Google: Gemini 3.7 Flash
Analysis Summary
Google: Gemini 3.7 Flash has an intelligence index of 39.6, a coding index of 71.5, and an agentic index of 36.6. It supports tool use and function calling, offers a 1M-token context, and accepts text, images, files, audio, and video. This breadth makes it useful across software work, multimodal analysis, and long-document tasks, while the coding result is stronger than its agentic result.
The model is a practical candidate for client workflows that combine content or document intake with coding and tool-connected tasks. Its listed prices are $0.75 input and $3.75 output, so high-volume output generation should be routed carefully. The broad modality and context support reduce the need to split complex material across calls, but agentic performance merits testing for autonomous multi-step workflows. Use it for demanding mixed-input tasks and pair it with a cheaper model for routine traffic.
Assessed September 23, 2026
Editorial notes
Gemini 3.7 Flash combines very strong coding, a 1M-token context, and text, image, file, audio, and video input with tool calling; its agentic results are less pronounced than its coding results.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemini 3.7 Flash combines very strong coding, a 1M-token context, and text, image, file, audio, and video input with tool calling; its agentic results are less pronounced than its coding results.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Google: Gemini 3.7 Flash compares
Google: Gemini 3.7 Flash ranks #39 of 447 AI models we track for overall intelligence, #21 of 199 for coding, #39 of 181 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.75 per million input tokens it is cheaper than 28% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.75 | $0.000750 |
| Output | $3.75 | $0.003750 |
What would Google: Gemini 3.7 Flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.7 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step..
Frequently asked questions about Google: Gemini 3.7 Flash
How much does Google: Gemini 3.7 Flash cost?
Google: Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens.
What is the context window of Google: Gemini 3.7 Flash?
Google: Gemini 3.7 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.7 Flash good for coding?
On our coding benchmark index, Google: Gemini 3.7 Flash ranks #21 of 199 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.7 Flash do?
Google: Gemini 3.7 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.7 Flash?
Google: Gemini 3.7 Flash is developed by Google and was released on August 13, 2026.