# Gemini prompt patterns cheatsheet (2026 production playbook)

**Source:** https://promtable.com/cheatsheet/gemini-prompt-patterns

> Production-tested Gemini prompt patterns: leveraging the 1M context window, structured-output mode, native multimodal input, Gemini's quirks vs Claude/GPT, and the Workspace integration tricks.

---
Production-tested Gemini prompt patterns: leveraging the 1M context window, structured-output mode, native multimodal input, Gemini's quirks vs Claude/GPT, and the Workspace integration tricks.

**Tool:** Gemini 2 Pro / Flash

## Use the 1M context window properly

Gemini 2 Pro's headline feature is 1M tokens. Make sure you're getting value from it.

| Item | Description | Example |
|---|---|---|
| `Put critical content at the head + tail` | Recall is best at boundaries; the middle drops accuracy. |  |
| `Use needle-in-haystack tests on your data` | Public benchmarks don't predict your domain — run your own. |  |
| `Prompt cache the static frame` | If you reuse a long context block, the cached prefix is materially cheaper. |  |

## Structured output

| Item | Description | Example |
|---|---|---|
| `response_mime_type: 'application/json'` | Force JSON output. |  |
| `response_schema: { ... }` | Constrained generation against a JSON schema. The cleanest way to extract structured data. |  |
| `Function calling` | Same shape as OpenAI / Anthropic. Works well for tool-use loops. |  |

## Multimodal input

| Item | Description | Example |
|---|---|---|
| `Pass images as inline_data` | Base64 + mime type. Easy for image input. |  |
| `Video understanding` | Gemini 2 Pro natively summarises and answers questions over video files. |  |
| `Audio input` | Native audio transcription + understanding (no separate ASR needed for many flows). |  |

## Gemini quirks vs Claude / GPT

| Item | Description | Example |
|---|---|---|
| `Refusal rate is higher` | Gemini refuses more edge prompts than Claude or GPT-4o. Rephrase if you hit a refusal on a benign task. |  |
| `Tighter system-prompt adherence than 2024 versions` | Worth a re-test if you last evaluated Gemini in 2024. |  |
| `Workspace context` | Inside Workspace (Docs, Sheets, Slides, Gmail) Gemini sees the document — exploit this for long-document workflows. |  |

## Gemini Deep Research

| Item | Description | Example |
|---|---|---|
| `Use for` | Long-form research synthesis across 20+ web sources. |  |
| `Tip` | Tight scope wins — "Compare X vs Y on A, B, C with cited sources" beats "tell me about X". |  |

## FAQ

### How do I force JSON output on Gemini?

Set response_mime_type='application/json' and supply response_schema for constrained generation.

### Does Gemini really use the full 1M context?

Recall past ~600K shows degradation. For summarisation and chunk-level QA, 1M still works well; for needle-in-haystack reliability, keep critical content at head + tail.

### Should I use Gemini for coding?

Capable but trails Claude 4.6 Sonnet for serious code work in 2026. Strong as a long-context code-reading model.

## Related

- [/glossary/context-window](https://promtable.com/glossary/context-window)
- [/glossary/json-mode](https://promtable.com/glossary/json-mode)
- [/compare/gpt-4o-vs-gemini-2-pro](https://promtable.com/compare/gpt-4o-vs-gemini-2-pro)
- [/compare/claude-vs-gpt-4o](https://promtable.com/compare/claude-vs-gpt-4o)

*Last updated: 2026-06-01*
---

Original page: https://promtable.com/cheatsheet/gemini-prompt-patterns
Maintained by Promtable (https://promtable.com). Content: CC BY 4.0. Cite as "Promtable — https://promtable.com/cheatsheet/gemini-prompt-patterns".
Contact: info@vibecodingturkey.com.