Gemini 3.5 Flash

GoogleMCP Tool CallReasoning

google/gemini-3.5-flashClosed API

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

Benchmark Pricing$1.50 / 1M in$9.00 / 1M out$0.15 cache read

Context: 1,048,576 tokens•Max Output: 65,536 tokens•Knowledge: 2025-01•Released: 2026-05-19

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 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

Terminal-Benchsuccess rate

76.2

SWE-Bench Proresolve rate

55.1

MCP Atlassuccess rate

83.6

Toolathlonsuccess rate

56.5

OSWorld-Verifiedsuccess rate

78.4

MMMU Proaccuracy

83.6

CharXiv Reasoningaccuracy

84.2

Humanity's Last Examaccuracy

40.2

ARC-AGI-2accuracy

72.1

GDPval-AAElo

1656

API CALL INVOCATION EXAMPLE

// Example: Calling Gemini 3.5 Flash 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",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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