Gemini 3.7 Flash Review: Features, Benchmarks & Pricing

Gemini 3.7 Flash is Google's August 2026 Flash model, released on August 13 and described by Google as its most intelligent workhorse model yet for coding and agents. It arrived just three weeks after Gemini 3.6 Flash with clear gains in coding and document work, at half its predecessor's launch price. If you use Gemini 3.5 Flash today, it is two versions ahead.

This Gemini 3.7 Flash review covers what changed, what the benchmark numbers show, what it costs, how it fits next to Gemini 3.8 Flash, which followed in September, and where its limits sit. It also covers access: Gemini 3.7 Flash is not yet integrated into Chat Smith, but several other Gemini models already are.

Gemini 3.7 Flash is a fast, low-cost multimodal model built for coding, agentic workflows, and multi-step reasoning. Google describes it as algorithmic improvements to the reasoning foundation of Gemini 3.6 Flash rather than a new architecture, with gains concentrated in code generation, web development, document-heavy knowledge work, and agent tasks.

It accepts text, images, video, audio, and PDFs, returns text, and supports a 1,048,576-token context window with up to about 64,000 tokens of output. Thinking levels run from low to high, with medium as the default, and it supports function calling, search, and computer use. Its predecessor is covered in our Gemini 3.6 Flash review.

Gemini 3.7 Flash did not stay the newest model for long. Gemini 3.8 Flash arrived on September 2, 2026 at the same price, and Google now recommends it for new projects, while 3.7 Flash remains fully supported.

Four areas show the biggest gains over Gemini 3.6 Flash.

On DeepSWE v1.1, which tests long-horizon software engineering, Gemini 3.7 Flash scores 65.3%, up from about 49% for Gemini 3.6 Flash and well ahead of Claude Sonnet 5 at 53.8%. On FrontierCode 1.1 Main, which grades production code quality, it reaches 43.6% against 34.4% for its predecessor, and its Code Arena web development Elo rose from 1538 to 1588.

On GDP.pdf, a test of expert-level questions about complex PDFs, Gemini 3.7 Flash scores 34.0%, up from 22.0% and ahead of Claude Sonnet 5's 28.0%. For everyday document work, such as running a long report through an AI PDF summarizer, this is one of the most practical improvements.

On AutomationBench, which tests end-to-end business workflows across apps, Gemini 3.7 Flash scores 30.4% against 17.0% for Gemini 3.6 Flash, nearly doubling its predecessor's result. That makes it a stronger choice for agents that need to complete several steps without hand-holding.

With a 1M-token context window and a 97.0% score on GDM-MRCR v2 at 128K tokens, a long-context retrieval test, Gemini 3.7 Flash can work reliably across large files. That helps when you need to summarize long articles or compare several documents in one conversation.

The table below uses Google's launch figures, comparing Gemini 3.7 Flash with its predecessor and with Claude Sonnet 5, a mid-tier rival in Google's table. Prices are API rates per million tokens.

The pattern is clear. Gemini 3.7 Flash beats its predecessor on every row and edges past Claude Sonnet 5 on coding and document tasks, at well under half its output price. Google later cut Gemini 3.6 Flash to the same introductory rate, so there is little reason to start new work on the older model.

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026 — half of Gemini 3.6 Flash's launch price. From January 1, 2027, the rates rise to $1.50 and $7.50. Cached input reads cost $0.075 per million tokens, and thinking tokens are billed as output.

• Developers: available as gemini-3.7-flash in the Gemini API and Google AI Studio, and through providers such as OpenRouter.
• Successor: Gemini 3.8 Flash costs the same per token and scores higher, so most new projects are better off starting there.
• Chat Smith: Gemini 3.7 Flash is not integrated yet. You can use Gemini 3.5 Flash and other Gemini models today, with higher usage limits on Chat Smith Pro at $9.99 per month or $39.99 per year.

Gemini 3.7 Flash was superseded within three weeks. Gemini 3.8 Flash costs the same per token and beats it on every benchmark in Google's table, including a jump from 65.3% to 73.7% on DeepSWE v1.1. Unless you have prompts tuned specifically for 3.7, the newer model is the better default.

It is also a Flash model, not a frontier one. In Google's own comparison, GPT-5.6 Terra still scores higher on DeepSWE v1.1 at 69.6%, and premium models remain stronger on long, multi-step automation.

Finally, budget for the price change. The introductory rate ends on December 31, 2026, and the benchmark figures are Google's own, so test Gemini 3.7 Flash against alternatives such as Claude Sonnet 5 on your real tasks.

Gemini 3.7 Flash is not integrated into Chat Smith yet, but several Gemini models already are. Pick one from the model list and start chatting on Android, iOS, or in the browser, with no Google AI subscription needed.

Gemini 3.5 Flash is the closest option for everyday work: fast answers, writing, research, and summaries at Flash-tier speed. For very quick, lightweight tasks, Gemini 3.1 Flash Lite is even lighter, and for longer documents or more careful analysis, Gemini 2.5 Pro offers more depth. Gemini 3.7 Flash's biggest gains show up mainly in coding agents, web development, and document-heavy work.

Because Chat Smith also includes models from OpenAI, Anthropic, xAI, and DeepSeek, you can put the same prompt to a Gemini model and its rivals and keep the answer that holds up. Chat Smith Pro adds higher usage limits and more premium models for $9.99 per month or $39.99 per year.

Gemini 3.7 Flash was a big step for Google's Flash tier: much stronger coding, better document understanding, nearly double the business-workflow score of its predecessor, and half the launch price. Its main drawback today is timing — Gemini 3.8 Flash replaced it within weeks at the same price.

If you want to use Google's models without an API key, the Gemini models already in Chat Smith are an easy way in. You can try them now in Chat Smith, an AI chatbot that puts Gemini next to the latest models from OpenAI, Anthropic, xAI, and DeepSeek.