Gemini 3.5 Flash API
Google's latest mid-tier model. Strong performance at a reasonable price point.
💰 Save up to 70% vs official Google pricingGemini 3.5 Flash — cheaper than the official Google API
Access Gemini 3.5 Flash through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | |
| Model Family | Gemini 3.5 Flash |
| Release Date | 2026-05 |
| Context Window | 1M |
| Max Output Tokens | 65,536 |
| Input Price | $1.50 / 1M tokens |
| Output Price | $9.00 / 1M tokens |
| Vision Support | Yes ✓ |
| Function Calling | No |
| JSON Mode | No |
| Streaming | No |
| Fine Tuning | Not Available |
| Status | Active ✓ |
Overview
Gemini 3.5 Flash is Google's current gemini model, released in 2026-05. Google's latest mid-tier model. Strong performance at a reasonable price point.
For developers, the headline numbers are a 1M context window and up to 65,536 output tokens per response — enough headroom for latest flash generation and strong performance without chunking your input. Priced at $1.50/1M input and $9.00/1M output, it sits in the mid-range — a sensible default for most production workloads.
On the capability side, Gemini 3.5 Flash exposes 3 features: Vision, Audio, Code Execution. 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 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 Different
How Gemini 3.5 Flash is used
Gemini 3.5 Flash is used for developer workflows that combine code with visual input — screenshot-to-code, UI debugging, autonomous coding agents that read screen output, and documentation parsing. It processes images and text in a single context window. Route pure text-only coding to a cheaper sibling if vision isn't needed.
Pricing position within Google
Gemini 3.5 Flash sits in the middle of Google's pricing at $1.50/1M input — 52% above the lineup average ($0.10 cheapest, $2.00 most expensive). 3 siblings cost less, 1 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.
Gemini 3.5 Flash's role in the lineup
Within Google's lineup, Gemini 3.5 Flash is a mid-tier option — balanced between cost and capability. The gemini family has 5 active variants, and Gemini 3.5 Flash occupies the upper 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: screenshot-to-code tools, UI test automation that reads rendered pages, coding agents that debug from visual output, and documentation extraction from images. Gemini 3.5 Flash bridges the gap between visual input and code output in one call.
vs sibling models
What makes Gemini 3.5 Flash different from sibling models: compared to Gemini 2.5 Pro ($0.25/1M cheaper, same 1M context); Gemini 2.5 Flash Lite ($1.40/1M cheaper, same 1M context); Gemini 2.0 Flash ($1.40/1M cheaper, same 1M context). Choose Gemini 3.5 Flash 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",
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",
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",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ✅ Supported |
| Audio / Voice Input | ✅ Supported |
| Function Calling | ❌ Not Available |
| JSON Mode | ❌ Not Available |
| Streaming | ❌ Not Available |
| Fine-Tuning | ❌ Not Available |
| Multimodal | ✅ Supported |
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 was released in 2026-05 by Google and is currently publicly available via AI API Hub.
Current Pricing: $1.50 per 1M input tokens · $9.00 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?
Gemini 3.5 Flash is Google's current gemini model. Google's latest mid-tier model. Strong performance at a reasonable price point. It offers a 1M context window and supports Vision, Audio, Code Execution. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does Gemini 3.5 Flash cost?
Gemini 3.5 Flash is priced at $1.50 per 1M input tokens and $9.00 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 vs GPT-5.5?
They're built for different jobs. Gemini 3.5 Flash costs $1.50/1M input with a 1M window; GPT-5.5 runs $5.00/1M input with 256K. Gemini 3.5 Flash is the more cost-effective pick and still brings latest flash generation. See the full side-by-side at /compare/gemini-3.5-flash-vs-gpt-5.5/.
Gemini 3.5 Flash context window?
Gemini 3.5 Flash 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 support function calling?
No, Gemini 3.5 Flash does not natively support function calling. For function calling use cases, consider Google's flagship models.
Is Gemini 3.5 Flash multimodal?
Yes, Gemini 3.5 Flash is fully multimodal — it can process text, images, and audio natively in a single request.
Gemini 3.5 Flash API rate limits?
Gemini 3.5 Flash rate limits: 2K 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 API?
Access Gemini 3.5 Flash 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". Start building in under 30 seconds.