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/llama-3.2-1b-instruct
Meta: Llama 3.2 1B Instruct is a 60,000-token model served on Composite at $0.0338 per million tokens in and $0.251 per million tokens out.
Try in Playground| Model ID | meta-llama/llama-3.2-1b-instruct |
|---|---|
| Provider | cv11 |
| Context window | 60,000 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.0338 per million tokens |
| Output price | $0.251 per million tokens |
| Prompt caching | Not offered for this model |
| Moderated | No |
| Cost on a monthly plan | About 0.4 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
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-3.2-1b-instruct:cheapThink |
cv11 | $0.0338 per million tokens input · $0.251 per million tokens output |
$0.0338 per million tokens input · $0.251 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 0.4 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.
Its 60,000-token context window covers most single-session roleplay threads comfortably. For campaigns that run over many sessions, expect older messages to eventually drop out of context.
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Supplied by cv11, not written by Composite.
Meta: Muse Spark Open · Meta: Muse Wonder · Meta: Muse Spark 1.3 Contributor