Liquid AI LFM2.5-24B-A2B

LFM2.5-24B-A2B by Liquid AI excels in the Coding category, where it ranks #188 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

LFM2.5-24B-A2B is priced at $0.10 per million input tokens and $1.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, LFM2.5-24B-A2B holds rank #188 out of 440 models tracked. Its quality rank is #188 and adoption rank is #188. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

LFM2.5-24B-A2B has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (99/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

LFM2.5-24B-A2B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Liquid AI's website for current free tier availability and promotional offers.

LFM2.5-24B-A2B supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

LFM2.5-24B-A2B can generate up to 8K output tokens (8,192 tokens) per response. That is roughly 6,144 words. Sufficient for typical conversations, code snippets, and summaries.

LFM2.5-24B-A2B supports function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Yes, LFM2.5-24B-A2B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

LFM2.5-24B-A2B was developed by Liquid AI. It was released on October 13, 2026. You can access it through Liquid AI's API or download the model weights directly. Check our provider page for all models from Liquid AI and how they compare against each other.

Pick LFM2.5-24B-A2B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access LFM2.5-24B-A2B through Liquid AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.