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Specifications
Specifications and pricing as served by Composite
Model ID
x-ai/grok-4.3-reasoning
Provider
cv11
Context window
1,000,000 tokens
Accepts
text, image, file
Returns
text
Input price
$1.56 per million tokens
Output price
$3.13 per million tokens
Prompt caching
Supported — cached input is billed at the provider's cache rate, on credits and plans alike
Web search
$0.0063 per result
Thinking
Optional - see "SpaceXAI: Grok 4.3 (Reasoning) (Reasoning)" in the catalog to turn it on by default
Moderated
No
Cost on a monthly plan
About 13 plan credits per typical call (8k in, 1k out)
Routing endpoints
1
Use SpaceXAI: Grok 4.3 (Reasoning) in JanitorAI or SillyTavern
Make a Composite API key and type x-ai/grok-4.3-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
$1.56 per million tokens input · $3.13 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 13 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Grok models lean toward a more direct, less filtered writing style than many alternatives.
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 sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.
From the provider
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...