KymaKyma
Google

Google

Gemini 2.5 Flash

#7 on Kyma

Gemini 2.5 Flash is Google’s fastest large-context model, built for high-throughput applications that process up to one million tokens. Reach for it when you need rapid multimodal ingestion, tool calling, or reasoning at a balanced cost.

Modalities

Text+Image → Text

Input

$0.2025 /1M

Output

$0.81 /1M

Cached input

$0.02025 /1M90% off

Context

1M

Speed

fast

Performance

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

Rank

#7

of 87 active models

Tokens served

90.8M

all-time

Success rate

100%

last 7 days

Median throughput57 tok/s
Total requests15,127
Platform share3.8%
Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1Python App1.4M 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.

$0.2025 /1M input$0.81 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.24/mo
Production1,000 req/day · 2K in / 500 out
~$24.30/mo
Scale20,000 req/day · 2K in / 500 out
~$486/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$21.02

$0.7006 / day on Gemini 2.5 Flash

Same workload on:

Gemini 3.5 Flash Lite$74.92+256%
Gemini 3.6 Flash$273+1201%

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 2.5 Flash

Updated 2026-07-29

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

The model accepts text, image, audio, and video inputs, returning text outputs. It supports structured outputs, tool use, and reasoning, making it suitable for agentic workflows and standard chat applications.

On Kyma, requests route through automatic failover paths and return exact billing in usage.cost. You can target it directly or use the fast and long-context aliases. Prompt caching applies a 90% discount to repeated prefixes, and the API remains fully OpenAI-compatible at https://kymaapi.com/v1.

Output generation caps at 8,192 tokens per request. In live traffic, it maintains a median throughput of 140 tokens per second and a 97.9% success rate across 90 million served tokens.

Multimodal Document Analysis

Ingests text, images, audio, and video to extract structured data or answer questions.

High-Throughput Chat Agents

Handles rapid conversational turns with tool calling and reasoning at low latency.

Long-Context Summarization

Processes up to one million input tokens to condense lengthy transcripts or logs.

Real-Time Media Processing

Accepts audio and video inputs for fast transcription and content tagging.

Not ideal for: Do not use this model for tasks requiring outputs longer than 8,192 tokens, such as generating full-length books or extensive codebases in a single pass.

How it compares

Against the peers people actually weigh it against.

SpecGemini 2.5 FlashGemini 3.5 Flash LiteGemini 3.6 Flash
Input /1M$0.2025$0.405$2.025
Output /1M$0.81$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-2.5-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-2.5-flash",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of Gemini 2.5 Flash?

Gemini 2.5 Flash has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the Gemini 2.5 Flash API cost?

$0.2025 per 1M input tokens and $0.81 per 1M output tokens, with cached input at $0.02025/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 2.5 Flash support function calling?

Yes — Gemini 2.5 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 2.5 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-2.5-flash. Signing up is free and includes $0.50 of credit — no card required.

Does Kyma support prompt caching for this model?

Yes, repeated prompt prefixes are billed at 10% of the standard input rate, applying a 90% discount to cached tokens.

How can I verify which model served my request?

Check the X-Kyma-Model response header for the exact model ID, and review usage.cost for precise billing.

Do the fast and long-context aliases work here?

Yes, both fast and long-context resolve directly to Gemini 2.5 Flash on Kyma.

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

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