Requesty
Google logo

gemini-3.7-flash

Google/Proprietary/1 provider

Gemini 3.7 Flash is the high efficiency agentic workhorse of the Gemini 3 family. It delivers Pro level agentic capabilities with major leaps in code generation and terminal execution, bridging deep reasoning Pro models and high throughput Flash Lite models.More

Which id to call

gemini-3.7-flash

Requesty routes this id across every provider serving gemini-3.7-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.75

$1.50 list

Google LLC (Vertex AI)

Context

1.0M

66K output

Best first token

3.35s

Google LLC (Vertex AI)

Regions

2

419 tok/s best

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

403/s↑ 184/s

Week of Sep 28, latest, median of 1 provider

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

The bold line starts in the week of Aug 10, 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.

2 endpoints / 2 regions

Providers serving gemini-3.7-flash

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

The pane ranks the regions on how gemini-3.7-flash performed for requests coming from each one, 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 traffic region

highest first
United States477/s
Europe379/s
Asia Pacific157/s
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-3.7-flash, with pricing and measured performance. The best value in each column is highlighted.
RankCost 10wkPrivacy
1Google LLC (Vertex AI)50% offGlobal1.0M$1.50$0.75$7.50$3.75$0.073.35s419.0-Google LLC (Vertex AI): Cost by week, across every model it serveszdr
2Google LLC (Vertex AI)50% offeu1.0M$1.65$0.83$8.25$4.13$0.083.35s419.0-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-3.7-flash

Requesty routes this id across every provider serving gemini-3.7-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

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.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
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="gemini-3.7-flash", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Coding Indexcoding
71.5%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
92.1%

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

Intelligence Indexreasoning
39.6%

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-3.7-flash questions

Which providers serve gemini-3.7-flash?

gemini-3.7-flash is available from 1 provider through Requesty: 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-3.7-flash cost?

Pricing starts at $0.75 per million input tokens and $3.75 per million output tokens on Google LLC (Vertex AI), 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-3.7-flash open weights?

No. gemini-3.7-flash is a proprietary model from Google, served through Google's own API and licensed cloud platforms.

What is the context window of gemini-3.7-flash?

gemini-3.7-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.

How do I use gemini-3.7-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 "gemini-3.7-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call gemini-3.7-flash by its managed id or a provider id?

Use the managed id, "gemini-3.7-flash". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. There is also an EU-only id, "gemini-3.7-flash@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "vertex/gemini-3.7-flash" only when you need one specific deployment and want no failover.

Route gemini-3.7-flash through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings