LiquidAI: LFM2.5-24B-A2B✓ Catalog verified
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...
Overview
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...
Access: available through the official Liquid API. Context window: 128K.
Specifications
| API identifier | liquid/lfm-2.5-24b-a2b |
| Provider | Liquid |
| Model type | Text LLM |
| Context window | 128K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Oct 13, 2026 |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"top_k": 50,
"temperature": 0.1,
"repetition_penalty": 1.05
}Pricing
Live pricing components for liquid/lfm-2.5-24b-a2b as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $5e-8 | $0.05 / 1M | Per input token |
| Completion tokens | $7e-7 | $0.70 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.16Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call LiquidAI: LFM2.5-24B-A2B through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="liquid/lfm-2.5-24b-a2b",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AllenAI: Olmo 2 32B Instruct | Allenai | 128K | $0.05 | View → |
| Amazon: Nova Micro 1.0 | Amazon | 128K | $0.04 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does LiquidAI: LFM2.5-24B-A2B cost?
$0.05 per 1M input tokens and $0.70 per 1M output tokens on the official Liquid API.
What is the context window of LiquidAI: LFM2.5-24B-A2B?
LiquidAI: LFM2.5-24B-A2B supports up to 128K tokens of context.
Does LiquidAI: LFM2.5-24B-A2B support tool / function calling?
Yes, LiquidAI: LFM2.5-24B-A2B supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access LiquidAI: LFM2.5-24B-A2B?
Use the official Liquid API with the model id `liquid/lfm-2.5-24b-a2b`. See the Quick start section above for code examples.