DeepSeekPixMind route verified · 2026-09-04DeepSeek V4 Flash is PixMind's cost-efficient DeepSeek V4 text route for high-volume extraction, classification, rewriting, summaries, and lightweight coding with a one-million-token context.
cost-efficient extraction, classification, rewriting, summaries, and lightweight coding
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DeepSeek V4 Flash
DeepSeek V4 Flash is PixMind's cost-efficient DeepSeek V4 text route for high-volume extraction, classification, rewriting, summaries, and lightweight coding with a one-million-token context.
Three jobs to try first
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.
Trace behavior across files, identify failure paths, and propose a scoped patch plan.
Prompt starter
Review the attached code for [goal]. Trace the request end to end, list findings by severity with file evidence, then propose the smallest safe patch and focused tests.
This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos.
Reasoning-enabled text route
Input
352.8
points per 1M tokens
Output
1,058.4
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 |
|---|---|---|---|---|
| DeepSeek V4 FlashCurrent page | cost-efficient extraction, classification, rewriting, summaries, and lightweight coding | Text | 65,536 | 352.8 |
| DeepSeek V4 Pro | complex text reasoning, software architecture, code review, and long-document analysis | Text | 65,536 | 1,058.4 |
| GPT-5.6 Luna | high-volume text, extraction, and lightweight chat | Text | 128,000 | 147.784 |
| GLM-5.3-Flash | free daily image understanding, Chinese-first chat, and tool-assisted tasks | Text · Image input | 128,000 | 140 |
complex text reasoning, software architecture, code review, and long-document analysis
Start chattingOpenAIhigh-volume text, extraction, and lightweight chat
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.
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.
Trace behavior across files, identify failure paths, and propose a scoped patch plan. Start with this template: Review the attached code for [goal]. Trace the request end to end, list findings by severity with file evidence, then propose the smallest safe patch and focused tests.
This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos. The current catalog flags: text.
Put the goal, source material, constraints, and output schema in separate sections. For long inputs, name the evidence the answer must preserve before asking for conclusions.
Current directory pricing is 352.8 input points and 1058.4 output points per 1 million tokens.
DeepSeek V4 Flash is positioned for cost-efficient extraction, classification, rewriting, summaries, and lightweight coding. Check the comparison table when lower cost, different input support, or a heavier reasoning tier matters more.
A network interruption, insufficient balance, or temporary model availability can stop a reply. Before resending, check whether token usage and points were already settled.
Use the prompt box above to send a focused first task, then continue in the full AI Chat workspace.
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