> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tess.im/llms.txt
> Use this file to discover all available pages before exploring further.

# Gemini 3.7 Flash

Gemini 3.7 Flash (Google DeepMind) is the new Flash workhorse in Tess — built for **coding, production agents, and knowledge work**, with intro pricing at **half of Gemini 3.6 Flash** through 31 December 2026.

| **Model ID**<br /><br />`gemini-3.7-flash`                                                   | **Context**<br /><br />1M input / 64K output | **Provider**<br /><br />Google DeepMind | **Released**<br /><br />13 Aug 2026           |
| :------------------------------------------------------------------------------------------- | :------------------------------------------- | :-------------------------------------- | :-------------------------------------------- |
| **Capabilities**<br /><br /><Icon icon="brain" /><Icon icon="image" /><Icon icon="wrench" /> | **Speed**<br /><br />High                    | **Cost**<br /><br />Low (intro)         | **Intelligence**<br /><br />Text + multimodal |

## What changed vs Gemini 3.6 Flash

|                               | Gemini 3.6 Flash          | Gemini 3.7 Flash                 |
| ----------------------------- | ------------------------- | -------------------------------- |
| Focus                         | Token efficiency + coding | Coding + agents + knowledge work |
| Context                       | 1M / 64K                  | 1M / 64K                         |
| DeepSWE (long-horizon coding) | 49.0%                     | **65.3%**                        |
| Tess credits / 100 tokens     | 0.072 in / 0.360 out      | **0.036 in / 0.180 out**         |
| Modalities                    | Text, image, audio, video | Text, image, audio, video        |

Native **reasoning**, **tools** (function calling / MCP, search, computer use), and **vision**. Strong fit for multi-agent coding subagents in production.

## Pricing (Tess credits)

Values follow [Models and Costs](/en/models-and-cost) (credits per 100 tokens). Intro rate through **31 December 2026**:

| Model            | Input / 100 tokens | Output / 100 tokens |
| ---------------- | ------------------ | ------------------- |
| Gemini 3.7 Flash | 0.036              | 0.180               |

> **Screenshot placeholder — model picker:** Capture the chat model selector with **Gemini 3.7 Flash** selected.

## Ideal use cases in Tess

1. Production coding agents (long-horizon tasks, +16 pts DeepSWE vs 3.6)
2. Multi-step agent workflows — planning, tool loops, error recovery
3. Knowledge work — financial documents and business reports
4. Web development against visual references
5. Low-cost subagents during the intro pricing window
6. Multimodal turns (text + image + audio + video)

<Tip>
  **Best practices**

  * Prefer **3.7 Flash** over 3.6 Flash for coding agents and complex multimodal jobs — same context, lower cost, higher coding quality.
  * Keep **3.5 Flash-Lite** for high-volume extraction, classification, and summarization.
  * Intro pricing is time-boxed: plan volume before 31 Dec 2026 if cost is the main reason to switch.
</Tip>

See also: [Gemini Flash](/en/gemini-flash) · [Models and Costs](/en/models-and-cost) · [Gemini 3.7 Flash (Google)](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-flash/).