AI model
meta-llama/llama-4-maverick
Meta: Llama 4 Maverick is a 524,288-token model served on Composite at $0.438 per million tokens in and $1.25 per million tokens out.
Try in Playground| Model ID | meta-llama/llama-4-maverick |
|---|---|
| Provider | cv11 |
| Context window | 524,288 tokens |
| Accepts | text, image |
| Returns | text |
| Input price | $0.438 per million tokens |
| Output price | $1.25 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 3.8 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Make a Composite API key and type meta-llama/llama-4-maverick 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.
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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.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | meta-llama/llama-4-maverick:cheapThink |
cv11 | $0.438 per million tokens input · $1.25 per million tokens output |
$0.438 per million tokens input · $1.25 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 3.8 plan credits, at the provider's own price.
cv11
Llama models are a widely-supported open baseline, useful when you want predictable, well-documented behavior.
With a 524,288-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.
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Supplied by cv11, not written by Composite.
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