DeepSeekPixMind route verified · 2026-09-04DeepSeek V4 Pro is PixMind's higher-capability DeepSeek V4 text route for complex reasoning, software architecture, careful code review, and long-document analysis with a one-million-token context.
complex text reasoning, software architecture, code review, and long-document analysis
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DeepSeek V4 Pro
DeepSeek V4 Pro is PixMind's higher-capability DeepSeek V4 text route for complex reasoning, software architecture, careful code review, and long-document analysis with a one-million-token context.
Three jobs to try first
Turn requirements and constraints into options, trade-offs, and a decision record.
Prompt starter
Act as a staff architect. Compare three approaches for [system]. Use these constraints: [constraints]. Return a decision table, risks, migration steps, and a final recommendation.
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.
Extract decisions, disagreements, evidence, and action items from a large source set.
Prompt starter
Analyze these documents as one evidence set. Separate confirmed facts, open questions, and contradictions. Produce an executive summary plus a source-linked action table.
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
1,058.4
points per 1M tokens
Output
3,175.2
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 ProCurrent page | complex text reasoning, software architecture, code review, and long-document analysis | Text | 65,536 | 1,058.4 |
| DeepSeek V4 Flash | cost-efficient extraction, classification, rewriting, summaries, and lightweight coding | Text | 65,536 | 352.8 |
| GPT-5.6 Terra | balanced everyday reasoning and multimodal work | Text · Vision | 128,000 | 1,477.84 |
| GLM-5.3 | deep Chinese and English text reasoning, coding, and tool orchestration | Text | 128,000 | 1,400 |
cost-efficient extraction, classification, rewriting, summaries, and lightweight coding
Start chattingOpenAIbalanced everyday reasoning and multimodal work
Start chattingZhipu AIdeep Chinese and English text reasoning, coding, and tool orchestration
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points are the PixMind route snapshot verified on September 4, 2026.
Turn requirements and constraints into options, trade-offs, and a decision record. Start with this template: Act as a staff architect. Compare three approaches for [system]. Use these constraints: [constraints]. Return a decision table, risks, migration steps, and a final recommendation.
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.
Extract decisions, disagreements, evidence, and action items from a large source set. Start with this template: Analyze these documents as one evidence set. Separate confirmed facts, open questions, and contradictions. Produce an executive summary plus a source-linked action table.
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 1058.4 input points and 3175.2 output points per 1 million tokens.
DeepSeek V4 Pro is positioned for complex text reasoning, software architecture, code review, and long-document analysis. 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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