Gemini 3.5 Flash Lite

GoogleMCP Tool CallReasoning

google/gemini-3.5-flash-liteClosed API

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Benchmark Pricing$0.30 / 1M in$2.50 / 1M out$0.03 cache read

Context: 1,048,576 tokens•Max Output: 65,536 tokens•Knowledge: 2026-03•Released: 2026-07-21

TECHNICAL SPECIFICATIONS

Context Window1,048,5761M tokens

Max Output65,53665.5K tokens

LicenseProprietaryCloud API only

Input Modalities

TextVisionPDFAudioVideo

Function / Tool CallingSupported (MCP Ready)

Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Gemini 3.5 Flash Lite natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 1,048,576 tokens, this model can handle extremely large MCP resource manifests, complete database schemas, and multiple active server tool definitions simultaneously without degradation.

STANDARDIZED BENCHMARKS & EVALS

SWE-Bench Proresolve rate

54.2

Terminal-Benchaccuracy

MLE-Benchaverage position score

39.2

GDPval-AAElo

1140

OSWorld-Verifiedsuccess rate

CharXiv Reasoningaccuracy

74.5

CharXiv Reasoningaccuracy

76.5

GDM-MRCRaccuracy

72.2

GDM-MRCRaccuracy

21.3

API CALL INVOCATION EXAMPLE

// Example: Calling Gemini 3.5 Flash Lite via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.GOOGLE_API_KEY,
});

const response = await client.chat.completions.create({
  model: "google/gemini-3.5-flash-lite",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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