Best Value
Google’s Gemini 3.1 Flash-Lite supports translation, extraction, and lightweight multimodal workflows, with minimal thinking by default.
At a glance
API model ID: gemini-3.1-flash-lite
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Start with minimal for bounded extraction and classification. Increase the thinking level only if tests show a quality improvement. Minimal does not guarantee zero thinking; difficult inputs can still require some reasoning.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Preserve customer-specific details while changing the language.
Translate these customer messages into Spanish. Keep message IDs, URLs, order numbers, prices, and product names unchanged. Preserve the original tone without adding promises. Return a JSON array with id and translation. Put unclear source phrases in a separate review list rather than guessing.
Workflow 02
Use a closed vocabulary for consistent downstream handling.
For each customer review below, select up to two tags from delivery, fit, durability, usability, and value. Return the review ID, tags, sentiment, and a supporting phrase copied from that review. Use unclassified if none fit. Do not infer the customer's identity or invent an experience they did not describe.
Workflow 03
Turn supplied material into a compact, checkable update.
Summarize the release notes I supply into three sections: user-visible changes, required actions, and known limitations. Keep version numbers and dates exact. Link each bullet to a heading in the source. If no action is required, say so; do not create upgrade instructions that are absent from the notes.
Developer reference
These are Google API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input (text / image / video) | $0.25 |
| Input (audio) | $0.50 |
| Cached input (text / image / video) | $0.025 |
| Cached input (audio) | $0.05 |
| Output (including thinking) | $1.50 |
| Usage | Rate and unit |
|---|---|
| Cache storage | $1.00per 1M tokens per hour |
| Google Search grounding (after allowance) | $14.00per 1,000 search queries |
| Google Maps grounding (after allowance) | $14.00per 1,000 search queries |
Common questions
Consider it for translation, classification, and short summaries. Supply clear constraints and assess correctness, latency, and total usage on your own examples before making it a default.
This Flash-Lite model supports minimal, low, medium, and high thinking levels, with minimal as the default. More thinking can increase response time and output-token cost; it is not a substitute for validation.
The Google model card supports these inputs and text output. Upload and tool availability depend on your integration. This does not make the model an image generator, voice generator, or Live API model.
3.1 Flash-Lite remains a distinct stable API ID. It has separate audio pricing and does not support computer use according to its model card. Evaluate it against 3.5 Flash-Lite using your own quality and cost targets.
Cache storage and grounding can add charges beyond ordinary input/output tokens. Audio input has a separate rate where shown. Review the units and free allowances in the provider pricing page.
No. Keep evidence relevant, specify the required output, request source references, and check the result. The 1,048,576 input-token limit and 65,536 output-token limit are different constraints.
No. This guide separates Google’s direct API reference from EZ Ai Assist subscriptions. Use the pricing page for plans and the app for current model access. The example prompts are starting points, not guaranteed results.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
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