LLMS • CURATED • UPDATED OCT 19, 2026

Liquid LFM2.5-24B-A2B

A 24B open-weight reasoning model that runs only 2B per token, built for fast local agents
Price
Freemium
API
Yes
Weights
Yes

LFM2.5-24B-A2B is Liquid AI's largest and final LFM2.5 model, released October 13, 2026. It is a mixture-of-experts reasoning model with 24 billion total parameters and 2 billion active per token, thinks before it answers, handles tool calls and multilingual text, and has a 131,072-token context, up from 32,768 in LFM2. Liquid reports 184 tokens per second on an Apple M5 Max and 114 on an AMD Ryzen AI Max+ 395. On its own tables it leads or matches Qwen3.6-35B-A3B on five of eight tool-use and agent benchmarks and all three instruction-following ones, while trailing larger models on coding and knowledge tests. Weights are on Hugging Face under Liquid AI's model licence, with support for llama.cpp, MLX, vLLM, SGLang and ONNX, and a hosted API on Liquid Console.

Most open models good at tool use need a workstation GPU. This one runs fast on a laptop because only 2B parameters fire per token, which makes private, local agents practical. Liquid is candid that it is weaker at coding and knowledge, so pick it for agents that call tools, not for writing code.

Pricing Freemium
Platforms api, local
API Yes
Open Source Yes
Modalities LLMs
Best For Best for Local Agents
Date Added 2026-10-19
  • ✓Only 2B active parameters per token
  • ✓184 tokens per second on an Apple M5 Max, per Liquid
  • ✓Leads Qwen3.6-35B-A3B on most of Liquid's tool-use and agent tests
  • ✓131K-token context
  • ✓Runs in llama.cpp, MLX, vLLM, SGLang and ONNX
  • ⚠Behind larger models on coding and knowledge benchmarks, by Liquid's own tables
  • ⚠Reasoning-only: it always writes a chain of thought before answering
  • ⚠Released under Liquid's own model licence, not Apache or MIT
  • ⚠Benchmarks are Liquid's own, with no independent results yet

Try it in Liquid's playground or through Liquid Console, which starts you with $2 of credit. To run it locally, pull the GGUF for llama.cpp or the MLX build on a Mac. Read Liquid's model licence before commercial use.

Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Q

Is Liquid LFM2.5-24B-A2B free?

A

Liquid LFM2.5-24B-A2B offers a free tier with optional paid upgrades.

Q

Does Liquid LFM2.5-24B-A2B have an API?

A

Yes, Liquid LFM2.5-24B-A2B offers an API for programmatic integration.

Q

What is Liquid LFM2.5-24B-A2B best for?

A

Liquid LFM2.5-24B-A2B is best for Local Agents. LFM2. Most open models good at tool use need a workstation GPU. This one runs fast on a laptop because only 2B parameters fire per token, which makes private, local agents practical. Liquid is candid that it is weaker at coding and knowledge, so pick it for agents that call tools, not for writing code.

Q

What platforms does Liquid LFM2.5-24B-A2B support?

A

Liquid LFM2.5-24B-A2B supports api, local.

Q

Is Liquid LFM2.5-24B-A2B open source?

A

Yes, Liquid LFM2.5-24B-A2B is open source. You can access the source code, contribute, and deploy it on your own infrastructure.

Q

How do I get started with Liquid LFM2.5-24B-A2B?

A

Try it in Liquid's playground or through Liquid Console, which starts you with $2 of credit. To run it locally, pull the GGUF for llama.cpp or the MLX build on a Mac. Read Liquid's model licence before commercial use.

Q

How do I use Liquid LFM2.5-24B-A2B?

A

Liquid LFM2.5-24B-A2B is a large language model for text generation, analysis, and conversation. Use the API for programmatic access. Enter prompts or questions to get responses. It excels at only 2b active parameters per token.

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