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LiquidAI: LFM2.5-24B-A2B

Source description (English)

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...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
128,000 tokens
Maximum output
8,192 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.05
per 1M tokens
Output
$0.7
per 1M tokens
Cache read
$0.025
per 1M tokens
API

Model configuration

Default parameters

temperature
0.1
top_k
50
repetition_penalty
1.05

Reasoning

Reasoning required
Yes
Default parameters
No
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"liquid/lfm-2.5-24b-a2b","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobs
Available providers

1 Provider

Checked: October 14, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Liquid

fp8
Context
128K
Maximum output
8K
Input
$0.05
Output
$0.7
Cache read
$0.025
Cache write
Not provided
liquid

4 models

All models
liquid logoliquid

LiquidAI: d1-ultra

d1-ultra is Liquid AI's largest decision model, served as a System One endpoint. Send a state of text and images along with typed questions, and it returns a choice, a...

Context
33K
Input
text · image
Output
decisions
Input: $0.042 per 1M tokensOutput: Free per 1M tokens
View model details →
liquid logoliquid

LiquidAI: d1

d1 is Liquid AI's structured decision model, served as a System One endpoint. Send a state along with typed questions, and it returns a choice, a score, or a yes/no...

Context
66K
Input
text · image
Output
decisions
Input: $0.02 per 1M tokensOutput: Free per 1M tokens
View model details →
liquid logoliquid

LiquidAI: LFM2.5-Embedding-350M (free)

LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and used to train...

Context
1K
Input
text
Output
embeddings
Input: Freeper 1M tokens
View model details →
liquid logoliquid

LiquidAI: LFM2.5-2.6B

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

Context
128K
Input
text
Output
text
Input: $0.35Output: $0.5per 1M tokens
View model details →