AnthropicPixMind route verified · 2026-11-01Claude Haiku 5.5 fits repeated extraction, classification, concise summaries, and bilingual support tasks. Give each request a clear schema and a small, focused source set. PixMind supports image input, tools, and streaming; requests above 100K input tokens use the higher price tier for all tokens in the request.
batch extraction, classification, summaries, and bilingual support
Selected model
Claude Haiku 5.5
Claude Haiku 5.5 fits repeated extraction, classification, concise summaries, and bilingual support tasks. Give each request a clear schema and a small, focused source set. PixMind supports image input, tools, and streaming; requests above 100K input tokens use the higher price tier for all tokens in the request.
Three jobs to try first
Convert repetitive text or documents into a consistent schema for downstream work.
Prompt starter
Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
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.
Reason across Chinese and English source material while preserving terminology and output structure.
Prompt starter
Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
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 80%-of-reference rates. Up to 100K input tokens, input is $0.08 and output $0.40 per 1M tokens. Above 100K, input is $0.40 and output $2 per 1M tokens for the whole request. The threshold includes cache reads and writes.
Above 100K input tokens, input, output, and cache all use the >100K tier for the whole request.
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 Haiku 5.5Current page | batch extraction, classification, summaries, and bilingual support | Text · Vision | 128,000 | 78.4 |
| Claude Sonnet 5.5 | 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 |
| GPT-5.6 Luna | high-volume text, extraction, and lightweight chat | Text | 128,000 | 156.8 |
everyday coding, structured writing, and long-document synthesis
Start chattingAnthropicarchitecture decisions, repository review, and multi-step technical reasoning
Start chattingOpenAIhigh-volume text, extraction, and lightweight chat
Start chattingModel-family claims come from provider documentation. Inputs, limits, and points follow the PixMind route verification date shown above.
Convert repetitive text or documents into a consistent schema for downstream work. Start with this template: Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.
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.
Reason across Chinese and English source material while preserving terminology and output structure. Start with this template: Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
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 80%-of-reference rates. Up to 100K input tokens, input is $0.08 and output $0.40 per 1M tokens. Above 100K, input is $0.40 and output $2 per 1M tokens for the whole request. The threshold includes cache reads and writes.
Claude Haiku 5.5 is positioned for batch extraction, classification, summaries, and bilingual support. 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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