Analysis Summary
LFM2-24B-A2B is a LiquidAI text model with a 128K context and exceptionally low pricing. The available benchmark results indicate limited general reasoning, instruction following, and tool interaction, while no vision or multimodal input is listed.
Its cost profile can work for simple classification, routing, deduplication, keyword grouping, and tightly templated SEO operations. The model should not be trusted with nuanced brand voice, factual synthesis, complex coding, or multi-step tool execution. A long context window is useful only when the model can reliably interpret the supplied material.
Use it as a narrow preprocessing component with deterministic checks and escalation. It may reduce cost for basic transformations, but it is not a suitable general-purpose client assistant.
Assessed September 7, 2026
Editorial notes
LFM2-24B-A2B is inexpensive and offers useful basic text generation for controlled workloads. Its very low reasoning, instruction-following, and tool performance make it unsuitable for complex client content or autonomous workflows.
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DFO Verdict
LFM2-24B-A2B is inexpensive and offers useful basic text generation for controlled workloads. Its very low reasoning, instruction-following, and tool performance make it unsuitable for complex client content or autonomous workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
5.9 Intelligence Index
How LiquidAI: LFM2-24B-A2B compares
LiquidAI: LFM2-24B-A2B ranks #366 of 438 AI models we track for overall intelligence. Its 128K-token context window is larger than 35% of the models we list. At $0.03 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.12 | $0.000120 |
What would LiquidAI: LFM2-24B-A2B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save LiquidAI: LFM2-24B-A2B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout LiquidAI: 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..
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Frequently asked questions about LiquidAI: LFM2-24B-A2B
How much does LiquidAI: LFM2-24B-A2B cost?
LiquidAI: LFM2-24B-A2B costs $0.03 per million input tokens and $0.12 per million output tokens.
What is the context window of LiquidAI: LFM2-24B-A2B?
LiquidAI: LFM2-24B-A2B has a context window of 128,000 tokens (128K).
Who created LiquidAI: LFM2-24B-A2B?
LiquidAI: LFM2-24B-A2B is developed by LiquidAI and was released on February 25, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm