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Use Gemini 3.7 Flash for fast multimodal coding and agents. Review its intro pricing, 1M context, model ID, tools, strengths, and limits.
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Gemini 3.7 Flash is Google's stable multimodal reasoning model for coding and agents. The official model ID is gemini-3.7-flash. Google documents a 1,048,576-token input limit, 65,536-token output limit, text, image, video, audio, and PDF input, plus function calling, structured outputs, code execution, file search, and search grounding. Introductory pricing is $0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026.
| Fact | Current value |
|---|---|
| Provider | |
| Stable model ID | gemini-3.7-flash |
| Input / output limit | 1,048,576 / 65,536 tokens |
| Input modalities | Text, image, video, audio, and PDF |
| Output | Text |
| Intro API price | $0.75/1M input; $3.75/1M output through Dec. 31, 2026 |
| Thinking levels | Low, medium, and high |
| Best fit | Multimodal coding, agents, search-grounded and high-volume workflows |
| Main limitation | Promotional pricing expires; Computer Use remains preview |
| Verified | August 23, 2026 |
Official sources: Gemini 3.7 Flash model page, Gemini models, and Google model pricing.
Gemini 3.7 Flash is Google’s latest Gemini 3 Flash model for natively multimodal reasoning, coding, and agentic workflows. Google’s model documentation lists the stable model ID as gemini-3.7-flash and says the model supports text, image, video, audio, and PDF inputs with text output.
Google’s current API documentation marks Gemini 3.7 Flash as stable with an August 2026 update. Google lists introductory pricing of $0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026; verify the current pricing page before using those promotional rates in a production forecast.
Gemini 3.7 Flash is a practical candidate for multimodal applications, coding agents, document and media analysis, search-grounded workflows, and high-volume tasks that need a large context window without flagship-tier pricing. Test tool reliability, output quality, and the exact Google API route for your workload before committing to a long-running agent.
Atoms access, credits, and workspace behavior are separate from Google’s direct Gemini API pricing and limits. Check the current model selector when you start.
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