Stronger coding than 3.6 Flash
Google reports 65.3% on DeepSWE v1.1 and 43.6% on FrontierCode 1.1 Main, up from 49.0% and 34.4% for 3.6 Flash.
The Gemini 3.7 Flash API for coding and agents, 58% below Google's list price
gemini-3.7-flashfrom openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="gemini-3.7-flash", messages=[{"role": "user", "content": "Explain quicksort in two sentences."}], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK.
Pricing
Pay as you go from prepaid credit, with no subscription and no minimum. Requests that fail are never billed.
| Rate | zurelay | Google list | You save |
|---|---|---|---|
Input per 1M tokens | $0.32 | 57%off | |
Output per 1M tokens | $1.59 | 58%off | |
Cached input per 1M tokens | $0.032 | — | — |
One rate at every prompt length, up to the full 1M context window. Streaming, tool calls and structured outputs cost nothing extra.
Move the sliders to your monthly usage.
$517.20 a year
Overview
Gemini 3.7 Flash is Google's Flash model for coding, agentic tool use and multi-step work, released on August 13, 2026. The zurelay Gemini 3.7 Flash API serves it through one OpenAI-compatible endpoint with a 1M-token context window, at 58% below Google's list price.
Google released Gemini 3.7 Flash on August 13, 2026, three weeks after Gemini 3.6 Flash, and called it its most intelligent workhorse model yet for coding and agents. The Gemini 3.7 Flash API model reads text, images, video, audio and PDFs and writes text. It takes up to 1,048,576 input tokens and writes up to 65,536 output tokens per response. On zurelay the model ID is gemini-3.7-flash, and it costs $0.32 per 1M input tokens and $1.59 per 1M output tokens.
Google's numbers show a clear step up from 3.6 Flash. It scores 65.3% on DeepSWE v1.1 against 49.0%, and 43.6% on FrontierCode 1.1 Main against 34.4%. On Arena.ai's WebDev Arena it has an Elo of 1588 against 1538. For document-heavy knowledge work it scores 34.0% on GDP.pdf against 22.0%, and 30.4% on AutomationBench against 17.0%. Google also says it adapts better to roadblocks, asks for clarification when needed and follows instructions more closely, which means fewer retries in agent loops.
Thinking is always on. Gemini 3.7 Flash supports the low, medium and high thinking levels, with medium as the default. The minimal level is not supported and returns an error. The model also supports function calling and structured outputs. Thinking tokens bill as output, so a lower level cuts both cost and latency on simple steps.
Google's list price for 3.7 Flash is an introductory rate that runs through December 31, 2026. Google doubles it on January 1, 2027. Gemini 3.8 Flash followed on September 2, 2026, and Google says 3.7 Flash remains fully supported for efficiency-first workloads. Google has not announced a shutdown date for it.
Strengths
Google reports 65.3% on DeepSWE v1.1 and 43.6% on FrontierCode 1.1 Main, up from 49.0% and 34.4% for 3.6 Flash.
Google says it adapts to roadblocks and follows instructions more closely. Multi-step tool loops need fewer retries and less oversight.
A 1M-token context with PDF, image, video and audio input. It scores 34.0% on GDP.pdf, a complex-document benchmark, against 22.0% for 3.6 Flash.
Builds more functional layouts in fewer prompts and follows a reference screenshot or design system closely. Its WebDev Arena Elo is 1588.
Use cases
Debugging, issue resolution and code generation in IDE and CLI agents, where better first-pass accuracy saves a round trip.
Turn a screenshot, mockup or design system into working front-end code.
Read long contracts, filings and research papers in fields like finance, law and biosciences, then extract, summarize or answer questions.
Run multi-step, tool-calling workflows with structured outputs, such as ticket triage or moving data between systems.
Get started
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to zurelay.
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
gemini-3.7-flashWorks with the tools you already use
Compare
$0.12 / $1.04 per 1M tokens
Pick Gemini 3.5 Flash-Lite for high-volume, latency-sensitive steps where speed and a lower list price matter more than peak coding quality.
Gemini 3.5 Flash-Lite API$0.10 / $0.59 per 1M tokens
Pick Gemini 3.1 Flash-Lite for the lowest list price of these three Gemini models on simple jobs like translation, moderation and extraction.
Gemini 3.1 Flash-Lite API$0.13 / $0.51 per 1M tokens
Pick MiniMax M2.7 for text-only coding and agent work on an open-weight model with a lower list price.
MiniMax M2.7 APIFAQ
Anything else, write to sales@zurelay.com and an engineer will answer.
On zurelay, gemini-3.7-flash costs $0.32 per 1M input tokens and $1.59 per 1M output tokens, with cached input at $0.032. Google's list price is $0.75 input and $3.75 output per 1M, so you save 58%. Thinking tokens bill as output, and the rate is the same at every prompt length.
Yes. zurelay serves gemini-3.7-flash at 58% below Google's list price, paid from prepaid credit with no subscription. Google's own price is an introductory rate that runs through December 31, 2026, and Google doubles it on January 1, 2027.
Install the official openai package, set base_url to https://api.zurelay.com/v1 and use your zurelay API key. Then send a Chat Completions request with model set to "gemini-3.7-flash". Messages, tools and streaming use the standard OpenAI request format.
Gemini 3.7 Flash takes up to 1,048,576 input tokens and writes up to 65,536 output tokens per response. The model accepts text, image, video, audio and PDF input and writes text.
Thinking is always on. The model supports low, medium and high, with medium as the default, and returns an error for minimal. Google's OpenAI-compatible API maps the reasoning_effort field to Gemini 3 thinking levels. Use low for quick tool steps and high for hard debugging.
Coding and agent work: debugging, issue resolution, front-end generation and multi-step tool use. It is also strong on long, complex documents, where Google reports clear gains over 3.6 Flash on GDP.pdf and AutomationBench.
Yes. Google released Gemini 3.8 Flash on September 2, 2026 and says 3.7 Flash remains fully supported for efficiency-first workloads. Google has not announced a shutdown date for gemini-3.7-flash.
Yes. Set stream: true, and add stream_options.include_usage to get token counts in the final chunk. Each zurelay API key can have its own monthly budget and requests-per-minute cap. Failed requests are retried on another route and never billed.
Yes, it is Google's Gemini 3.7 Flash model. Responses are sampled, so wording varies between runs, and zurelay does not promise byte-identical output. zurelay is independent and is not affiliated with or endorsed by Google.
Create a key in seconds, point the SDK you already use at zurelay, and every request costs up to 85% less from the first token.