Aymo AI
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Gemini 3.5 Flash
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Perplexity Sonar

Gemini 3.5 Flash vs Perplexity Sonar

Compare Gemini 3.5 Flash and Perplexity Sonar side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.

Overview

Gemini 3.5 Flash vs Perplexity Sonar Overview

Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.

Gemini 3.5 Flash

Google / Gemini 3.5 Flash

pro

Description

Google's newest Flash-tier model, and an unusual one. Google describes it as delivering near-Pro intelligence at Flash cost and speed, with Pro-level coding proficiency and parallel agentic execution. It reads text, images, audio, video, and PDFs across a one-million-token context window. Fast, cheap, and strong on tool use. Still a preview release, with the same modest output ceiling as the rest of the Gemini 3 line.

Perplexity Sonar

Perplexity / Perplexity Sonar

pro

Description

Perplexity’s search model is the only one that runs a web search on every single request. Sonar is built to answer questions with citations, not to reason or write code. It formulates the query, retrieves sources, evaluates them, and synthesizes a cited answer in one pass. Fast, cheap, and factual. A specialist rather than a general-purpose model, and it should be judged as one.

About

Provider
Gemini 3.5 Flash
Google
Speed
Quality
Cost

About

Provider
Perplexity Sonar
Perplexity
Speed
Quality
Cost

Capabilities

ReasoningVisionWeb SearchFile ContextImage Context

Capabilities

Web Search

Comparison

Why Use Gemini 3.5 Flash and Perplexity Sonar?

Aymo gives you more than access to individual models—it provides a complete multi-model AI workspace designed for productivity.

Gemini 3.5 Flash

Google / Gemini 3.5 Flash

pro

Coding at Flash Speed

Google claims Pro-level coding proficiency at Flash-tier cost, and lists agentic coding among its core strengths. Built for parallel agent execution, where several tasks run at once rather than one after another.

Adjustable Thinking

Thinking runs at minimal, low, medium, or high, defaulting to medium rather than high. That makes it cheaper and faster out of the box, with room to push harder when a problem needs it.

Handle full Codebases Context

A one-million-token context window, the same as Google's Pro tier. Load a full repository, a long document set, or hours of media, and work across all of it in a single session.

A Modest Output Ceiling

Writes up to 64,000 tokens in a single response, well short of what most frontier models produce. Enough for reports and documentation, but long-form generation has to be split into parts.

Search, Maps, and URL Grounding

Supports Google Search, Grounding with Google Maps, File Search, URL Context, and code execution, and can combine them in one request. Its knowledge cutoff is January 2025, so grounding matters.

Reads Video, Audio, and PDFs

Text, images, video, audio, and PDFs, all handled natively. Output is text only. Very few models accept video or audio input at all, which makes this range genuinely uncommon.

Perplexity Sonar

Perplexity / Perplexity Sonar

pro

Not Built for Coding

Sonar is a search-to-answer system, not a coding model. It will answer questions about code by finding documentation and discussion, but it is not intended for writing, refactoring, or debugging software.

Retrieval Over Reasoning

Perplexity positions Sonar as lightweight and fast, aimed at straightforward queries rather than multi-step deliberation. Its heavier siblings handle chain-of-thought reasoning. This one is tuned for speed and factual accuracy.

Search Depth You Control

Search context size can be set to low, medium, or high, controlling how much of the web is retrieved before answering. Results can be filtered by domain and by recency, from the past hour to the past year.

Cited Answers Writing

Every response carries inline citations pointing to its sources. That makes it strong for research summaries and fact-checking, and weak for creative or long-form writing, which is not what it was built for.

Live Web Search on Every Request

Sonar has no static knowledge ceiling because it searches before answering, every time. Perplexity reports it outperforms non-grounded models on factual question answering for exactly this reason.

Text and PDFs

Accepts text and PDF files, and can answer questions about a PDF's contents. It does not accept images, audio, or video as input.

Why Aymo

Why chat with Gemini 3.5 Flash and Perplexity Sonar on Aymo AI?

Aymo gives you more than access to Gemini 3.5 Flash and Perplexity Sonar—it provides a complete multi-model AI workspace designed for productivity.

Compare Responses

See how Gemini 3.5 Flash and Perplexity Sonar performs alongside Claude, Gemini, Grok, and other leading AI models.

One Workspace

Keep all your AI conversations, files, and prompts in a single organized workspace.

Switch Models Instantly

Move between different AI models without restarting your conversation.

Upload Once

Use the same files across multiple AI models without uploading them again.

Save & Organize

Bookmark important chats, organize projects, and return anytime.

Work Together

Share conversations and collaborate with teammates in one place.