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...
Context Window
33K tokens
Input Price/1M
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Output Price/1M
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Parameters
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LFM2-24B-A2B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 11.0 | 100.0 | — |
| AA Coding Index | 3.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 4.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 47.0 | 100.0 | Artificial Analysis official API |
| IFBench | 46.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 11.0 | 100.0 | — |
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.
LFM2-24B-A2B does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check LiquidAI's official website for up-to-date availability and pricing.
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.
LFM2-24B-A2B is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
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.
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...
LFM2-24B-A2B does not have public per-token pricing available at this time. Check LiquidAI's official website for up-to-date information.
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.
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.
LFM2-24B-A2B excels at general-purpose language tasks.
Last updated: July 17, 2026 • View methodology →