AnthropicPixMind route verified · 2026-11-01Claude Sonnet 5.5 is a fit for production coding, structured writing, and synthesizing long sets of documents. Its input and output token rates are half those of Opus 5.5 on PixMind. Use its 1M-input-token route for larger source sets, with image input, tools, streaming, and up to 128K output tokens.
everyday coding, structured writing, and long-document synthesis
Selected model
Claude Sonnet 5.5
Claude Sonnet 5.5 is a fit for production coding, structured writing, and synthesizing long sets of documents. Its input and output token rates are half those of Opus 5.5 on PixMind. Use its 1M-input-token route for larger source sets, with image input, tools, streaming, and up to 128K output tokens.
Three jobs to try first
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.
Create a usable brief, proposal, specification, or report with explicit sections and criteria.
Prompt starter
Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
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 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: $1.60 per 1M input tokens and $8 per 1M output tokens, at 80% of the official reference. Cache reads and writes are priced separately 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 Sonnet 5.5Current page | everyday coding, structured writing, and long-document synthesis | Text · Vision | 128,000 | 1,568 |
| Claude Opus 5.5 | architecture decisions, repository review, and multi-step technical reasoning | Text · Vision | 16,000 | 3,136 |
| Claude Haiku 5.5 | batch extraction, classification, summaries, and bilingual support | Text · Vision | 128,000 | 78.4 |
| GPT-6.1 Terra | everyday writing, structured extraction, and bilingual summaries | Text | 12,800 | 784 |
architecture decisions, repository review, and multi-step technical reasoning
Start chattingAnthropicbatch extraction, classification, summaries, and bilingual support
Start chattingOpenAIeveryday writing, structured extraction, and bilingual summaries
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points follow the PixMind route verification date shown above.
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.
Create a usable brief, proposal, specification, or report with explicit sections and criteria. Start with this template: Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
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 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: $1.60 per 1M input tokens and $8 per 1M output tokens, at 80% of the official reference. Cache reads and writes are priced separately below.
Claude Sonnet 5.5 is positioned for everyday coding, structured writing, and long-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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