Measured on Composite
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.
AI model
Meta: Llama 3.2 3B Instruct
meta-llama/llama-3.2-3b-instruct
Meta: Llama 3.2 3B Instruct is a 131,072-token model served on Composite at $0.0625 per million tokens in and $0.413 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | meta-llama/llama-3.2-3b-instruct |
|---|---|
| Provider | cv11 |
| Context window | 131,072 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.0625 per million tokens |
| Output price | $0.413 per million tokens |
| Prompt caching | Not offered for this model |
| Moderated | No |
| Cost on a monthly plan | About 0.7 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Routing variants
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-3.2-3b-instruct:cheapThink |
cv11 | $0.0625 per million tokens input · $0.413 per million tokens output |
Pricing
$0.0625 per million tokens input · $0.413 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 0.7 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Llama models are a widely-supported open baseline, useful when you want predictable, well-documented behavior.
Context behavior
With a 131,072-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 low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Supplied by cv11, not written by Composite.
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