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Gemini 3.5 Flash

by Google DeepMind · Language Models

Context 1M tokens

Overview

Gemini 3.5 Flash is Google DeepMind's mid-2026 Flash-tier reasoning model, shipped May 19, 2026 at Google I/O on the Gemini 3 Flash foundation. It is natively multimodal, accepting text, images, audio, video and PDF input with a 1M-token context window and up to 64K output tokens, and supports adjustable thinking levels to trade quality against latency. It runs very fast (reported around 289 output tokens/sec) and posts strong agentic and coding benchmarks, in some cases beating 3.1 Pro, though it still trails Pro on the hardest reasoning tests. Ideal for high-volume agentic, coding and assistant workloads needing frontier-class quality without Pro-tier cost.

Context window1M tokens
Max output4K tokens
Input → Outputtext, image → text

Pricing

from $11.655 / 1M tokens

UsageRate (USD)Unit
Input tokens$1.94per 1M tokens
Cached input (cache hit)$0.19per 1M tokens
Output tokens$11.65per 1M tokens

TuneRouter live platform pricing · currency: USD · pre-deduction settled by actual usage

Call it in 30 seconds

OpenAI-compatible · base URL https://api.tunerouter.com/v1/

POST/chat/completions
curl https://api.tunerouter.com/v1/chat/completions \
  -H "Authorization: Bearer $TUNEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-3.5-flash", "messages": [{"role": "user", "content": "Hello!"}]}'

Model ID: gemini-3.5-flash · works with OpenAI SDKs — just point base_url at api.tunerouter.com

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