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AI conversation model
Anthropic
Claude

Claude Opus 4.5

Claude Opus 4.5 — A provable maximum output-usage boundary is not yet available, so no request is created and no credits are charged.

Online use is currently unavailable

This page is for reviewing the model's capabilities, use cases, and public references. The model does not appear in the home workbench, and you cannot submit generation tasks with it.

View available models
Current status
Generation unavailable
Series position
Claude Opus 4.5
Access status
No request, no charge
30-second overview
  • Not Coming Soon; its preauthorization requirements are incomplete.
  • It does not appear in the chat selector, create requests, or charge credits.
  • A maximum output-usage bound cannot yet be proven.

Popular searches: How do I use Claude Opus 4.5? · What is the current price of Claude Opus 4.5? · How does Claude Opus 4.5 differ from Claude Sonnet 4.5?

Examples

Toy Lending Library: Opening day coordination

Plan a 90-minute Friday opening for Toy Lending Library at the family hub. We have 84 loan labels and groups of 28.
Use 3 groups with one coordinator per group. 00:00–00:10: welcome and explain the activity. 00:10–00:20: distribute 28 loan labels to each group. 00:20–01:05: run the main activity. 01:05–01:20: collect feedback and reusable equipment. 01:20–01:30: clean the family hub and check the inventory.
What should the coordinator check first?
Count the 84 loan labels before visitors arrive. Confirm a clear entrance and an accessible work area at the family hub, then give each of the 3 group leads the same timing sheet.

Toy Lending Library: Supply budget calculation

Toy Lending Library needs 84 loan labels at $11.70 each. Add a 10% reserve. Show the arithmetic.
Supplies: 84 × $11.70 = $982.80. Reserve: $982.80 × 0.10 = $98.28. Planned total: $1081.08. This is a planning calculation using the supplied prices.
What if we reduce the quantity by one group?
Remove 28 units, leaving 56. Supplies become $655.20; a 10% reserve adds $65.52, for a total of $720.72.

Toy Lending Library: Visitor announcement

Write a warm announcement for Toy Lending Library, meeting on Friday at the family hub. Mention limited loan labels, without promising availability.
Join Toy Lending Library this Friday at the family hub. Meet neighbors, learn together, and take part at your own pace. We will share the available loan labels across small groups. Supplies are limited, so please check with the welcome desk when you arrive.
Shorten it to an event sign.
Toy Lending Library Friday · family hub Welcome! Ask the desk about available loan labels and today’s small-group activities.

Toy Lending Library: Inventory CSV validation

Write Python to validate Toy Lending Library inventory CSV with columns item,quantity. Quantity must be a nonnegative integer.
```python import csv def read_inventory(path): rows = [] with open(path, newline="", encoding="utf-8") as handle: reader = csv.DictReader(handle) if reader.fieldnames != ["item", "quantity"]: raise ValueError("Expected item,quantity columns") for line, row in enumerate(reader, 2): name = row["item"].strip() quantity = row["quantity"].strip() if not name or not quantity.isascii() or not quantity.isdecimal(): raise ValueError(f"Invalid inventory row {line}") rows.append((name, int(quantity))) return rows # Example row: loan labels,84 ```
What are two useful validation cases?
The row `loan labels,84` should pass. The row `loan labels,-1` should raise a ValueError because a negative quantity is outside the stated inventory contract. An empty item should also fail.

Toy Lending Library: Coordinator handover note

Create a concise handover note for Toy Lending Library: 84 loan labels, 3 groups, meeting Friday at family hub.
Handover — Toy Lending Library Location: family hub; day: Friday. Inventory: 84 loan labels, allocated as 3 groups × 28. Before opening: count supplies, set the welcome desk, and confirm group leads. During the event: record shortages and visitor questions. After closing: count returns and write one improvement for the next meeting.
Add a useful open question for the next lead.
Ask: “Were 28 loan labels per group enough for the activity, and which step created the longest wait?” Record the answer beside the returned inventory count.

Toy Lending Library: Participant question response

A visitor asks whether they can join Toy Lending Library halfway through the Friday session at family hub. Draft a welcoming but practical reply.
You are welcome to check in at the desk when you arrive. A coordinator can explain the current activity and see whether a group has space and spare loan labels. If the activity is already full, we can help you observe or find the next joining point.
What should we avoid saying?
Avoid guaranteeing a place or a set of loan labels before checking the group capacity. Keep the reply specific to the family hub session and offer a clear next step: speak with the welcome desk.

At a glance

Is this model right for you?

This is neither a Coming Soon listing nor a discontinued model. The restriction comes from the site's preauthorization safety boundary: until maximum output usage can be proven, Claude Opus 4.5 stays out of the model selector and message requests are rejected before any credits are charged.

What it does best
Generation unavailable: Claude Opus 4.5 — A provable maximum output-usage boundary is not yet available, so no request is created and no credits are charged.
Who it is for
Claude Opus 4.5: If you want to prepare future tests: Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.
Why use it on Kyeo AI
Kyeo AI publishes verified facts and usable alternatives while keeping an incomplete billing contract out of the generation path.

Key facts

Quickly evaluate whether this model fits your business use case.

Vendor
Anthropic
Model family
Claude
Confirmed input
Structured text conversations
Current gap
Maximum output-usage bound

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Claude Opus 4 5
claude-opus-4-5
Anthropic Claude

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

How do I use Claude Opus 4.5?
What is the current price of Claude Opus 4.5?
How does Claude Opus 4.5 differ from Claude Sonnet 4.5?
How does Claude Opus 4.5 differ from Claude Opus 4.6?
How does Claude Opus 4.5 differ from GPT-5.4?
Does Claude Opus 4.5 currently support images?
Does Claude Opus 4.5 currently support web search?
Is Claude Opus 4.5 suitable for deep research?
Is Claude Opus 4.5 suitable for critical tasks?
Is Claude Opus 4.5 worth the higher price?

Decision guide

Still deciding? Start with these key decision points.

1
If you need to finish a task now

Choose an available model such as Claude Sonnet 5; this model cannot currently accept messages.

2
If you want to prepare future tests

Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.

3
How to tell when access can open

Access can be reconsidered when a reliable maximum output limit is available.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

Should I choose Claude Opus 4.5 or Claude Sonnet 5?
Why is Claude Opus 4.5 generation unavailable?

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

Claude Opus 4.5: If you want to prepare future tests

If you want to prepare future tests: Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.

Claude Opus 4.5: How to tell when access can open

Access can be reconsidered once a reliable maximum output limit is available.

Capabilities

Generation unavailable: Multi-turn text

Generation unavailable: Multi-turn text: Structured message input is confirmed. If access opens, the site's per-message character limit and history window will still apply.

Generation unavailable: If you want to prepare future tests

Generation unavailable: If you want to prepare future tests: Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.

Generation unavailable: How to tell when access can open

Generation is unavailable until a reliable maximum output limit can be established.

Use cases

AI conversation model: If you need to finish a task now

For work that must be completed now, choose an available conversation model such as Claude Sonnet 5.

AI conversation model: If you want to prepare future tests

AI conversation model: If you want to prepare future tests: Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.

AI conversation model: How to tell when access can open

This conversation model can accept messages only after a reliable maximum output limit is available.

Prompt tips

Claude Opus 4.5: Generation unavailable: Define acceptance criteria first

Generation unavailable: Claude Opus 4.5: Define acceptance criteria first: Specify length, format, evidence requirements, and prohibited content.

Claude Opus 4.5: Generation unavailable: Keep repeatable samples

Generation unavailable: Claude Opus 4.5: Keep repeatable samples: Once access opens, compare quality, latency, and actual credits with currently available models.

Claude Opus 4.5: Generation unavailable: If you want to prepare future tests

Generation unavailable: Claude Opus 4.5: If you want to prepare future tests: Save one non-sensitive sample each for everyday Q&A, summarization, and retrieval.

Why choose it

Claude Opus 4.5: The page clearly separates discoverable information from runtime availability.
Claude Opus 4.5: Not Coming Soon; its preauthorization requirements are incomplete.
Claude Opus 4.5: It does not appear in the chat selector, create requests, or charge credits.

What to know first

Generation unavailable: Standard and streaming generation are currently unavailable.
Generation unavailable: A maximum output-usage bound cannot yet be proven.
Generation unavailable: It does not appear in the chat selector, create requests, or charge credits.

Currently unavailable

This page is for reviewing the model's capabilities, use cases, and public references. The model does not appear in the home workbench, and you cannot submit generation tasks with it. Generation unavailable: Claude Opus 4.5 — A provable maximum output-usage boundary is not yet available, so no request is created and no credits are charged.

No additional settings are available for this model.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

Claude Opus 4.8

Claude Opus 4.8 is designed for high-complexity text analysis and consequential writing. Kyeo AI offers text-only chat with up to 20,000 characters per message and an explicit 4,096-token maximum output.

AI conversation model
Token-based pricing
View detailsUse now

Claude Sonnet 5

Claude Sonnet 5 is the more balanced Claude candidate in this batch for research, code explanation, and structured writing. Its maximum output on this site is 4,096 tokens.

AI conversation model
Token-based pricing
View detailsUse now

Claude Opus 5

Claude Opus 5 is a flagship candidate for high-complexity text work. Kyeo AI limits each message to 20,000 characters, includes the 40 most recent submitted messages, and caps output at 4,096 tokens.

AI conversation model
Token-based pricing
View detailsUse now

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

A provable maximum output-usage boundary is not yet available, so no request is created and no credits are charged.

Last updated: 2026-08-26
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