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Kyeo AI
AI conversation model
Anthropic
Claude

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.

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 4.6? · What is the current price of Claude Sonnet 4.6? · How should I choose between Claude Sonnet 4.6 and Claude Sonnet 4.5?

Examples

Weekend Walking Group: Opening day coordination

Plan a 90-minute Saturday opening for Weekend Walking Group at the north gate. We have 99 trail cards and groups of 33.
Use 3 groups with one coordinator per group. 00:00–00:10: welcome and explain the activity. 00:10–00:20: distribute 33 trail 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 north gate and check the inventory.
What should the coordinator check first?
Count the 99 trail cards before visitors arrive. Confirm a clear entrance and an accessible work area at the north gate, then give each of the 3 group leads the same timing sheet.

Weekend Walking Group: Supply budget calculation

Weekend Walking Group needs 99 trail cards at $11.35 each. Add a 10% reserve. Show the arithmetic.
Supplies: 99 × $11.35 = $1123.65. Reserve: $1123.65 × 0.10 = $112.37. Planned total: $1236.02. This is a planning calculation using the supplied prices.
What if we reduce the quantity by one group?
Remove 33 units, leaving 66. Supplies become $749.10; a 10% reserve adds $74.91, for a total of $824.01.

Weekend Walking Group: Visitor announcement

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

Weekend Walking Group: Inventory CSV validation

Write Python to validate Weekend Walking Group 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: trail cards,99 ```
What are two useful validation cases?
The row `trail cards,99` should pass. The row `trail cards,-1` should raise a ValueError because a negative quantity is outside the stated inventory contract. An empty item should also fail.

Weekend Walking Group: Coordinator handover note

Create a concise handover note for Weekend Walking Group: 99 trail cards, 3 groups, meeting Saturday at north gate.
Handover — Weekend Walking Group Location: north gate; day: Saturday. Inventory: 99 trail cards, allocated as 3 groups × 33. 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 33 trail cards per group enough for the activity, and which step created the longest wait?” Record the answer beside the returned inventory count.

Weekend Walking Group: Participant question response

A visitor asks whether they can join Weekend Walking Group halfway through the Saturday session at north gate. 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 trail 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 trail cards before checking the group capacity. Keep the reply specific to the north gate 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
A migration baseline between Sonnet 4.5 and Sonnet 5, useful for rerunning established prompts and comparing upgrade benefits rather than as the current Sonnet line.
Who it is for
Regression testing established Sonnet 4.6 prompts, text analysis and revision, code explanation, structured drafting, and controlled comparisons from 4.5 through newer generations.
Why use it on Kyeo AI
This page brings together the available text input, 40-message history, credit rates, and usage boundaries so you can compare Claude versions before submitting.

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 6
claude-sonnet-4-6
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 4.6?
What is the current price of Claude Sonnet 4.6?
How should I choose between Claude Sonnet 4.6 and Claude Sonnet 4.5?
How does Claude Sonnet 4.6 differ from Claude Opus 4.6?
How does Claude Sonnet 4.6 differ from GPT-5.4?
Does Claude Sonnet 4.6 currently support images?
Does Claude Sonnet 4.6 currently support web search?
Is Claude Sonnet 4.6 suitable as a primary workbench model?
Was Claude Sonnet 4.6 a same-price upgrade?
Is Claude Sonnet 4.6 suitable for long tasks?

Decision guide

Still deciding? Start with these key decision points.

1
Regression-test established 4.6 workflows

Use accepted 4.6 samples to check format adherence, factual errors, truncation, and the amount of manual editing required.

2
Compare newer Sonnet models for new projects

Sonnet 5 became Anthropic’s new default generation on June 30, 2026. Treat 4.6 as an intermediate baseline, not an automatic default for new work.

3
Judge migration with task evidence

Test one structured-analysis task, one format-constrained rewrite, and one code-explanation task. Compare first-pass acceptance, revisions, latency, input and output tokens, and final credits. Provide verified sources directly whenever current information is needed.

Popular comparisons

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

How does Claude Sonnet 4.6 compare with Claude Sonnet 4.5?
Claude Sonnet 4.6 vs Claude Sonnet 4.5
How does Claude Sonnet 4.6 compare with Claude Opus 4.6?
Claude Sonnet 4.6 vs Claude Opus 4.6
How does Claude Sonnet 4.6 compare with GPT-5.4?
Claude Sonnet 4.6 vs GPT-5.4

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 4.6
Intermediate Sonnet migration baseline
Claude Sonnet 4.5
Previous Sonnet baseline
Visible capabilities
Claude Sonnet 4.6
Text-only Claude workspace
Claude Sonnet 4.5
Text only, previous workhorse
Best fit
Claude Sonnet 4.6
Legacy workflow regression and structured text tasks
Claude Sonnet 4.5
Compatibility with the previous workhorse

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 4.6 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 4.6 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 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.

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