Gemini 3.5 Flash

Gemini 3.5 Flash is a current AI model verified from first-party Google sources.

Gemini 3.5 Flash verified specifications

Gemini 3.5 Flash is Google’s stable 1M-context Flash model for agentic execution, coding, multimodal analysis and high-throughput workflows. Its verified context or usage limit is 1048576 tokens, with 65536 tokens maximum output.

Gemini 3.5 Flash pricing and access

Gemini 3.5 Flash has a free tier. Paid standard pricing is $1.50 per 1M input tokens and $9.00 per 1M output tokens; batch pricing is $0.75 input and $4.50 output per 1M tokens.

Gemini 3.5 Flash best uses

Coding, Agents, Multimodal analysis, High-throughput workflows, Document processing.

Gemini 3.5 Flash limitations

Not Google’s newest Flash generation, Tool/search usage can add cost, Critical outputs still need validation.

Gemini 3.5 Flash capabilities and use cases

In addition, its main capabilities include 1M context, 65K output, Multimodality, Thinking, Function calling and Structured outputs. For example, common use cases include Coding assistants, Agents, Document intelligence, Research and Automation.

Who should consider Gemini 3.5 Flash?

In practice, this model may suit Coding, Agents, Multimodal analysis, High-throughput workflows and Document processing. Also, notable strengths include Stable GA model, 1M context, Broad multimodal inputs and Free tier. However, review trade-offs such as Not Google's newest Flash generation, Tool/search usage can add cost and Critical outputs still need validation before adopting it.

Gemini 3.5 Flash pricing and access

Meanwhile, Gemini 3.5 Flash has a free tier. Paid standard pricing is $1.50 per 1M input tokens and $9.00 per 1M output tokens; batch pricing is $0.75 input and $4.50 output per 1M tokens. Free tier available; paid standard pricing is $1.50/M input and $9/M output.

Official resources and verification

Use the official model website, official documentation, pricing or release source and additional primary source to confirm current availability, limits and pricing. Product details can change after publication, so rely on primary documentation for final decisions.

Compare with other AI models

Next, continue your research in the AI models directory, Google models and Multimodal Language Model models. Compare providers, pricing, modalities and practical limitations side by side to choose the right model for your workflow.