Gemini

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Updated August 2026: This review now reflects Gemini 3.6 Flash and 3.5 Flash-Lite, plus the broader shift toward efficient agent workflows across the Gemini app and developer platform.

Our verdict

Gemini is the natural AI choice for people and teams whose work already lives across Google products. Its main strength is reach: one model family connects consumer assistance, Workspace, search, Android, AI Studio, APIs, and enterprise agents.

What we like

Strong multimodal work across text, images, documents, charts, and code
Deep distribution through Google apps and developer services
Flash models offer a practical balance of quality, latency, and cost
Useful paths for both everyday users and production developers

What to know

Features and model access differ across the Gemini app, Workspace, API, and regions
Google’s fast release cycle makes model names and availability easy to confuse
Grounded answers and agent actions still require source and permission checks
The best choice depends on whether you need a consumer assistant or an API model

What changed

Google introduced Gemini 3.6 Flash as its workhorse model for coding, knowledge work, multimodal analysis, and agent tasks. Google says it uses fewer output tokens than 3.5 Flash while improving quality and tool efficiency. The accompanying 3.5 Flash-Lite targets high-throughput, low-latency jobs such as agentic search and document processing.

Developer pricing at announcement: Google listed Gemini 3.6 Flash at $1.50 per million input tokens and $7.50 per million output tokens. Gemini 3.5 Flash-Lite was listed at $0.30 input and $2.50 output. Verify current regional pricing before production use.

Gemini app or Gemini API?

The Gemini app is the better starting point for research, writing, planning, file analysis, and tasks connected to a user’s Google context. Developers should evaluate models in Google AI Studio or the Gemini API, where latency, token use, structured output, tool calls, and production pricing can be measured directly.

How we would evaluate it

Test the same document, chart, and image tasks across the app and API model you plan to use.
For agents, measure successful task completion, tool-call count, retries, and total cost—not benchmark scores alone.
Verify citations and generated claims against original sources.
Confirm which data controls, regional endpoints, and Workspace permissions apply to your account.

Who should use Gemini?

Gemini is a strong fit for Google-centric individuals, Workspace teams, Android users, and developers who want multimodal models with broad platform integration. Teams seeking a model-independent workflow should compare it with ChatGPT, Claude, Qwen, and DeepSeek before committing.

Bottom line

Gemini’s advantage is the combination of capable multimodal models and Google-scale distribution. Gemini 3.6 Flash strengthens the developer case with improved efficiency, while the consumer product remains most compelling for users who can benefit from Google context and integrations.

Primary source: Google’s Gemini 3.6 Flash announcement.