Use Claude Opus 5 to organize a consequential decision into evidence, scenarios, risk owners, mitigations, and unresolved questions.
Example output
Scenarios, owners, mitigations, and decision gates stay explicit.
Chat
Example output
Scenarios, owners, mitigations, and decision gates stay explicit.
Build a board-ready risk memo from this evidence, with scenarios, owners, mitigations, and unresolved questions.
Chat preview of a Claude Opus 5 board risk memo.
Output
Scenarios, owners, mitigations, and decision gates stay explicit.
Best for
Supports
Online trial
Input setup
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.
Prompt starters
Use a template already mapped to Claude Opus 5 when you want a stronger first run than a blank prompt.
Model proof
Use the online trial above, then compare these example results to judge finish, rhythm, and task fit before you spend more credits in Studio.
Build a board-ready risk memo from this evidence, with scenarios, owners, mitigations, and unresolved questions.
Chat preview of a Claude Opus 5 board risk memo.
Output
Scenarios, owners, mitigations, and decision gates stay explicit.
Lead sample
Chat preview of a Claude Opus 5 board risk memo.
Input
Prompt only
What to notice
Chat preview of a Claude Opus 5 board risk memo.
Credits per use
per_million_tokens · input=400 · output=2000 · cache_read_multiplier=0.1 · cache_write_5m_multiplier=1.25 · cache_write_1h_multiplier=2 · ⌈total⌉
Why this model works
Risk and scenario framing
Decision documentation
Normal and streaming chat
Best-fit tasks
Decision fit
Decision fit
Best-fit tasks
Use it when the task looks like this
Quiet facts
Provider
Anthropic
Category
Chat
Capabilities
Chat
Credit model
per_million_tokens · input=400 · output=2000 · cache_read_multiplier=0.1 · cache_write_5m_multiplier=1.25 · cache_write_1h_multiplier=2 · ⌈total⌉
Input path
Prompt only
Prompt setup
Up to 20,000 chars
Developer access
Call Claude Opus 5 from Public API v1 after checking the model fields, reference media rules, and credit behavior.
Claude Opus 5 FAQ
You can run text-first chat for risk framing, scenario comparison, and decision records. Rivya supports normal and streaming responses for this model.
Rivya settles from reported usage. The current contract rates are 400 input credits and 2000 output credits per million tokens.
No. Rivya's current Claude Opus 5 contract is text-first; provide approved evidence as text.
Yes. Rivya supports both a normal response and SSE streaming under the same bounded output contract.
No. Supply approved scoring criteria and evidence, or require the response to mark those values as unresolved.
Provide the decision, evidence, scenarios, risk owners, likelihood and impact assumptions, mitigations, review date, and questions that still need an answer.
Yes. Sign in and provide the decision, evidence, scenarios, owners, and review horizon.
No. The workflow organizes supplied evidence; accountable people must validate the memo and make the decision.
Check scenario assumptions, risk ownership, mitigations, leading indicators, decision gates, and review dates.
Use the full Chat Studio when the risk record needs saved context and iterative challenge.
Compare alternatives
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⌉.
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⌉.
