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.
$0.405
output $3.375 · cached $0.0405
median $0.977 · best $0.0494
$3.375
per 1M tokens generated
median $3.531 · best $0.2164
96.37%
717 observations since 2026-05-02
median 96.2% · best 100.0%
41.9 tok/s
probe median, one fixed prompt
median 40.8 tok/s · best 308.3 tok/s
1.08 s
probe median, to a complete answer
median 2.50 s · best 0.52 s
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
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.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$68.36
$2.28 / day on Gemini 2.5 Flash
Same workload on:
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
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.
| Spec | Gemini 2.5 Flash | Gemini 3.8 Flash | Gemini 3.5 Flash Lite |
|---|---|---|---|
| Input /1M | $0.405 | $1.013 | $0.405 |
| Output /1M | $3.375 | $5.063 | $3.375 |
| Context | 1M | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 41.9 tok/s | Not measured | 57.3 tok/s |
Quick start
Up and running in under two minutes.
- 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
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
Stream responses
Add
"stream": trueto 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?
How much does the Gemini 2.5 Flash API cost?
Does Gemini 2.5 Flash support function calling?
Are the weights for Gemini 2.5 Flash publicly available?
Is Gemini 2.5 Flash ever served below the precision its creator released it at?
How do I use Gemini 2.5 Flash?
Does Kyma support prompt caching for this model?
How can I verify which model served my request?
Do the fast and long-context aliases work here?
More models by Google
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|---|---|---|---|
| 1M | $1.013 | $5.063 | |
| — | $0.0067 / min | ||
| 1M | $1.013 | $5.063 | |
| 1M | $1.013 | $5.063 | |
| 1M | $0.405 | $3.375 | |
| — | $0.0635 / min | ||
| 1M | $2.025 | $12.15 | |
| 128K | $0.0763 | $0.218 | |