Google

Gemini 3.5 Flash

Name: Gemini 3.5 Flash
Brand: Google
Price: 2.025 USD
Availability: InStock

Google's newest Gemini Flash on Kyma: a 1M-token context window with text, image, audio, and video input in one fast model. Reach for it when a request needs to see or hear something — or when the whole document has to fit in one request.

Modalities

Text+Image → Text

Input

$2.025 /1M

Output

$12.15 /1M

Cached input

$0.2025 /1M90% off

Context

Speed

fast

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

#17

of 87 active models

Tokens served

15.2M

all-time

Success rate

96.5%

last 7 days

Median throughput128 tok/s

Total requests897

Platform share0.6%

Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1OpenAI Python2.6M tok

2Python App408.9K tok

3Node.js App14.2K tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$2.025 /1M input$12.15 /1M output

Hobby10 req/day · 2K in / 500 out

~$3.04/mo

Production1,000 req/day · 2K in / 500 out

~$304/mo

Scale20,000 req/day · 2K in / 500 out

~$6,075/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$271

$9.03 / day on Gemini 3.5 Flash

Same workload on:

Gemini 3.5 Flash Lite$74.92-72%

Gemini 3.6 Flash$273≈

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use Gemini 3.5 Flash

Updated 2026-06-10

Where this model earns its cost — and where it doesn't.

Gemini 3.5 Flash is the newest Flash-class model from Google, built for long context, multimodal input, and fast reasoning. It sits in Kyma's frontier-open quality tier and takes text, images, audio, and video as input while returning text.

On Kyma it runs through the same OpenAI-compatible endpoint as every other model, with automatic failover if a serving path degrades. Prompt caching is supported, so repeated prompt prefixes — long system prompts, large documents you query more than once — bill at 10% of the input rate. Every response reports its exact cost in usage.cost.

The 1M-token context window is the headline capability: whole codebases, long transcripts, or large document sets fit in a single request. Function calling, structured outputs, and reasoning support round it out for agent work, not just one-shot prompts.

Video and audio analysis

Feed it video or audio directly — summarize recordings, extract what was said and shown, no separate transcription step.

Whole-corpus questions

The 1M context takes an entire codebase, contract set, or research archive in one request instead of a chunked retrieval pipeline.

Vision pipelines

Image understanding with structured outputs turns screenshots, documents, and photos into clean JSON your code consumes.

Fast reasoning at scale

A fast-tier model that also supports reasoning — multi-step analysis without leaving the fast tier.

Multimodal agents

Tool calling plus four input modalities lets one agent handle text, screenshots, and recordings without switching models.

Not ideal for: Long single-shot generations — output caps at 8K tokens — or cost-sensitive bulk text work, where its premium pricing buys multimodal range you wouldn't be using.

How it compares

Against the peers people actually weigh it against.

Spec	Gemini 3.5 Flash	Gemini 3.5 Flash Lite	Gemini 3.6 Flash
Input /1M	$2.025	$0.405	$2.025
Output /1M	$12.15	$3.375	$10.125
Context	1M	1M	1M
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	fast	fast	fast

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.5-flash",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

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

FAQ

Common questions about this model.

What is the context window of Gemini 3.5 Flash?

Gemini 3.5 Flash has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the Gemini 3.5 Flash API cost?

$2.025 per 1M input tokens and $12.15 per 1M output tokens, with cached input at $0.2025/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 3.5 Flash support function calling?

Yes — Gemini 3.5 Flash supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use Gemini 3.5 Flash?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to gemini-3.5-flash. Signing up is free and includes $0.50 of credit — no card required.

Is Gemini 3.5 Flash good for video understanding?

Yes — video is a first-class input alongside audio, images, and text. You can send a recording and ask questions about what happens in it directly, which collapses the usual transcribe-then-summarize pipeline into one call.

How does prompt caching change the economics here?

Gemini 3.5 Flash sits in Kyma's premium cost tier, and caching is where that gets manageable: repeated prompt prefixes — a long system prompt, a document you query more than once — bill at 10% of the input rate, a 90% discount on the cached portion. Every response reports its exact cost in usage.cost, so you can watch the discount land per request.

Why run Gemini 3.5 Flash through Kyma?

One API key and one OpenAI-compatible endpoint (base_url https://kymaapi.com/v1) covers this and every other model on the platform. You get automatic failover when a serving path degrades, exact per-request cost in usage.cost, and $0.50 of free credit to test with — no card required.

Start with $0.50 free credit — no card required.Create account →

More models by Google

See all 18 →

Model	Context	Input	Output
Gemini 3.6 Flash	1M	$2.025	$10.125
Gemini 3.5 Flash Lite	1M	$0.405	$3.375
Gemini 3.5 Live Translate	—	$0.0635 / min
Gemma 4 31B	128K	$0.0702	$0.2006
Gemini 3.1 Flash Live	—	$0.0389 / min
Nano Banana 3 Flash (preview)	—	$0.046 / image
Gemini 3 Flash (Audio)	—	$0.0026 / min
Gemini 3 Flash	1M	$0.3375	$1.35