AnthropicPixMind route verified · 2026-09-04Claude Opus 4.8 is an active, stable high-capability choice for long-context reasoning, careful code review, and document-heavy professional workflows.
stable long-context reasoning, code review, and demanding document synthesis
Selected model
Claude Opus 4.8
Claude Opus 4.8 is an active, stable high-capability choice for long-context reasoning, careful code review, and document-heavy professional workflows.
Three jobs to try first
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.
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.
Turn an open question into hypotheses, evidence needs, evaluation criteria, and a final report shape.
Prompt starter
Design a research plan for [question]. List competing hypotheses, the evidence needed to test each one, source-quality criteria, stopping rules, and the final report outline.
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 4.8Current page | stable long-context reasoning, code review, and demanding document synthesis | Text · Vision | 131,072 | 3,822 |
| Claude Opus 5 | complex professional reasoning, autonomous coding, and self-correcting workflows | Text · Vision | 131,072 | 3,822 |
| Claude Sonnet 5 | production coding, tool use, and structured knowledge work with balanced cost | Text · Vision | 131,072 | 1,528.8 |
| GPT-5.6 Terra | balanced everyday reasoning and multimodal work | Text · Vision | 128,000 | 1,477.84 |
complex professional reasoning, autonomous coding, and self-correcting workflows
Start chattingAnthropicproduction coding, tool use, and structured knowledge work with balanced cost
Start chattingOpenAIbalanced everyday reasoning and multimodal work
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points are the PixMind route snapshot verified on September 4, 2026.
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.
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.
Turn an open question into hypotheses, evidence needs, evaluation criteria, and a final report shape. Start with this template: Design a research plan for [question]. List competing hypotheses, the evidence needed to test each one, source-quality criteria, stopping rules, and the final report outline.
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 4.8 is positioned for stable long-context reasoning, code review, and demanding document synthesis. 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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