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Google: Gemini 3.5 Flash Lite API

gemini-3.5-flash-lite
Playground

Gemini 3.5 Flash Lite API minimizes input cost while retaining text, image, file, audio, and video support across a 1.05M context. It is aimed at broad first-pass processing rather than the highest logic score. [1]

Its high-reasoning row ranks #24 with a 22.82 median and 30.23 best score. The 188-second measured time is close to Gemini 3.5 Flash high, but the median is substantially lower. [1][2]

MODALITIES
Price$0.15 / $1.25 / 1MCONTEXT1.0486M

Playground

Test Gemini 3.5 Flash Lite API with representative production prompts before using gemini-3.5-flash-lite in a live workflow.

Providers

OpenRouter lists Gemini 3.5 Flash Lite API with text, image, video, file, and audio input, text output, and a 1.048576M context window. APINEED routing and prepaid rates are identified separately. [1]

API Need50% off
Uptime
Total Context
1.0486M
Max Output
65.536K
Input
$0.15/ 1M
Output
$1.25/ 1M
Cache Read
$0.015/ 1M
Cache Write
Route priced

Discount

The 50% APINEED discount changes official rates of $0.30 input, $2.50 output, and $0.03 cache read to $0.15, $1.25, and $0.015. The table compares official Gemini 3.5 Flash Lite API pricing with the APINEED prepaid rate.

Official
Provider baseline
Input $0.3/ 1MOutput $2.5/ 1M
Baseline

Availability

APINEED continuously monitors Gemini 3.5 Flash Lite API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.91% uptime

Gemini 3.5 Flash Lite API Benchmarks

Gemini 3.5 Flash Lite high ranks #24. Its result sits below Gemini 3.6 Flash high, clarifying that Lite prioritizes cost rather than equivalent reasoning quality. The complete LLM2014 logic 2026-07 table remains below, with Gemini 3.5 Flash Lite API highlighted when a current row exists. [2]

1stGPT-5.5 (xhigh)83.8077.467.57%494s30,811$25.51$29.57
2ndKimi-K3 (max)82.9174.809.78%1095s39,912$16.76$15.00
3rdClaude Opus 4.8 (xhigh)82.6266.7019.27%791s41,833$28.86$24.64
4thGPT-5.6 Sol (xhigh)81.9472.9910.92%369s17,433$14.43$29.57
5thClaude Opus 5 (xhigh)78.3871.888.29%426s26,392$18.21$24.64
6thQwen3.7-Max (xhigh)74.5666.9510.21%374s54,207$7.81$5.14
7thGLM-5.2 (max)73.6858.2720.91%890s45,683$5.12$4.00
8thGemini 3.1 Pro (high)73.3658.4620.31%214s25,905$8.58$11.83
9thGPT-5.6 Luna (xhigh)69.4951.9725.21%242s38,083$6.31$5.91
10thDeepSeek V4 Pro (max)68.0049.9726.51%1468s60,558$1.45$0.86
11thGrok 4.5 (high)67.5956.7216.08%451s43,372$7.18$5.91
12thMuse Spark 1.166.1857.2313.52%542s42,416$4.98$4.19
13thGemini 3.5 Flash (high)65.9260.398.39%188s36,372$9.03$8.87
14thDoubao-Seed-2.1-pro (high)58.6949.3515.91%2003s85,059$10.21$4.29
15thQwen3.7-Plus (high)58.5044.0924.63%1237s57,152$1.83$1.14
16thGemini 3.6 Flash (high)56.8741.7426.6%206s26,329$5.45$7.39
17thTencent Hy3 (high)54.4244.6018.04%1035s52,037$0.83$0.57
18thClaude Sonnet 5 (xhigh)51.3743.1416.02%529s44,118$12.18$9.86
19thDeepSeek V4 Flash (max)50.6236.2428.41%611s49,593$0.40$0.29
20thMiniMax-M349.1840.9416.75%985s56,467$1.90$1.20
21stClaude Opus 542.0831.7324.6%154s10,180$7.02$24.64
22ndClaude Opus 4.636.8825.7930.07%65s4,387$3.03$24.64
23rdDoubao-Seed-2.0-lite 0428 (high)35.3226.7724.21%656s26,726$0.38$0.51
24thGemini 3.5 Flash (minimal)33.2422.2233.15%44s6,189$1.54$8.87
25thLing-3.0-flash32.5320.6236.61%688s86,204$0.00$0.00
26thGemini 3.5 Flash Lite (high)30.2322.8224.51%188s18,297$1.26$2.46
27thGPT-5.5 Instant28.8717.6638.83%25s1,673$1.39$29.57
28thGemma 4 31B27.9122.0421.03%770s15,050$0.17$0.39
29thMiMo-V2.5-Pro26.9113.0051.69%478s29,443$0.71$0.86
30thQwen3.7-Plus26.1916.2338.03%314s8,692$0.28$1.14
31stStep-3.7-Flash26.1813.7447.52%258s44,912$1.46$1.16
32ndQwen3.5-27B24.9617.9827.96%451s26,391$0.51$0.69
33rdGemini 3.1 Flash Lite (high)23.7814.3039.87%82s28,351$1.17$1.48
34thClaude Sonnet 523.6410.8654.06%109s5,962$1.65$9.86
35thQwen3.7-Max22.4518.5317.46%196s6,710$0.97$5.14
36thERNIE 5.120.4915.4924.4%457s24,093$1.73$2.57
37thopenPangu-2.0-Flash19.8310.7645.74%571s28,199$0.18$0.23
38thLongCat-2.019.409.7449.79%395s14,886$0.48$1.14
39thDeepSeek V4 Flash19.3913.3731.05%63s5,286$0.04$0.29
40thMistral Medium 3.518.4413.8724.78%194s27,854$5.77$7.39
41stDoubao-Seed-2.1-pro17.499.7444.31%305s6,009$0.72$4.29
42ndGLM-5.214.8010.4329.53%23s953$0.11$4.00
43rdLing-2.6-1T13.058.3935.71%229s4,770$0.31$2.29
44thiFLYTEK Spark X212.396.2149.88%458s11,285$0.09$0.29
45thGemini 3.1 Flash Lite11.7910.2812.81%9s773$0.03$1.48
46thMistral Medium 3.510.837.1334.16%17s2,546$0.53$7.39
47thLing-2.6-flash10.074.8551.84%25s4,997$0.04$0.30

Quick Start

Connect Gemini 3.5 Flash Lite API without changing the OpenAI-style request shape. Use it for extraction, classification, media triage, and routing before escalating difficult cases. Structured outputs make its low input rate useful in repeatable pipelines.

1

Get your API key

Create an APINEED key for Gemini 3.5 Flash Lite API and keep it in an environment variable.

export API_NEED_API_KEY=sk-apineed-v1-...
2

Make your first request

Use gemini-3.5-flash-lite for Gemini 3.5 Flash Lite API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.

TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "gemini-3.5-flash-lite",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);
3

Enable streaming and fallbacks

Add stream: true when Gemini 3.5 Flash Lite API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.

curl https://apineed.com/v1/chat/completions \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.5-flash-lite",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Gemini 3.5 Flash Lite API Endpoint

Gemini 3.5 Flash Lite API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.

POST/v1/chat/completions
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
X-Title
optional - your site name, for rankings
Model
gemini-3.5-flash-lite

Parameters

Gemini 3.5 Flash Lite API parameters currently listed for gemini-3.5-flash-lite by the OpenRouter Models API. [1]

NameTypeStatusDescription
include_reasoningbooleanSupportedIncludes reasoning content in the response when available.
max_tokensintegerSupportedLimits generated output tokens.
reasoningobjectSupportedControls reasoning behavior and token allocation.
reasoning_effortenumSupportedSelects the model reasoning effort.
response_formatobjectSupportedRequests a specific response format.
seedintegerSupportedRequests deterministic sampling when supported by the provider.
stopstring or arraySupportedStops generation at the supplied sequence.
structured_outputsbooleanSupportedEnables schema-constrained structured output.
temperaturenumberSupportedControls sampling randomness.
tool_choicestring or objectSupportedControls which tool the model may call.
toolsarraySupportedDefines tools available to the model.
top_pnumberSupportedControls nucleus sampling.

Gemini 3.5 Flash Lite API Q&A

Model-specific answers for teams comparing Gemini 3.5 Flash Lite API on capability, benchmark evidence, integration, and cost.

What makes Gemini 3.5 Flash Lite API economical?

Its APINEED input rate is $0.15 per million tokens and cache reads cost $0.015 after the 50% discount.

Can Gemini 3.5 Flash Lite API process video and audio?

Yes. Text, image, file, audio, and video are listed input modalities, with text output.

Where does Gemini 3.5 Flash Lite API rank?

The high configuration ranks #24 with a 22.82 median in the current logic dataset.

Which workloads fit Gemini 3.5 Flash Lite?

For Gemini 3.5 Flash Lite API, high-volume extraction, tagging, summarization, and multimodal routing are stronger fits than the most difficult reasoning tasks.

Which endpoint serves Gemini 3.5 Flash Lite API?

Call Gemini 3.5 Flash Lite API through https://apineed.com/v1/chat/completions with gemini-3.5-flash-lite as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Gemini 3.5 Flash Lite API before release?

Evaluate Gemini 3.5 Flash Lite API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the Gemini 3.5 Flash Lite API on apineed.com

Deploy Gemini 3.5 Flash Lite API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.

1

Add credits for Gemini 3.5 Flash Lite API

Add credits on APINEED before deploying the Gemini 3.5 Flash Lite API. Pay-as-you-go billing lets usage start small and scale with production traffic.

2

Get your API key

Create an APINEED API key for the Gemini 3.5 Flash Lite API. The same key can call Gemini 3.5 Flash Lite and other AI APIs through apineed.com.

3

Set the model slug

Use gemini-3.5-flash-lite as the model value when you deploy the Gemini 3.5 Flash Lite API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Gemini 3.5 Flash Lite API

Send chat completions or responses to the Gemini 3.5 Flash Lite API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

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