Check current availability, input, output, credits, and proof first. If an online trial is available, test the model on the page; use Studio for saved history, assets, and longer iteration.
Example output
Example; generating model unverified · Best for inbox replies, support follow-up, and calm operational communication.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Chat preview for concise response drafting in Rivya.
Output
Example; generating model unverified · Best for inbox replies, support follow-up, and calm operational communication.
Best for
Inbox triage and quick internal Q&AFirst-pass rewrites for emails, docs, and support repliesBudget-sensitive internal summaries and rewritesFast extraction from notes, transcripts, and pasted text
Supports
Chat
Online trial
Try Claude Haiku 4.5
Use Claude Haiku 4.5 for fast Claude chat, lightweight rewrites, quick summaries, and lower-cost daily assistant work.
Input setup
Prepare this run
Estimated credits: 2+
Chat controls
Choose when Rivya can search the web, how much reasoning it should use, and whether to include model thoughts when the selected model supports them.
Thoughts
Let the model default decide, or explicitly include or hide thought traces when the provider supports them.
Start a conversation to turn planning, prompting, and creative direction into one reusable thread.
Text-first Claude project in Rivya's current front end
Best-fit tasks
Best-fit tasks
Inbox triage and quick internal Q&AFirst-pass rewrites for emails, docs, and support repliesBudget-sensitive internal summaries and rewritesFast extraction from notes, transcripts, and pasted text
Model proof
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Conversation preview for Short Reply Tone Fix Chat.
Example; generating model unverified · Useful when a reply is technically correct but too abrupt for a customer.
Conversation preview for Short Reply Tone Fix Chat.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Conversation preview for Support Macro Tightener Chat.
Example; generating model unverified · Keeps repeated support replies useful without expanding policy claims.
Conversation preview for Support Macro Tightener Chat.
Decision fit
When this model is the right choice
Decision fit
Fit signals
Better suited for low-latency, high-frequency use
Much cheaper token pricing than Sonnet or Opus
Text-first Claude project in Rivya's current front end
FAQ
Claude Haiku 4.5 FAQ
When should I use Claude Haiku 4.5 for chat work?
Use Claude Haiku 4.5 for fast, repeatable text work: inbox triage, internal Q&A, email rewrites, support replies, note extraction, and short summaries. It is a practical Claude option when response time and lower token cost matter more than the deepest analysis.
What is Claude Haiku 4.5's real scope on Rivya right now?
On Rivya, Claude Haiku 4.5 currently runs as a text-first chat project.
Which controls or inputs matter most once you're evaluating Claude Haiku 4.5 for real work?
Give it the source text, the audience, the action you want, and a clear output format. Haiku has few setup choices on this page, so a focused brief matters more than adjusting controls.
When is Claude Haiku 4.5 worth token-based spend?
Rivya currently bills 55 input credits and 285 output credits per million tokens. That tier fits high-volume short tasks where Haiku's speed and lower Claude-family cost can reduce the expense of repeated turns.
When should I choose Claude Haiku 4.5 over lighter or more expensive chat models?
Choose Haiku over Sonnet or Opus for faster, lower-cost routine work. Choose Sonnet when writing judgment or nuance matters more, and Opus when the analysis is difficult enough to justify the higher token tier.
What can I test first on this page?
Start here when the first response should test inbox triage, quick internal Q&A, first-pass rewrites, support replies, or budget-sensitive summaries on one Claude model. That gives you a contained first turn to check the prompt, direction, and response quality before moving into a longer project.
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.
What should I line up before I send the first turn?
Before the first turn, it matters more to line up the task frame, source material, and how careful the answer needs to be than to hunt for extra controls. On a text-first chat option like Claude Haiku 4.5, that opening setup usually decides whether the first result is strong enough for inbox triage and quick internal Q&A.
Do I need to sign in before I send here, and how do credits work?
The page is publicly visible, but the actual first send is still gated behind sign in. Rivya currently bills this by usage: 55 input credits and 285 output credits per million tokens. You can use this page to frame the question and choose the model first, then sign in when you are ready to start the live thread.
When should I stay on this page, and when should I move into the full Studio?
Stay on this page while the job is still a first conversation and you are testing whether Claude Haiku 4.5 can get traction on inbox triage and quick internal Q&A from the first turn. Open the full Studio once the work needs saved context, attached files, follow-up rounds, or a thread you know you will keep expanding.
Compare alternatives
Other models to consider next
Chat
Claude Opus 4.7
Anthropic's flagship Claude chat model on Rivya for deep reasoning, careful synthesis, executive writing, and high-impact text work.
Why consider it
Consider it when the credit note fits your next run: per_million_tokens · input=285 · output=1430 · cache_read_multiplier=0.1 · cache_write_5m_multiplier=1.25 · cache_write_1h_multiplier=2 · ⌈total⌉.
Anthropic's balanced Claude AI chat model on Rivya. It keeps strong long-form reasoning and careful analysis for content, research, and coding projects without jumping to Opus-level spend.
Why consider it
Consider it when the credit note fits your next run: per_million_tokens · input=170 · output=855 · cache_read_multiplier=0.1 · cache_write_5m_multiplier=1.25 · cache_write_1h_multiplier=2 · ⌈total⌉.
Best forReviewing long briefs, PRDs, and strategy docs
Chat
Claude Sonnet 4.5
Anthropic's balanced Claude AI chat model on Rivya. It is strong at nuanced writing, careful analysis, and safety-conscious responses, making it a strong Claude option for content creation and research.
Why consider it
Consider it when the credit note fits your next run: per_million_tokens · input=170 · output=855 · cache_read_multiplier=0.1 · cache_write_5m_multiplier=1.25 · cache_write_1h_multiplier=2 · ⌈total⌉.
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Lightweight Legal Redline chat preview cover.
Example; generating model unverified · Preview for Lightweight Legal Redline, focused on input context, structured reply, and actionable next steps.
Lightweight Legal Redline chat preview cover.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Customer Objection Cluster chat preview cover.
Example; generating model unverified · Preview for Customer Objection Cluster, focused on input context, structured reply, and actionable next steps.
Customer Objection Cluster chat preview cover.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Weekly Exec Status Synthesis chat preview cover.
Example; generating model unverified · Preview for Weekly Exec Status Synthesis, focused on input context, structured reply, and actionable next steps.
Weekly Exec Status Synthesis chat preview cover.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Conversation preview for Short Reply Tone Fix Chat.
Example; generating model unverified · Useful when a reply is technically correct but too abrupt for a customer.
Conversation preview for Short Reply Tone Fix Chat.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Conversation preview for Support Macro Tightener Chat.
Example; generating model unverified · Keeps repeated support replies useful without expanding policy claims.
Conversation preview for Support Macro Tightener Chat.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Lightweight Legal Redline chat preview cover.
Example; generating model unverified · Preview for Lightweight Legal Redline, focused on input context, structured reply, and actionable next steps.
Lightweight Legal Redline chat preview cover.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Customer Objection Cluster chat preview cover.
Example; generating model unverified · Preview for Customer Objection Cluster, focused on input context, structured reply, and actionable next steps.
Customer Objection Cluster chat preview cover.
chat thread
Ask Rivya to summarize quickly, do lightweight analysis, or handle frequent low-cost collaboration tasks.
Weekly Exec Status Synthesis chat preview cover.
Example; generating model unverified · Preview for Weekly Exec Status Synthesis, focused on input context, structured reply, and actionable next steps.
Weekly Exec Status Synthesis chat preview cover.
Useful for lightweight analysis and rewrites
Fits cost-sensitive everyday collaboration
Best-fit tasks
Use it when the task looks like this
Inbox triage and quick internal Q&AFirst-pass rewrites for emails, docs, and support repliesBudget-sensitive internal summaries and rewritesFast extraction from notes, transcripts, and pasted textHigh-volume assistant work where latency matters
