AI Coding tool profile
Gemini 3.8 Flash
A stable Google Gemini API model for long-horizon software engineering, autonomous agents, and complex enterprise workflows, with multimodal inputs, tool support, structured outputs, and adjustable thinking.
- Best for
- Developers who want to evaluate a long-context, tool-capable Gemini API model for coding agents and complex multi-step workflows.
- Starting point
- Google's Gemini API pricing lists $0.75 per 1 million input tokens and $3.75 per 1 million output tokens, i...
- Free plan
- Yes — Google's Gemini API pricing page describes a free tier with limited model access and free input a...
- Key limitation
- API list prices are usage-based and do not guarantee a fixed monthly bill or lower total cost for every workflow.
Choose it if
Developers who want to evaluate a long-context, tool-capable Gemini API model for coding agents and complex multi-step workflows.
Avoid it if
- API list prices are usage-based and do not guarantee a fixed monthly bill or lower total cost for every workflow.
- Google's benchmark and capability claims are vendor-reported; client compatibility, latency, tool reliability, and output quality require an independent test.
- The model accepts text, image, video, audio, and PDF inputs but produces text output; it is not a video, image, or audio generation model.
Free-plan suitability
Google's Gemini API pricing page describes a free tier with limited model access and free input and output tokens; paid access provides higher rate limits and production features. Confirm current eligibility, quotas, and data-use terms in Google's documentation.
Where it fits
Developers who want to evaluate a long-context, tool-capable Gemini API model for coding agents and complex multi-step workflows.
Pricing note
Google's Gemini API pricing lists $0.75 per 1 million input tokens and $3.75 per 1 million output tokens, including thinking tokens, through December 31, 2026; listed rates increase from January 1, 2027. Batch, Flex, Priority, caching, and grounding have separate pricing details. Verify current Google pricing before budgeting.
Verify the current plan, credits, output limits, and commercial terms before purchasing.
Price update alerts
Email alerts are not enabled yet. Recheck the official plan page before buying because prices and limits can change.
Is it legit?
Who is behind Gemini 3.8 Flash, where it is based, and what is publicly known about its funding. Company details change — verify on the official site before committing.
Free plan details
Google's Gemini API pricing page describes a free tier with limited model access and free input and output tokens; paid access provides higher rate limits and production features. Confirm current eligibility, quotas, and data-use terms in Google's documentation.
Trade-offs to check
- API list prices are usage-based and do not guarantee a fixed monthly bill or lower total cost for every workflow.
- Google's benchmark and capability claims are vendor-reported; client compatibility, latency, tool reliability, and output quality require an independent test.
- The model accepts text, image, video, audio, and PDF inputs but produces text output; it is not a video, image, or audio generation model.
- Model access, quotas, terms, pricing modes, and provider integrations can change; verify the current documentation before production use.
What Gemini 3.8 Flash does
- Stable model endpoint: gemini-3.8-flash
- 1,048,576-token input limit and 65,536-token output limit
- Multimodal inputs: text, image, video, audio, and PDF; text output
- Function calling, code execution, file search, structured outputs, URL context, search grounding, and computer use in preview
- Thinking at low, medium, and high effort; minimal effort is not supported
- Batch, Flex, and Priority inference options documented by Google
Evaluation guide
Step-by-step evaluation guides for Gemini 3.8 Flash — workflow fit, pricing, rights, and a same-input test before paying.
Official sources
These links are retained beside the catalog record so changing details can be rechecked.