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AI conversation model
Anthropic
Claude

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.

Capability
Text chat
Credit cost
Input 55 / output 285 / million tokens
Prompt limit
20,000 characters
Upload limit
No attachments
Processes text with a 4,096-token output cap per response
Does not expose images, search, tools, thinking, or effort
Base rates are 55 input and 285 output credits per million tokens, with 0.1× cache reads and 1.25×/2× cache writes.
30-second overview
Claude
Token-based pricing
What it does best
Claude Haiku 4.5 is Kyeo AI's fast Claude AI chat option for quick reading, lightweight rewrites, inbox triage, and low-cost everyday assistant work.
Best for
Redacted fixed-sample evaluation of summarization, rewriting, classification, basic Q&A, and local code explanation; not unsupervised customer replies or high-risk decisions.
Popular searches
How do I use Claude Haiku 4.5?What is the current price of Claude Haiku 4.5?Does Claude Haiku 4.5 offer low latency?

At a glance

What is this model like?

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 Haiku 4.5 is Kyeo AI's fast Claude AI chat option for quick reading, lightweight rewrites, inbox triage, and low-cost everyday assistant work.
Best for
Redacted fixed-sample evaluation of summarization, rewriting, classification, basic Q&A, and local code explanation; not unsupervised customer replies or high-risk decisions.
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 assess whether this model fits your 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

Also known as

The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.

Claude Haiku 4 5
claude-haiku-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 Haiku 4.5?
What is the current price of Claude Haiku 4.5?
Does Claude Haiku 4.5 offer low latency?
How does Claude Haiku 4.5 differ from Claude Sonnet 4.5?
How does Claude Haiku 4.5 differ from GPT-5.2?
Does Claude Haiku 4.5 currently support images?
Does Claude Haiku 4.5 currently support web search?
Does Claude Haiku 4.5 currently support tool calls?
Is Claude Haiku 4.5 suitable for customer Q&A?
Is Claude Haiku 4.5 suitable as the default lightweight Claude model?

Selection guide

Use these decision points when choosing a model.

1
When evaluating frequent lightweight tasks

Use a fixed set of summarization, classification, rewriting, and short-code samples. Record first-pass acceptance, latency, tokens, and credits before deciding whether to use it in bulk.

2
What can I set up on this page?

This page is set up as the public chat entry for Claude Haiku 4.5. That keeps the first result centered on inbox triage and quick internal Q&A instead of forcing the work into a longer thread too early.

3
Before customer-facing automation

Build source controls, refusal rules, human escalation, sensitive-data handling, injection defenses, and sampled QA. Fluent output is not a customer-service or compliance process.

Popular comparisons

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

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

Model comparison

Compare the current model with alternatives at a glance.

Role on Kyeo AI
Claude Haiku 4.5
Lightweight Claude entry point
Claude Sonnet 4.5
Legacy Sonnet compatibility baseline
Claude Sonnet 4.6
Intermediate-generation migration baseline
Visible capabilities
Claude Haiku 4.5
Text-only Claude workspace
Claude Sonnet 4.5
Text only, legacy Sonnet comparison tier
Claude Sonnet 4.6
Text only, intermediate-generation comparison tier
Best fit
Claude Haiku 4.5
Frequent Q&A, lightweight analysis, and quick code explanation
Claude Sonnet 4.5
Regression testing and migration comparisons for existing Sonnet 4.5 tasks
Claude Sonnet 4.6
Regression testing and migration comparisons for existing Sonnet 4.6 tasks

Practical usage insights

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

Summarization, rewriting, and classification evaluation

Suitable for well-specified text tasks with human sampling; launch decisions must use measured pass rate.

Local code explanation

Explain snippets and suggest test ideas; this cannot replace running the code, security review, dependency checks, or production validation.

Supervised response drafts

Create reply drafts for human review; do not make unreviewed factual, policy, refund, medical, legal, or financial commitments.

Prompt tips

Put evidence in the current message

There is no web search. Supply the required material and request evidence-bound answers, then check omissions and misreadings.

Put critical role constraints in the user message

The current workflow converts system-like roles into user text.

Track rework with fixed samples

Measure accuracy, human editing time, failed retries, tokens, and credits together—not just one response speed or list price.

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 parameters

Quickly assess whether this model fits your use case.

No additional settings are available on this page.

Credit usage

Token-based pricing

55 credits per million base input tokens and 285 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×.

Budget tip

Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.

FAQ

Related models

Compare these similar candidates before deciding.

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

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

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.

AI conversation model
Token-based pricing

Sources

Content is based on model documentation, feature references, and the settings available on Kyeo AI.

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 Haiku 4.5
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Anthropic: Introducing Claude Haiku 4.5
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Anthropic: Models overview
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Anthropic: Model deprecations
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Anthropic: Pricing
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Anthropic: Claude Haiku 4.5 system card
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