Gemini 3.8 Flash is Google's multimodal reasoning model for coding, tool-driven applications and document work. It accepts text, images, audio, video and PDFs, and produces text.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Gemini 3.8 Flash is Google's multimodal reasoning model for coding, tool-driven applications and document work. It accepts text, images, audio, video and PDFs, and produces text.
The documented input limit is 1,048,576 tokens and the output limit is 65,536 tokens. Function calling and structured responses support application workflows; audio input does not make this a speech-output or Live API model. Choose a separate voice model when the response must be spoken.
When upgrading from Gemini 3.7 Flash, rerun the tasks that depend on tool arguments, document interpretation and long sequences of actions. Supported thinking levels are low, medium and high; minimal is unsupported. Test scanned pages, tables and conflicting passages using the same preprocessing your application uses. For an agent, log the actual arguments and results of each tool call.
The standard paid Gemini API rates through the publisher’s announced release are $0.75 input and $3.75 output per million tokens. The published rates from the publisher’s announced release are $1.50 and $7.50. Thinking output, caching, storage and grounding charges need to be included in a real budget.
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Gemini 3.8 Flash is listed for Audio-text-to-text, Image-text-to-text, Text generation, Video-text-to-text. It accepts text, image, audio, video, pdf and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 1.05M context and 65.54K maximum output. The listed route charges $0.75 input and $3.75 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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