KymaKyma
Google

Google

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a cost-optimized, high-throughput model built for processing massive context windows. Reach for it when you need fast, inexpensive text generation from multimodal inputs at scale.

Modalities

Text+Image → Text

Input

$0.405 /1M

Output

$3.375 /1M

Cached input

$0.0405 /1M90% off

Context

1M

Speed

fast

Performance

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

Rank

#58

of 87 active models

Tokens served

8.0K

all-time

Success rate

100%

last 7 days

Median throughput72 tok/s
Total requests95
Platform share0.0%
Tokens · last 15 daysJul 19 → Aug 2

Pricing

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

$0.405 /1M input$3.375 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.75/mo
Production1,000 req/day · 2K in / 500 out
~$74.92/mo
Scale20,000 req/day · 2K in / 500 out
~$1,499/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$68.36

$2.28 / day on Gemini 3.5 Flash Lite

Same workload on:

Gemini 3.6 Flash$273+300%
Gemma 4 31B$7.22-89%

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 Lite

Updated 2026-07-29

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

This model is Google's entry-level tier for 1M-token context windows. It accepts text, images, audio, and video as input, but generates text-only output. The architecture prioritizes throughput and low latency, making it suitable for batch processing and high-volume workloads.

On Kyma, the model runs through an OpenAI-compatible endpoint with automatic request failover. It supports tool calling and prompt caching, which bills repeated prefixes at 10% of the standard input rate. Every response includes exact usage costs in the usage.cost field and identifies the routed model via the X-Kyma-Model header.

The model caps output at 8,192 tokens and does not support native structured outputs or explicit reasoning traces. Thinking tokens are included in the output pricing, so monitor token counts if your prompts trigger internal processing.

High Volume Document Analysis

Process long reports or transcripts to extract key data points without hitting context limits.

Automated Content Categorization

Route large batches of user messages or logs into predefined labels using tool integration.

Audio And Video Summarization

Condense multimedia recordings and image sets into concise text summaries.

Fast Interactive Chat Routing

Handle lightweight conversational turns where response speed matters more than complex reasoning.

Not ideal for: Do not use this model for tasks requiring explicit reasoning chains, strict JSON schema enforcement, or outputs longer than 8,192 tokens.

How it compares

Against the peers people actually weigh it against.

SpecGemini 3.5 Flash LiteGemini 3.6 FlashGemma 4 31B
Input /1M$0.405$2.025$0.0702
Output /1M$3.375$10.125$0.2006
Context1M1M128K
ToolsYesYesYes
ReasoningYesYesYes
Speedfastfastmedium

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

FAQ

Common questions about this model.

What is the context window of Gemini 3.5 Flash Lite?

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

How much does the Gemini 3.5 Flash Lite API cost?

$0.405 per 1M input tokens and $3.375 per 1M output tokens, with cached input at $0.0405/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 3.5 Flash Lite support function calling?

Yes — Gemini 3.5 Flash Lite 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 Lite?

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-lite. Signing up is free and includes $0.50 of credit — no card required.

Does this model support structured JSON outputs natively?

No, it does not support structured outputs. You will need to parse the generated text manually or route the request to a model with native schema enforcement.

How does prompt caching affect my input costs?

Kyma bills cached prompt prefixes at 10% of the standard input rate, applying a 90% discount to repeated context across requests.

Can I send audio and video files directly to the API?

Yes, the model accepts text, image, audio, and video inputs, though it only generates text responses.

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

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