OpenAIPixMind route verified · 2026-09-04GPT-5.6 Sol is OpenAI's flagship route for complex professional reasoning and coding. Use it when answer quality and multi-step execution justify a higher token price.
demanding reasoning, vision, and tool-driven work
Selected model
GPT-5.6 Sol
GPT-5.6 Sol is OpenAI's flagship route for complex professional reasoning and coding. Use it when answer quality and multi-step execution justify a higher token price.
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.
Reasoning effort none to max
Input
3,694.6
points per 1M tokens
Output
22,167.6
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 |
|---|---|---|---|---|
| GPT-5.6 SolCurrent page | demanding reasoning, vision, and tool-driven work | Text · Vision | 128,000 | 3,694.6 |
| GPT-5.6 Terra | balanced everyday reasoning and multimodal work | Text · Vision | 128,000 | 1,477.84 |
| Claude Opus 5 | complex professional reasoning, autonomous coding, and self-correcting workflows | Text · Vision | 131,072 | 3,822 |
| Gemini 3.8 Flash | long-horizon software engineering, autonomous agents, and mixed-media analysis | Text · Image input · Audio input · Video input · PDF input | 65,536 | 955.5 |
balanced everyday reasoning and multimodal work
Start chattingAnthropiccomplex professional reasoning, autonomous coding, and self-correcting workflows
Start chattingGooglelong-horizon software engineering, autonomous agents, and mixed-media analysis
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.
Separate the goal, context, constraints, and output contract. Reserve the highest reasoning effort for tasks where extra latency and cost are justified.
Current directory pricing is 3694.6 input points and 22167.6 output points per 1 million tokens.
GPT-5.6 Sol is positioned for demanding reasoning, vision, and tool-driven work. 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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