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
LiquidAI: LFM2.5-24B-A2B
liquid/lfm-2.5-24b-a2b
LiquidAI: LFM2.5-24B-A2B is a 128,000-token model served on Composite at $0.125 per million tokens in and $1.25 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | liquid/lfm-2.5-24b-a2b |
|---|---|
| Provider | cv11 |
| Context window | 128,000 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.125 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 |
| Thinking | Always on for this model |
| Moderated | No |
| Cost on a monthly plan | About 1.8 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 | liquid/lfm-2.5-24b-a2b:cheapThink |
cv11 | $0.125 per million tokens input · $1.25 per million tokens output |
Pricing
$0.125 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 1.8 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Liquid models use an efficient architecture aimed at fast responses on modest hardware budgets.
Context behavior
With a 128,000-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 low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
Supplied by cv11, not written by Composite.
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