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

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#22/70

$0.405

output $3.375 · cached $0.0405

median $0.977 · best $0.0494

Price · output#32/70

$3.375

per 1M tokens generated

median $3.531 · best $0.2164

Availability · 30d#32/68

96.37%

717 observations since 2026-05-02

median 96.2% · best 100.0%

Throughput#34/68

41.9 tok/s

probe median, one fixed prompt

median 40.8 tok/s · best 308.3 tok/s

Response time#6/68

1.08 s

probe median, to a complete answer

median 2.50 s · best 0.52 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 69. 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

#7

of 113 active models

Tokens served

91.9M

all-time

Platform share

2.8%

of all tokens

Tokens · last 15 daysAug 21Sep 4

Two clocks, and why they disagree

Kyma measures this model twice. Both are real; they answer different questions.

Probe · every 6h · 30 days

1.08s to answer

One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.

Observations
717
Answered by a substitute
19

Real traffic · last 7 days

10.04s to answer

Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.

Requests
40
Completed
85%
p95
51.7 s

Caching, as realised · last 7 days

7.0% of input cached

The share of input that actually hit cache, so the effective rate below is what was charged, not a best case.

Cached input
10.5K
Fresh input
139.3K
List input
$0.405 /1M
Effective input
$0.3795 /1M

The gap is prompt length, not the model degrading. Use the probe figure to choose between models, the traffic figure to budget for your own.

Pricing

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

$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 2.5 Flash

Same workload on:

Gemini 3.8 Flash$137+100%
Gemini 3.5 Flash Lite$74.92+10%

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 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 to repeated prefixes, and the API remains fully OpenAI-compatible at https://kymaapi.com/v1.

Output generation caps at 8,192 tokens per request. It runs in the fast speed tier and carries steady production volume on Kyma.

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 3.8 FlashGemini 3.5 Flash Lite
Input /1M$0.405$1.013$0.405
Output /1M$3.375$5.063$3.375
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput41.9 tok/sNot measured57.3 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-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?

$0.405 per 1M input tokens and $3.375 per 1M output tokens, with cached input at $0.0405/1M — 90% off the input rate 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.

Are the weights for Gemini 2.5 Flash publicly available?

No. Google does not publish Gemini 2.5 Flash's weights — it is reachable through an API rather than as a file you can download and run (https://huggingface.co/google, read 2026-08-14). That is Google's decision about their own product, not a limitation of Kyma.

Is Gemini 2.5 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 2.5 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 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 this model's cached input rate.

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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