LFM2.5-24B-A2B
Summary
LFM2.5-24B-A2B is an open-weight language model from Liquid, released on 13 Oct 2026. It accepts text and generates text, with a 128K-token context window and up to 8K output tokens per response. As of 17 Oct 2026, the lowest listed API price is $0.05 per million input tokens and $0.70 per million output tokens (OpenRouter), across 1 provider we track.
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...
Last verified 17 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | Liquid |
|---|---|
| Release date | 13 Oct 2026 [OpenRouter] |
| Status | Generally available |
| Weights | Open weights [Hugging Face] |
| License | lfm1.0 [Hugging Face] |
| Parameters | 24B [Hugging Face] |
| Context window | 128K (128,000 tokens) [OpenRouter] |
| Max output | 8K tokens [OpenRouter] |
| Input | Text [OpenRouter] |
| Output | Text [OpenRouter] |
| Reasoning mode | Yes [OpenRouter] |
| Tool calling | Yes [OpenRouter] |
| Structured output | Yes [OpenRouter] |
| Hugging Face | LiquidAI/LFM2.5-24B-A2B [Hugging Face] |
LFM2.5-24B-A2B API pricing by provider
USD per million tokens. Sorted by input price.
| Provider | Input | Output | Cached input | Context | Source |
|---|---|---|---|---|---|
| OpenRouter liquid/lfm-2.5-24b-a2b | $0.05 | $0.70 | $0.03 | 128K | OpenRouter, 17 Oct 2026 |
Running LFM2.5-24B-A2B locally
Estimated memory, from the parameter count and the architecture in config.json on Hugging Face. Includes about 0.8 GB of runtime overhead.
| Quantization | Weights | Total, 8K context | Total, 32K context |
|---|---|---|---|
| Q4_K_M (4-bit) | 15 GB | 16 GB | 16 GB |
| Q8_0 (8-bit) | 25 GB | 26 GB | 27 GB |
| FP16 / BF16 (16-bit) | 48 GB | 49 GB | 49 GB |
At 4-bit with an 8K conversation, LFM2.5-24B-A2B needs about 16 GB, so it fits on a graphics card with 24 GB or more, such as the NVIDIA GeForce RTX 3090 24 GB. Check your own hardware.
Frequently asked questions
What is the context window of LFM2.5-24B-A2B?
LFM2.5-24B-A2B has a context window of 128,000 tokens (128K) and can generate up to 8,192 tokens in a single response, according to OpenRouter.
How much does the LFM2.5-24B-A2B API cost?
LFM2.5-24B-A2B is listed from $0.05 per million input tokens and $0.70 per million output tokens (OpenRouter). Prices last verified 17 Oct 2026.
Is LFM2.5-24B-A2B open source?
LFM2.5-24B-A2B is an open-weight model: its weights are published on Hugging Face as LiquidAI/LFM2.5-24B-A2B under the lfm1.0 license. Check the license terms before commercial use.
When was LFM2.5-24B-A2B released?
Liquid released LFM2.5-24B-A2B on 13 Oct 2026, according to OpenRouter.
How much VRAM does LFM2.5-24B-A2B need?
About 16 GB at 4-bit (Q4_K_M) with an 8K-token conversation, and about 26 GB at 8-bit. The 4-bit model fits on a graphics card with 24 GB or more, such as the NVIDIA GeForce RTX 3090 24 GB. These are estimates from the model's published parameter count and architecture.
Change history
- License changed from none to lfm1.0
- Parameter count changed from none to 24B
- Added to the directory
- Now listed on OpenRouter