DeepSeekPixMind route verified · 2026-11-01DeepSeek V4.1 Flash 1017 turns a detailed project brief into working code and supports iterative implementation with tools. Use it for prototypes, repository changes, and repeated document extraction when you need long context at a lower token price.
project prototyping, tool-assisted coding, and long-context extraction
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DeepSeek V4.1 Flash
DeepSeek V4.1 Flash 1017 turns a detailed project brief into working code and supports iterative implementation with tools. Use it for prototypes, repository changes, and repeated document extraction when you need long context at a lower token price.
Three jobs to try first
Decompose a long-running goal into checkpoints, tools, verification, and recovery steps.
Prompt starter
Plan and execute [goal] in checkpoints. Before each action state the evidence needed; after each action verify the result and update the remaining plan. Stop on irreversible ambiguity.
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.
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.
This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos.
Thinking on/off; high or max effort
Studio and API both use 50% of official Qianfan input, output, and cache-read rates. Peak hours are 08:00–22:00 every day, Beijing time (UTC+8); other hours use the off-peak rate. The table shows peak rates.
Credits and approximate USD 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 V4.1 FlashCurrent page | project prototyping, tool-assisted coding, and long-context extraction | Text | 393,216 | 140 |
| DeepSeek V4 Pro | complex text reasoning, software architecture, code review, and long-document analysis | Text | 393,216 | 630 |
| GLM-5.3-Flash | free daily image understanding, Chinese-first chat, and tool-assisted tasks | Text · Image input · Video input | 128,000 | 67.2 |
| GPT-6.1 Terra | everyday writing, structured extraction, and bilingual summaries | Text | 12,800 | 784 |
complex text reasoning, software architecture, code review, and long-document analysis
Start chattingZ.aifree daily image understanding, Chinese-first chat, and tool-assisted tasks
Start chattingOpenAIeveryday writing, structured extraction, and bilingual summaries
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points follow the PixMind route verification date shown above.
Decompose a long-running goal into checkpoints, tools, verification, and recovery steps. Start with this template: Plan and execute [goal] in checkpoints. Before each action state the evidence needed; after each action verify the result and update the remaining plan. Stop on irreversible ambiguity.
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.
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.
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.
Studio and API both use 50% of official Qianfan input, output, and cache-read rates. Peak hours are 08:00–22:00 every day, Beijing time (UTC+8); other hours use the off-peak rate. The table shows peak rates.
DeepSeek V4.1 Flash is positioned for project prototyping, tool-assisted coding, and long-context extraction. 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.
Start chatting