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Google

Google

Gemini 3 Flash

#8 on Kyma

Google's newest Gemini on Kyma, pairing a 1M-token context window with text, image, audio, and video inputs — the model to reach for when a request needs to see, hear, or read a lot at once.

Modalities

Text+Image → Text

Input

$0.3375 /1M

Output

$1.35 /1M

Cached input

$0.03375 /1M90% off

Context

1M

Speed

fast

Performance

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

Rank

#8

of 87 active models

Tokens served

86.9M

all-time

Success rate

100%

last 7 days

Median throughput49 tok/s
Total requests13,156
Platform share3.7%
Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1OpenClaw192.4K 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.

$0.3375 /1M input$1.35 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.40/mo
Production1,000 req/day · 2K in / 500 out
~$40.50/mo
Scale20,000 req/day · 2K in / 500 out
~$810/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$35.03

$1.17 / day on Gemini 3 Flash

Same workload on:

Gemini 3.5 Flash Lite$74.92+114%
Gemini 3.6 Flash$273+680%

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 Flash

Updated 2026-06-10

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

Gemini 3 Flash is the newest Gemini from Google, built for long-context work and reasoning. It sits in Kyma's frontier-open quality tier and accepts text, images, audio, and video in a single request, returning text — with extended reasoning available when the problem calls for it.

On Kyma it's a top-10 model by production traffic — ranked 8th of 62 by tokens served, with a 99.8% success rate across recent requests. Python apps and the OpenClaw coding agent lead its traffic. Every call gets automatic failover if a serving path degrades, and prompt caching bills repeated prompt prefixes at 10% of the input rate, which matters at this context size — resending a large cached prefix costs a fraction of the first pass.

The 1,048,576-token context window comes with function calling and structured outputs, so the long context is usable inside agent pipelines, not just for one-off summarization.

Whole-corpus analysis

The 1M-token window fits entire codebases, document sets, or transcript archives in one request instead of a retrieval pipeline.

Video and audio understanding

Send recordings, screen captures, or audio directly — no separate transcription step — and ask questions about what's in them.

Vision tasks

Screenshots, diagrams, charts, and scanned documents go in as images alongside your text prompt.

Reasoning over long inputs

Extended reasoning plus the huge context handles analysis that requires holding a lot of material in view at once.

Long-context agents

Function calling and structured outputs keep multi-step agents reliable even as the working context grows toward the 1M-token window.

Not ideal for: Single responses that need to run very long — output is capped at 8K tokens per request, so generating a book-length draft means chunking; and it sits in the premium cost tier, so high-volume simple tasks are cheaper on a lighter model.

How it compares

Against the peers people actually weigh it against.

SpecGemini 3 FlashGemini 3.5 Flash LiteGemini 3.6 Flash
Input /1M$0.3375$0.405$2.025
Output /1M$1.35$3.375$10.125
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Speedfastfastfast

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-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-flash",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of Gemini 3 Flash?

Gemini 3 Flash has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the Gemini 3 Flash API cost?

$0.3375 per 1M input tokens and $1.35 per 1M output tokens, with cached input at $0.03375/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 3 Flash support function calling?

Yes — Gemini 3 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 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-flash. Signing up is free and includes $0.50 of credit — no card required.

Can Gemini 3 Flash understand video and audio, or just images?

All three. It accepts text, image, audio, and video inputs in the same request, which makes it the model to pick on Kyma when your input isn't just text — meeting recordings, screen captures, and multimedia documents can go straight in without a separate transcription or frame-extraction step.

How does prompt caching change the cost of working with large prompts?

The first pass over a large input bills at the full input rate, but repeated prompt prefixes — the common pattern for agents and multi-turn analysis over the same corpus — bill at 10% of that. Responses include the exact cost in usage.cost, so you can verify what each request actually cost.

Why use Gemini 3 Flash through Kyma?

One API key and one OpenAI-compatible endpoint covers this and every other model on the platform. You get automatic failover when a serving path degrades — it's currently running at a 99.8% success rate on Kyma — plus prompt caching at a 90% discount and $0.50 of free credit to start, no card required.

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

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GoogleGemini 3.5 Flash1M$2.025$12.15
GoogleGemma 4 31B128K$0.0702$0.2006
GoogleGemini 3.1 Flash Live—$0.0389 / min
GoogleNano Banana 3 Flash (preview)—$0.046 / image
GoogleGemini 3 Flash (Audio)—$0.0026 / min