KymaKyma
Google

Google

Gemini 3.5 Flash

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

Below release

Not established

Weights

Not published

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#45/59

$2.025

output $12.15 · cached $0.2025

median $1.009 · best $0.0494

Price · output#48/59

$12.15

per 1M tokens generated

median $3.528 · best $0.2164

Availability · 30d#19/59

98.9%

453 observations since 2026-05-24

median 98.1% · best 100.0%

Throughput#3/59

127.5 tok/s

probe median, one fixed prompt

median 39.8 tok/s · best 312.8 tok/s

Response time#29/59

2.19 s

probe median, to a complete answer

median 2.25 s · best 0.83 s

Context

1.05M

max output 8,192

published by Google, not measured here

Tick above each rail is this model, below it the other 58. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#17

of 104 active models

Tokens served

15.2M

all-time

Platform share

0.5%

of all tokens

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$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
1,000
2,000
500
30%

Estimated monthly cost

$271

$9.03 / day on Gemini 3.5 Flash

Same workload on:

Gemini 3.5 Flash Lite$74.92-72%
Gemini 3.1 Pro$405+49%

Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and 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 this model's cached 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.

SpecGemini 3.5 FlashGemini 3.5 Flash LiteGemini 3.1 Pro
Input /1M$2.025$0.405$2.70
Output /1M$12.15$3.375$16.20
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput127.5 tok/s60.2 tok/s96.3 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit, no card required.

    Get API key →
  2. 2

    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."}
    ]
  }'
  3. 3

    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 — 90% off the input rate 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.

Are the weights for Gemini 3.5 Flash publicly available?

No. Google does not publish Gemini 3.5 Flash's weights — it is reachable through an API rather than as a file you can download and run (https://deepmind.google/models/model-cards/gemini-3-5-flash/, read 2026-08-14). That is Google's decision about their own product, not a limitation of Kyma.

Is Gemini 3.5 Flash ever served below the precision its creator released it at?

Kyma cannot say, and for this model nobody can. Google does not publish Gemini 3.5 Flash's weights, so there is no released checkpoint whose precision a route could be measured against. We publish "not established" rather than reading a low format as a downgrade: on several models in this catalogue a low format is exactly how the creator ships it.

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 this model's cached input rate, listed beside the input rate above. 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 →

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