LFM2-24B-A2B
LiquidAI • LLM
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...
Specifications
Context Window
33K tokens
Input Price/1M
$0.03
Output Price/1M
$0.12
Parameters
—
Speed
135 tok/s
Latency (TTFT)
314ms
Benchmarks
LFM2-24B-A2B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 11.0 | 100.0 | — |
| AA Coding Index | 3.6 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 10.5 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 47.0 | 100.0 | Artificial Analysis official API |
| IFBench | 46.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 11.0 | 100.0 | — |
Information
- Release date
- February 25, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: LFM2-24B-A2B
What is LFM2-24B-A2B?
LFM2-24B-A2B is an AI model developed by LiquidAI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 33K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Pricing & Costs in 2026
LFM2-24B-A2B is usage-based, priced at $0.03/1M input tokens and $0.12/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
LFM2-24B-A2B was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
LFM2-24B-A2B is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, LFM2-24B-A2B competes directly with similarly capable models. LiquidAI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is LFM2-24B-A2B?
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...
How much does LFM2-24B-A2B cost?
LFM2-24B-A2B costs $0.03/1M input tokens and $0.12/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does LFM2-24B-A2B compare with other models?
In available benchmarks, LFM2-24B-A2B scored: Terminal-Bench Hard: 0/100, SciCode: 11/100, AA Coding Index: 3.6/100. See the full table above for a detailed comparison.
Is LFM2-24B-A2B open source?
Yes, LFM2-24B-A2B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is LFM2-24B-A2B best for?
LFM2-24B-A2B excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →