Google’s Gemini 3.7 Flash combines multimodal inputs, configurable thinking, and structured tool workflows for repeatable everyday tasks.
At a glance
API model ID: gemini-3.7-flash
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Medium is the documented default. Try low for narrow extraction and high for tasks with interdependent constraints, then measure quality and latency. The minimal setting returns an error. Thinking levels do not set a strict token budget; higher thinking can increase billed output.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Extract consistent fields without filling evidence gaps.
Read these project intake documents and create one row per project with its goal, deadline, owner, dependencies, and unresolved requirements. Cite the document and section for each field. Use unknown when a value is absent. Flag conflicting dates and names for review, and do not silently combine separate projects.
Workflow 02
Separate observed values from explanations that need data.
Analyze the dashboard screenshot and supporting notes below. List the visible trends and anomalies, quoting the displayed labels and values. Separate observations from possible explanations. Identify the source data needed to verify each explanation. Finish with three focused follow-up questions; do not invent hidden metrics.
Workflow 03
Turn tool output into a bounded next-step recommendation.
Given the task, allowed tools, and tool results below, determine whether the evidence is sufficient to answer the user. Cite the fields you used, flag failures or stale data, and propose at most one additional read-only lookup if necessary. Do not claim that a proposed lookup has run. Return a concise answer with explicit uncertainty.
Developer reference
These are Google Gemini Developer API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.75 |
| Cached input | $0.075 |
| Output (including thinking) | $3.75 |
Common questions
Not automatically. Evaluate both against your quality, latency, and cost requirements, including regression cases. Keep model IDs explicit when reproducibility matters and review the lifecycle page independently of release announcements.
Medium. This model supports low, medium, and high; minimal is not accepted. If your integration hides the control, the API documentation alone does not tell you which setting that integration uses.
No. A cutoff is not a complete knowledge inventory. Google notes that some domains remain at January 2025, and the model can still be wrong about older material. Supply sources and ask it to distinguish evidence from inference.
The table separates cached input from ordinary input, and output includes thinking tokens. Stored-cache time is an additional charge. Processing tiers and tools can change total cost, so a single token rate is not a complete bill.
Yes—adapt these original editorial examples to the inputs and controls available in your workspace. Share only material you are authorized to provide. They are starting points, not benchmarks or a promise of a particular result.
No. The 1,048,576-token input limit is capacity, not a recall guarantee. Organize sources with names and sections, request citations, and check them. The separate maximum output is 65,536 tokens; actual requests must also fit integration limits.
No. The table describes direct Google API token usage. EZ Ai Assist subscriptions and app capabilities are separate. Use our pricing page for current plans and check the app for enabled models and controls.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
Same provider
Google’s Gemini 3.8 Flash supports multimodal understanding, three thinking levels, and tool-assisted workflows with promotional API pricing.
Google’s Gemini 3.1 Pro Preview supports complex synthesis, coding, and multimodal analysis with a 1M-token input limit.
Historical guide to Google’s retired Gemini 3 Pro Preview API, with specifications, migration checks, and the Gemini 3.1 Pro replacement.
Google’s Gemini 3.1 Pro Preview variant favors custom tools over bash; evaluate tool selection and answer quality for your workflow.