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Specifications
Specifications and pricing as served by Composite
Model ID
anthropic/claude-opus-5-reasoning
Provider
cv11
Context window
1,000,000 tokens
Accepts
text, image, file
Returns
text
Input price
$6.25 per million tokens
Output price
$31.3 per million tokens
Prompt caching
Supported — cached input is billed at the provider's cache rate, on credits and plans alike
Web search
$0.0125 per result
Thinking
Optional - see "Anthropic: Claude Opus 5 (Reasoning) (Reasoning)" in the catalog to turn it on by default
Moderated
Yes - by the provider
Cost on a monthly plan
About 65 plan credits per typical call (8k in, 1k out)
Routing endpoints
1
Use Anthropic: Claude Opus 5 (Reasoning) in JanitorAI or SillyTavern
Make a Composite API key and type anthropic/claude-opus-5-reasoning as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
Pricing
$6.25 per million tokens input · $31.3 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 65 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Claude models are widely regarded for nuanced, in-character writing and for following detailed system prompts and character cards closely.
Context behavior
With a 1,000,000-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is priced for quality-sensitive scenes, where writing quality and instruction-following matter more than minimizing per-message cost.
From the provider
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...