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Kyeo AI
AI conversation model
Anthropic
Claude

Claude Opus 4.7

Kyeo AI offers Claude Opus 4.7 as a text-only chat model for demanding analysis and writing, with up to 20,000 characters per message, 40 submitted messages of history, and at most 4,096 output tokens per response.

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Capability
Text chat
Credit cost
Token-based pricing
Prompt limit
20,000 characters
Upload limit
No attachments
30-second overview
  • Processes text with a 4,096-token output cap per response
  • Does not expose images, search, tools, thinking, or effort
  • Base rates are 285 input and 1,430 output credits per million tokens, with 0.1× cache reads and 1.25×/2× cache writes.
  • Suited to high-impact writing, research synthesis, and complex review

Popular searches: How do I use Claude Opus 4.7? · What does Claude Opus 4.7 cost? · Is Claude Opus 4.7 suitable for deep reasoning?

Examples

Local Makers Market: Opening day coordination

Plan a 90-minute Sunday opening for Local Makers Market at the canal plaza. We have 60 stall cards and groups of 20.
Use 3 groups with one coordinator per group. 00:00–00:10: welcome and explain the activity. 00:10–00:20: distribute 20 stall cards 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 canal plaza and check the inventory.
What should the coordinator check first?
Count the 60 stall cards before visitors arrive. Confirm a clear entrance and an accessible work area at the canal plaza, then give each of the 3 group leads the same timing sheet.

Local Makers Market: Supply budget calculation

Local Makers Market needs 60 stall cards at $10.65 each. Add a 10% reserve. Show the arithmetic.
Supplies: 60 × $10.65 = $639.00. Reserve: $639.00 × 0.10 = $63.90. Planned total: $702.90. This is a planning calculation using the supplied prices.
What if we reduce the quantity by one group?
Remove 20 units, leaving 40. Supplies become $426.00; a 10% reserve adds $42.60, for a total of $468.60.

Local Makers Market: Visitor announcement

Write a warm announcement for Local Makers Market, meeting on Sunday at the canal plaza. Mention limited stall cards, without promising availability.
Join Local Makers Market this Sunday at the canal plaza. Meet neighbors, learn together, and take part at your own pace. We will share the available stall cards across small groups. Supplies are limited, so please check with the welcome desk when you arrive.
Shorten it to an event sign.
Local Makers Market Sunday · canal plaza Welcome! Ask the desk about available stall cards and today’s small-group activities.

Local Makers Market: Inventory CSV validation

Write Python to validate Local Makers Market 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: stall cards,60 ```
What are two useful validation cases?
The row `stall cards,60` should pass. The row `stall cards,-1` should raise a ValueError because a negative quantity is outside the stated inventory contract. An empty item should also fail.

Local Makers Market: Coordinator handover note

Create a concise handover note for Local Makers Market: 60 stall cards, 3 groups, meeting Sunday at canal plaza.
Handover — Local Makers Market Location: canal plaza; day: Sunday. Inventory: 60 stall cards, allocated as 3 groups × 20. 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 20 stall cards per group enough for the activity, and which step created the longest wait?” Record the answer beside the returned inventory count.

Local Makers Market: Participant question response

A visitor asks whether they can join Local Makers Market halfway through the Sunday session at canal plaza. 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 stall cards. 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 stall cards before checking the group capacity. Keep the reply specific to the canal plaza session and offer a clear next step: speak with the welcome desk.

At a glance

Is this model right for you?

Use representative non-sensitive samples to evaluate quality, truncation, role behavior, actual token use, cache use, latency, and privacy. This page describes Kyeo AI's current product limits, not every feature available from the model vendor.

What it does best
Claude Opus 4.7 is positioned here as a premium text model for careful analysis, source synthesis, and review-ready writing; Opus 4.8 is the newer comparison in the same family.
Who it is for
Use non-sensitive long-document, review, and structured-writing samples to test text quality, latency, truncation, and credits.
Why use it on Kyeo AI
The current page deliberately focuses on text chat and exposes a clear 20,000-character input limit, 40-message history, and 4,096-token output cap.

Key facts

Quickly evaluate whether this model fits your business use case.

Category
AI conversation model
Vendor
Anthropic
Model family
Claude
Output limit
4,096 tokens per response
Input type
Text only
Conversation history
Up to 40 submitted messages
Prompt limit
20,000 characters
Upload limit
No attachments

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 7
Claude Opus 4.7 AI
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 4.7?
What does Claude Opus 4.7 cost?
Is Claude Opus 4.7 suitable for deep reasoning?
Is Claude Opus 4.7 suitable for writing?
How does Claude Opus 4.7 differ from Claude Opus 4.6?
How does Claude Opus 4.7 differ from Claude Opus 4.8?

Decision guide

Still deciding? Start with these key decision points.

1
When to prioritize it

Prioritize testing Claude Opus 4.7 when a task centers on dense text, complex tradeoffs, critical writing, or review and the result will inform later decisions.

2
When to compare another model first

For routine text Q&A, start by trying a lighter Claude or GPT model.

3
Minimum evaluation path

Run two research-synthesis tasks, one executive-memo task, and one review task on each candidate. Focus on the judgment framework, wording quality, and total output cost.

Popular comparisons

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

How does Claude Opus 4.7 differ from Opus 4.6?
Claude Opus 4.7 vs Claude Opus 4.6
How does Claude Opus 4.7 differ from Claude Sonnet 4.6?
Claude Opus 4.7 vs Claude Sonnet 4.6
How does Claude Opus 4.7 compare with Claude Opus 4.8?
Claude Opus 4.7 vs Claude Opus 4.8

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Cost sensitivity
Claude Opus 4.7
Strongly tied to token usage
Claude Sonnet 4.6
Strongly tied to token usage
Best-fit task
Claude Opus 4.7
Text chat
Claude Sonnet 4.6
Text chat

Real-world experience

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

Why Claude is often considered for writing and analysis

Searchers often ask how Claude differs from GPT or Gemini for long-document summaries, complex writing, and research rather than simply asking what Claude is. These queries reflect how the model is actually used.

Benchmarks and real-world work measure different things

Benchmark sites focus on intelligence, latency, and price, while content teams care more about consistent long-form output, stylistic consistency, and whether a workflow can be standardized as a template.

Capabilities

Bounded text chat

The page accepts text only, includes at most 40 submitted messages, and caps each response at 4,096 output tokens.

Settlement from actual usage

Successful responses record base input, output, cache creation, cache read, and cache-duration usage, then settle the final charge from the reported request total.

Feature scope stays explicit

Images, web search, tools, and advanced reasoning controls are not available on this page. Use the visible controls and limits as the product contract.

Use cases

Long-document analysis

Useful for complex documents, reports, source consolidation, and in-depth multi-turn analysis.

High-quality writing

Useful for strategy documents, explanatory drafts, and organizing longer content.

Complex research synthesis

Useful for turning material from multiple sources into structured conclusions.

Prompt tips

Define evaluation dimensions first

For analysis tasks, define the evaluation criteria and output structure before submitting the request.

Layer complex material

Provide the background first, then the source material, and finally the task requirements for more consistent results.

Verify final facts

Check time-sensitive, high-risk, and otherwise verifiable claims against independent trusted sources; do not treat fluent writing as factual evidence.

Why choose it

The current input boundary is explicitly text-only.
Supports up to 20,000 characters per message.
At most 40 submitted messages are included.
Successful responses record input and output token usage.

What to know first

This page does not claim a 1M-token context or 128K-token output; each response is capped at 4,096 output tokens.
Images, search, tools, adaptive thinking, and effort controls are not available.
Start with one representative sample using the selected settings, confirm that the result meets the objective, and only then scale up.
Before commercial use, test with your actual prompt, actual material, and actual delivery standards.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

No additional settings are available for this model.

Credit cost

Token-based pricing

285 credits per million base input tokens and 1,430 per million output tokens; cache reads use 0.1× the input rate, while 5-minute and 1-hour cache writes use 1.25× and 2×.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

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

Claude Sonnet 4.6

Claude Sonnet 4.6 is a text-only migration baseline on Kyeo AI between Sonnet 4.5 and Sonnet 5. It is no longer Anthropic's newest Sonnet, but remains useful for rerunning established 4.6 workflows or comparing 4.5, 4.6, and newer Kyeo AI models on the same tasks. This implementation is narrower than the official platform: each new message is limited to 20,000 JavaScript characters, only the 40 most recent messages are included, and attachments, web search, thinking, and tool execution are not exposed.

AI conversation model
Token-based pricing
View detailsUse now

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 Haiku 5.5

Use text conversations to organize ideas, draft content, or discuss questions.

AI conversation model
See the estimate for your current settings
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Sources

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

Source note

This page describes the current Kyeo AI experience: text-only chat, up to 20,000 characters per message, the 40 most recently submitted messages, and at most 4,096 output tokens per response. Pricing and feature claims below are limited to controls that are publicly available on this page.

Last updated: 2026-08-26
Anthropic: Claude Opus 4.7
Official
Open original source
Anthropic Docs: Opus 4.7 migration guide
Official
Open original source
Anthropic: Models overview
Official
Open original source
Anthropic Docs: Effort
Official
Open original source
Anthropic Privacy Center
Official
Open original source
Artificial Analysis: Claude Sonnet 4.5
Benchmark
Open original source
Artificial Analysis: Claude Opus 4.5
Benchmark
Open original source
Kyeo AI product scope
Integration

The limits, controls, pricing, and availability described on this page follow the current public Kyeo AI experience.