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gemini-2.5-flash

Google/Proprietary/2 providers

Google's first hybrid reasoning model which supports a 1M token context window and has thinking budgets. Most balanced Gemini model, optimized for low latency use cases.More

Which id to call

gemini-2.5-flash@eu

Same routing, restricted to EU-hosted providers. Use this id when data residency is a requirement: requests never leave the EU.

From /1M input

$0.15

Google LLC (Gemini API)

Context

1.0M

66K output

Best first token

945ms

Google LLC (Gemini API)

Price spread

2.0x

13 endpoints

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

193/s↑ 8/s

Week of Sep 28, latest, median of 2 providerslog axis

Median tokens per second once generation starts, measured on traffic routed through Requesty through Oct 2. Hover a week to read it.more

The axis is logarithmic, because the lines here are more than 12x apart and a linear axis would press most of them flat. Each gridline is a step in ratio rather than a fixed amount. The axis is set by the bulk of the weeks, not by the extremes, so 2 weekly points sit off the frame and are marked with a caret at the edge: hover one for its figure. Stretching the axis to reach them would flatten every line worth comparing. The bold line starts in the week of Aug 3, the first week this model was called through Requesty, and the weeks shaded before it hold no sample for it. Each provider line is that provider's own median across every model it serves, which is the grain published per provider, so a provider line can cover weeks this model was not called in yet. The exact per-provider figures for this model are ranked below.

13 endpoints / 11 regions

Providers serving gemini-2.5-flash

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.more

The two panes rank gemini-2.5-flash as measured on Requesty traffic: by the provider that served it, and by the region the request came from, where the share is how much of that region's traffic this model carries. Whole-window figures, because that is the grain Requesty publishes per provider and per region.

By provider

lowest first
Google LLC (Gemini API)945ms
Google LLC (Vertex AI)1.8s
Median wait before the first token arrives. Bar length is the value, so the shortest bar wins.more

Whole-window figures as published, not an average of weekly points. Measured over streaming responses only, because a non streaming request has no first token event. A reasoning model thinks before it emits anything, so compare its wait against its reasoning share rather than against a non reasoning model.

By traffic region

highest first
United States205/s
Asia Pacific153/s
Europe-
Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.more

Whole-window figures as published, not an average of weekly points.

Providers serving gemini-2.5-flash, with pricing and measured performance. The best value in each column is highlighted.
RankCost 10wkPrivacy
1Google LLC (Gemini API)Global1.0M$0.15$1.25$0.03945ms-99.9%Google LLC (Gemini API): Cost by week, across every model it serveszdr
2Google LLC (Gemini API)Global1.0M$0.30$2.50$0.07945ms-99.9%Google LLC (Gemini API): Cost by week, across every model it serveszdr
3Google LLC (Vertex AI)Global1.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
4Google LLC (Vertex AI)europe-central21.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
5Google LLC (Vertex AI)europe-north11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
6Google LLC (Vertex AI)europe-west11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
7Google LLC (Vertex AI)europe-west41.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
8Google LLC (Vertex AI)europe-west81.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
9Google LLC (Vertex AI)us-central11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
10Google LLC (Vertex AI)us-east11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
11Google LLC (Vertex AI)us-east51.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
12Google LLC (Vertex AI)us-south11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr
13Google LLC (Vertex AI)us-west11.0M$0.30$2.50$0.071.82s-99.9%Google LLC (Vertex AI): Cost by week, across every model it serveszdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

gemini-2.5-flash@eu

Same routing, restricted to EU-hosted providers. Use this id when data residency is a requirement: requests never leave the EU.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="google/gemini-2.5-flash:flex", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

GPQA Diamondreasoning
79.0%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
13.1%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Google

Reference

gemini-2.5-flash questions

Which providers serve gemini-2.5-flash?

gemini-2.5-flash is available from 2 providers through Requesty: Google LLC (Gemini API), Google LLC (Vertex AI). All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does gemini-2.5-flash cost?

Pricing starts at $0.15 per million input tokens and $1.25 per million output tokens on Google LLC (Gemini API), the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is gemini-2.5-flash open weights?

No. gemini-2.5-flash is a proprietary model from Google, served through Google's own API and licensed cloud platforms.

What is the context window of gemini-2.5-flash?

gemini-2.5-flash supports up to 1.0M tokens of context, with up to 66K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

Which provider is fastest for gemini-2.5-flash?

In recent production traffic through Requesty, Google LLC (Gemini API) had the lowest median time to first token (945ms) for gemini-2.5-flash. Latency shifts over time, so Requesty's latency-based routing picks the fastest healthy provider per request automatically.

How do I use gemini-2.5-flash with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "google/gemini-2.5-flash:flex" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route gemini-2.5-flash through one endpoint

One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings