Best Overall
Google’s stable Gemini 2.5 Flash combines multimodal input and adjustable thinking budgets. Direct API access is restricted to prior users.
At a glance
API model ID: gemini-2.5-flash
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Dynamic thinking is the default. Set a budget from 0–24,576 tokens; 0 disables thinking and -1 restores dynamic allocation. Thinking consumes output tokens, so reserve enough room for the answer.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Separate explicit commitments from suggestions.
From the meeting notes below, extract decisions, action items, owners, and deadlines. Quote the phrase supporting each assignment. Mark missing owners or dates as unassigned instead of inventing them. List unresolved questions separately and finish with a short summary suitable for attendees.
Workflow 02
Use a supplied recording only where video input is available.
Review this product walkthrough video for onboarding friction. For each observation include a timestamp, what is visible, the likely user question, and a proposed test. Distinguish what the recording proves from what would require interaction. Prioritize three improvements without redesigning the entire product.
Workflow 03
Keep chronology and uncertainty explicit.
Convert these incident updates into a structured brief with timeline, customer impact, confirmed cause, mitigations, and follow-up tasks. Cite the update supporting each claim. Preserve contradictory reports as open questions. Do not state that the incident is resolved unless a supplied update explicitly confirms recovery.
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) | $0.30 |
| Input (audio) | $1.00 |
| Cached input (text / image / video) | $0.03 |
| Cached input (audio) | $0.10 |
| Output (including thinking) | $2.50 |
| Usage | Rate and unit |
|---|---|
| Cache storage | $1.00per 1M tokens per hour |
| Google Search grounding (after allowance) | $35.00per 1,000 grounded prompts |
| Google Maps grounding (after allowance) | $25.00per 1,000 grounded prompts |
Common questions
Consider it for repeatable multimodal analysis and batch workflows. Supply clear constraints and assess correctness, latency, and total usage on your own examples before making it a default.
Dynamic thinking is the default. Set a budget from 0–24,576 tokens; 0 disables thinking and -1 restores dynamic allocation. Thinking consumes output tokens, so reserve enough room for the answer.
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.
No. Google says the stable 2.5 models remain served, with access limited to users who actively used them before. Retired preview IDs are different. Check current provider and EZ Ai Assist availability independently.
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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