Gemini 3.5 Flash

Google DeepMindgoogle/gemini-3.5-flashProviders: 7
Inputi$1.50per 1M tokens
Outputi$9per 1M tokens
Contexti1M1,048,576 tokens
ReleasedMay 19, 2026Max output: 64K

Where it stands

Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.

100110120130140150160170$0.01$0.03$0.1$0.3$1$3$10$30$100Overall indexPrice per million tokens, log scale (3 parts input to 1 part output)↖ Cheaper and smarterGemini 3.5 Flash
Scores: Epoch AI (CC BY 4.0). Prices: OpenRouter. View as a table

About this model

Gemini 3.5 Flash is an AI model from Google DeepMind, made available through the API on May 19, 2026. It can read up to 1,048,576 tokens in one request, roughly 1,966 pages of text, and write up to 65,536 tokens in a single answer. Besides text, it accepts images, video, files such as PDFs and audio as input.

Through the API it costs $1.50 per million input tokens and $9 per million output tokens. It is among the more expensive models we track, a price usually reserved for the most capable, flagship-class models.

It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software.

Quality scores

Rankings →
154.6Overall index · #29 of 136
  • SWE-bench VerifiedCan the model fix real bugs in real open-source software projects? Share of tasks solved.79.3%#2 of 28
  • GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.92.8%#15 of 116
  • AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.95.6%#25 of 112
  • FrontierMathOriginal, unpublished math problems written by professional mathematicians, from advanced to research level. Share solved.62.8%#29 of 73
  • SimpleQA VerifiedShort factual questions. Measures how often the model gets facts right instead of making something up.66.2%#11 of 69

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 7. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
GoogleOfficialCheapest
$0.75$4.501M98.7%
Google AI StudioOfficialCheapest
$0.75$4.501M99.9%
GoogleOfficial
$1.50$91M98.7%
Google AI StudioOfficial
$1.50$91M99.5%
GoogleOfficial
$1.65$9.901M—
GoogleOfficial
$2.70$16.201M99.9%
Google AI StudioOfficial
$2.70$16.201M99.9%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call Gemini 3.5 Flash through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-3.5-flash", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $3.45
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.084
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $1,530

Cost calculator →

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News about Google DeepMind

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Frequently asked questions

How much does Gemini 3.5 Flash cost?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $3.45.
What is the context window of Gemini 3.5 Flash?
Gemini 3.5 Flash can read up to 1,048,576 tokens in one request, about 1,966 pages of text. It can write up to 65,536 tokens in a single answer.
Is Gemini 3.5 Flash open source?
No. Gemini 3.5 Flash is a closed model: its weights are not published, so you use it through Google DeepMind’s own apps and API, or through cloud providers.
Who makes Gemini 3.5 Flash?
Gemini 3.5 Flash is made by Google DeepMind. It became available through the API on May 19, 2026.
How good is Gemini 3.5 Flash?
Gemini 3.5 Flash has an overall index of 154.6 in Epoch AI’s independent tests, ranking #29 of 136 models we track.
Can Gemini 3.5 Flash read images?
Yes. Besides text, it accepts images, video, files such as PDFs and audio as input.
What are the alternatives to Gemini 3.5 Flash?
Models with a similar price from other companies include Qwen3.7 Max, GLM 5.3 and Muse Spark 1.3. You can compare them side by side on this page.