AnthropicPixMind route verified · 2026-11-01Claude Opus 5.5 fits architecture decisions, repository-wide code review, and multi-step technical reasoning. Share the relevant source files and constraints, then ask for an evidence-backed plan or patch. This PixMind route supports image input, tools, and streaming within 128K input and 16K output tokens.
architecture decisions, repository review, and multi-step technical reasoning
Selected model
Claude Opus 5.5
Claude Opus 5.5 fits architecture decisions, repository-wide code review, and multi-step technical reasoning. Share the relevant source files and constraints, then ask for an evidence-backed plan or patch. This PixMind route supports image input, tools, and streaming within 128K input and 16K output tokens.
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.
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.
This PixMind route accepts text and images. Video, audio, or PDF availability is shown separately and should not be inferred from the model family.
Adaptive thinking; effort low to max
Studio and API share the same rates: $3.20 per 1M input tokens and $16 per 1M output tokens, at 80% of the official reference. Cache reads and 5-minute or 1-hour cache writes have separate rates below.
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 |
|---|---|---|---|---|
| Claude Opus 5.5Current page | architecture decisions, repository review, and multi-step technical reasoning | Text · Vision | 16,000 | 3,136 |
| Claude Sonnet 5.5 | everyday coding, structured writing, and long-document synthesis | Text · Vision | 128,000 | 1,568 |
| Claude Haiku 5.5 | batch extraction, classification, summaries, and bilingual support | Text · Vision | 128,000 | 78.4 |
| GPT-6.1 Sol | complex coding, code review, and long-document reasoning | Text | 12,800 | 1,568 |
Model-family claims come from provider documentation. Inputs, limits, and points follow the PixMind route verification date shown above.
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.
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.
This PixMind route accepts text and images. Video, audio, or PDF availability is shown separately and should not be inferred from the model family. The current catalog flags: text, vision.
State the outcome and constraints directly. For long work, define checkpoints and the expected deliverable instead of repeatedly asking the model to be thorough.
Studio and API share the same rates: $3.20 per 1M input tokens and $16 per 1M output tokens, at 80% of the official reference. Cache reads and 5-minute or 1-hour cache writes have separate rates below.
Claude Opus 5.5 is positioned for architecture decisions, repository review, and multi-step technical reasoning. 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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