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Kyeo AI
AI conversation model
Anthropic
Claude

Claude Sonnet 4.5

Kyeo AI offers Claude Sonnet 4.5 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.

Use this modelView credit pricingBack to Model Hub
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 170 input and 855 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 Sonnet 4.5? · What is the current price of Claude Sonnet 4.5? · How does Claude Sonnet 4.5 differ from Claude Haiku 4.5?

Examples

Community Film Night: Opening day coordination

Plan a 90-minute Saturday opening for Community Film Night at the outdoor screen. We have 144 ticket slips and groups of 36.
Use 4 groups with one coordinator per group. 00:00–00:10: welcome and explain the activity. 00:10–00:20: distribute 36 ticket slips 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 outdoor screen and check the inventory.
What should the coordinator check first?
Count the 144 ticket slips before visitors arrive. Confirm a clear entrance and an accessible work area at the outdoor screen, then give each of the 4 group leads the same timing sheet.

Community Film Night: Supply budget calculation

Community Film Night needs 144 ticket slips at $12.05 each. Add a 10% reserve. Show the arithmetic.
Supplies: 144 × $12.05 = $1735.20. Reserve: $1735.20 × 0.10 = $173.52. Planned total: $1908.72. This is a planning calculation using the supplied prices.
What if we reduce the quantity by one group?
Remove 36 units, leaving 108. Supplies become $1301.40; a 10% reserve adds $130.14, for a total of $1431.54.

Community Film Night: Visitor announcement

Write a warm announcement for Community Film Night, meeting on Saturday at the outdoor screen. Mention limited ticket slips, without promising availability.
Join Community Film Night this Saturday at the outdoor screen. Meet neighbors, learn together, and take part at your own pace. We will share the available ticket slips across small groups. Supplies are limited, so please check with the welcome desk when you arrive.
Shorten it to an event sign.
Community Film Night Saturday · outdoor screen Welcome! Ask the desk about available ticket slips and today’s small-group activities.

Community Film Night: Inventory CSV validation

Write Python to validate Community Film Night 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: ticket slips,144 ```
What are two useful validation cases?
The row `ticket slips,144` should pass. The row `ticket slips,-1` should raise a ValueError because a negative quantity is outside the stated inventory contract. An empty item should also fail.

Community Film Night: Coordinator handover note

Create a concise handover note for Community Film Night: 144 ticket slips, 4 groups, meeting Saturday at outdoor screen.
Handover — Community Film Night Location: outdoor screen; day: Saturday. Inventory: 144 ticket slips, allocated as 4 groups × 36. 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 36 ticket slips per group enough for the activity, and which step created the longest wait?” Record the answer beside the returned inventory count.

Community Film Night: Participant question response

A visitor asks whether they can join Community Film Night halfway through the Saturday session at outdoor screen. 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 ticket slips. 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 ticket slips before checking the group capacity. Keep the reply specific to the outdoor screen 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 Sonnet 4.5 on Kyeo AI is a text-only compatibility option for established Claude workflows, not Anthropic’s newest Sonnet generation.
Who it is for
Regression testing existing Sonnet 4.5 prompts, text analysis and revision, code explanation, structured drafts, and controlled comparisons with newer versions.
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 Sonnet 4 5
claude-sonnet-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 Sonnet 4.5?
What is the current price of Claude Sonnet 4.5?
How does Claude Sonnet 4.5 differ from Claude Haiku 4.5?
How should I choose between Claude Sonnet 4.5 and Claude Sonnet 4.6?
How does Claude Sonnet 4.5 differ from GPT-5.2?
Does Claude Sonnet 4.5 currently support images?
Does Claude Sonnet 4.5 currently support web search?
Is Claude Sonnet 4.5 suitable for long-document analysis?
Is Claude Sonnet 4.5 suitable as the default workhorse?
Is Claude Sonnet 4.5 suitable for complex writing?

Decision guide

Still deciding? Start with these key decision points.

1
Keep 4.5 for a controlled baseline

Use it when you have validated 4.5 prompts, output formats, or human-review benchmarks and need to reproduce old results or control migration variables.

2
Compare newer generations for new work

This page is set up as the public chat entry for Claude Sonnet 4.5. That keeps the first result centered on editorial rewrites and tone-sensitive writing instead of forcing the work into a longer thread too early.

3
Claude: Balance output and credits

Test one structured-analysis task, one format-constrained rewrite, and one code-explanation task. Record first-pass acceptance, revision count, input and output tokens, and final credits. If a task needs current information, provide verified material separately because this route cannot search.

Popular comparisons

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

How does Claude Sonnet 4.5 compare with Claude Haiku 4.5?
Claude Sonnet 4.5 vs Claude Haiku 4.5
How does Claude Sonnet 4.5 compare with Claude Sonnet 4.6?
Claude Sonnet 4.5 vs Claude Sonnet 4.6
How does Claude Sonnet 4.5 compare with GPT-5.2?
Claude Sonnet 4.5 vs GPT-5.2

Model comparison table

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

Role on Kyeo AI
Claude Sonnet 4.5
Legacy Sonnet compatibility baseline
Claude Haiku 4.5
Lightweight Claude entry point
Claude Sonnet 4.6
Intermediate-generation migration baseline
Visible capabilities
Claude Sonnet 4.5
Text-only Claude workspace
Claude Haiku 4.5
Text only, lower cost, lighter tasks
Claude Sonnet 4.6
Text only, intermediate-generation comparison tier
Best fit
Claude Sonnet 4.5
Long analysis, complex writing, and research synthesis
Claude Haiku 4.5
Frequent light tasks and quick summaries
Claude Sonnet 4.6
Regression testing and migration comparisons for existing Sonnet 4.6 tasks

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

Legacy prompt regression

Replay a fixed sample set from an established Sonnet 4.5 workflow and measure format adherence, factual errors, and reviewer edits.

Structured text processing

Paste meeting notes, requirements, or code and request output under clearly defined fields.

Migration comparison

Run the same tasks on Sonnet 4.5 and a newer Kyeo AI model, then use actual acceptance rate, latency, and credits to decide whether to migrate.

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

170 credits per million base input tokens and 855 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 Haiku 4.5

Claude Haiku 4.5 is a text-only Text chat entry on this site. Each new message is limited to 20,000 characters and a request includes only the 40 most recently submitted messages; images, web search, reasoning/thinking, and tool configuration are not available.

AI conversation model
Token-based pricing
View detailsUse now

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 Haiku 5.5

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

AI conversation model
See the estimate for your current settings
View detailsUse now

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: Introducing Claude Sonnet 4.5
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Open original source
Anthropic: Claude Sonnet model page
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Anthropic: Introducing Claude Sonnet 4.6
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Anthropic: Introducing Claude Sonnet 5
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Anthropic: Claude Sonnet 4.5 system card
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