GooglePixMind route verified · 2026-09-04Gemini 3.5 Flash is Google's baseline stable Flash model for routine, high-throughput multimodal analysis and content operations.
routine high-throughput multimodal analysis and content operations
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Gemini 3.5 Flash
Gemini 3.5 Flash is Google's baseline stable Flash model for routine, high-throughput multimodal analysis and content operations.
Three jobs to try first
Combine frames, audio, PDFs, and notes into one timeline or evidence-led review.
Prompt starter
Review the attached media as one project. Build a timestamped issue list, connect each issue to visible or audible evidence, and propose an edit plan.
Convert repetitive text or documents into a consistent schema for downstream work.
Prompt starter
Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
Create a usable brief, proposal, specification, or report with explicit sections and criteria.
Prompt starter
Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
This PixMind route exposes text, image, and video input with text output. Audio and PDF are not listed for this route snapshot.
Flash reasoning route
Input
1,346.8
points per 1M tokens
Output
8,190
points per 1M tokens
Compare the current route with nearby models before spending tokens on a long conversation.
| Model | Best for | PixMind inputs | Max output | Input points / 1M |
|---|---|---|---|---|
| Gemini 3.5 FlashCurrent page | routine high-throughput multimodal analysis and content operations | Text · Image input · Video input | 65,536 | 1,346.8 |
| Gemini 3.6 Flash | balanced multimodal reasoning for everyday agentic and production tasks | Text · Image input · Video input | 65,536 | 955.5 |
| Gemini 3.5 Flash-Lite | cost-sensitive classification, extraction, and lightweight multimodal queues | Text · Image input · Video input | 65,536 | 382.2 |
| GLM-5.3-Flash | free daily image understanding, Chinese-first chat, and tool-assisted tasks | Text · Image input | 128,000 | 140 |
balanced multimodal reasoning for everyday agentic and production tasks
Start chattingGooglecost-sensitive classification, extraction, and lightweight multimodal queues
Start chattingZhipu AIfree daily image understanding, Chinese-first chat, and tool-assisted tasks
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points are the PixMind route snapshot verified on September 4, 2026.
Combine frames, audio, PDFs, and notes into one timeline or evidence-led review. Start with this template: Review the attached media as one project. Build a timestamped issue list, connect each issue to visible or audible evidence, and propose an edit plan.
Convert repetitive text or documents into a consistent schema for downstream work. Start with this template: Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
Create a usable brief, proposal, specification, or report with explicit sections and criteria. Start with this template: Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
This PixMind route exposes text, image, and video input with text output. Audio and PDF are not listed for this route snapshot. The current catalog flags: text, vision, image, video.
Assign each attachment a role, describe what evidence to extract, and request a structured synthesis rather than a generic summary.
Current directory pricing is 1346.8 input points and 8190 output points per 1 million tokens.
Gemini 3.5 Flash is positioned for routine high-throughput multimodal analysis and content operations. Check the comparison table when lower cost, different input support, or a heavier reasoning tier matters more.
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