash-Lite vs GPT-5.6 Sol?
They're built for different jobs. Gemini 3.5 Flash-Lite costs $0.30/1M input with a 1M window; GPT-5.6 Sol runs $5.00/1M input with 1M. Gemini 3.5 Flash-Lite is the more cost-effective pick and still brings cheapest gemini. See the full side-by-side at /compare/gemini-3.5-flash-lite-vs-gpt-5.6-sol/.
Gemini 3.5 Flash-Lite context window?
Gemini 3.5 Flash-Lite has a 1M context window, capable of processing up to 1,048,576 tokens in a single request. Maximum output tokens: 65,536.
Does Gemini 3.5 Flash-Lite support function calling?
No, Gemini 3.5 Flash-Lite does not natively support function calling. For function calling use cases, consider Google's flagship models.
Is Gemini 3.5 Flash-Lite multimodal?
Partially — Gemini 3.5 Flash-Lite supports vision (image input) but not native audio processing.
Gemini 3.5 Flash-Lite API rate limits?
Gemini 3.5 Flash-Lite rate limits: 10K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider Google's faster variant models.
How to access Gemini 3.5 Flash-Lite API?
Access Gemini 3.5 Flash-Lite through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "gemini-3.5-flash-lite". Start building in under 30 seconds.
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