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gemini-3.7-flashGoogle

from /1M in$0.75google llc (vertex ai)
context1.0M66K out
best ttft3.67sgoogle llc (vertex ai)
endpoints22 regions
endpoints
2
regions
2
best tok/s
389
api
chat
released
August 2026
eu routing
available

capabilities 6/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

2 / 2 regions
Providers serving gemini-3.7-flash, with pricing and measured performance. Best value in each column is coloured.
#flags
1Google LLC (Vertex AI)Global1.0M$0.75$3.75$0.073.67s389.0-zdr
2Google LLC (Vertex AI)eu1.0M$0.83$4.13$0.083.67s389.0-zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12
median
1.32s1.90s2.47s07-0608-0309-072.34s
hover the plot for weekly values
time to first token per provider: current value, window low and high, and change across the window
providernowlowhighchange
Google LLC (Vertex AI)3.67s1.42s2.38s+65%

median wait before the first token lands. this is the number a user feels, and it moves with provider load through the day.

Lines are steps: each sample is one week of traffic held flat, not a slide from the week before. Click a name in the key to drop it from the plot. Measured through Sep 12.

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond92.1
Coding Index71.5
SciCode59.8
Intelligence Index39.6
Humanity's Last Exam39.0
5 evalsmean60.4

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-08-13.

call it

model=
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

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
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)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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.

questions 6

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 the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
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.

more from google 6

Other Google models
modelcontextfrom /Mproviders
gemini-3.8-flash1.0M$0.751
gemini-3.6-flash1.0M$0.382
gemini-3.5-flash-lite1.0M$0.152
gemini-3.1-flash-image131K$0.252
gemini-3-pro-image1.0M$1.002
gemini-3.5-flash1.0M$0.752

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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

gemini-3.7-flash1 provider2 endpointsfrom $0.75 /1M inctx 1.0Mttft 3.67supdated Sep 12