AnthropicPixMind route verified · 2026-09-04Claude Opus 5 targets complex professional work where planning, autonomous coding, tool use, and self-correction matter more than minimum cost.
complex professional reasoning, autonomous coding, and self-correcting workflows
Selected model
Claude Opus 5
Claude Opus 5 targets complex professional work where planning, autonomous coding, tool use, and self-correction matter more than minimum cost.
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
Input
3,822
points per 1M tokens
Output
19,110
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 |
|---|---|---|---|---|
| Claude Opus 5Current page | complex professional reasoning, autonomous coding, and self-correcting workflows | Text · Vision | 131,072 | 3,822 |
| Claude Fable 5 | maximum-quality long-horizon agents, difficult coding, and memory-heavy work | Text · Vision | 131,072 | 7,644 |
| Claude Sonnet 5 | production coding, tool use, and structured knowledge work with balanced cost | Text · Vision | 131,072 | 1,528.8 |
| GPT-5.6 Sol | demanding reasoning, vision, and tool-driven work | Text · Vision | 128,000 | 3,694.6 |
maximum-quality long-horizon agents, difficult coding, and memory-heavy work
Start chattingAnthropicproduction coding, tool use, and structured knowledge work with balanced cost
Start chattingOpenAIdemanding reasoning, vision, and tool-driven work
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.
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.
Current directory pricing is 3822 input points and 19110 output points per 1 million tokens.
Claude Opus 5 is positioned for complex professional reasoning, autonomous coding, and self-correcting workflows. 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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