LiquidAI: LFM2-8B-A1B
Analysis Summary
LiquidAI's LFM2-8B-A1B is a compact text generation model designed for low-cost deployment. It offers a 32K context window and recorded results across mathematics, reasoning, coding, instruction following, and tool-oriented evaluation, but those results indicate limited depth compared with production flagships.
The model fits lightweight classification, extraction, routing, templated responses, and other high-volume tasks where latency and token cost matter more than nuanced reasoning. Its low input and output pricing support economical automation, although the available data does not show the reliability needed for complex agents, software engineering, or polished client-facing copy.
Adopt it for constrained routine workloads with strong validation and fallback handling. It is not the right default for demanding content, long-document analysis, or autonomous workflows.
Assessed September 7, 2026
Editorial notes
LFM2-8B-A1B is an inexpensive compact model with a 32K context and measurable general and coding capability. Its limited reasoning and instruction-following performance make it better suited to simple, high-volume automation than client-facing work.
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DFO Verdict
LFM2-8B-A1B is an inexpensive compact model with a 32K context and measurable general and coding capability. Its limited reasoning and instruction-following performance make it better suited to simple, high-volume automation than client-facing work.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
4.9 Intelligence Index·25.3 Math Index
How LiquidAI: LFM2-8B-A1B compares
LiquidAI: LFM2-8B-A1B ranks #417 of 438 AI models we track for overall intelligence. Its 33K-token context window is larger than 25% of the models we list. At $0.01 per million input tokens it is cheaper than 81% 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 | $0.01 | $0.000010 |
| Output | $0.02 | $0.000020 |
What would LiquidAI: LFM2-8B-A1B 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: LFM2-8B-A1B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout LiquidAI: LFM2-8B-A1B
LFM2-8B-A1B is an efficient on-device Mixture-of-Experts (MoE) model from Liquid AI’s LFM2 family, built for fast, high-quality inference on edge hardware. It uses 8.3B total parameters with only ~1.5B active per token, delivering strong performance while keeping compute and memory usage low—making it ideal for phones, tablets, and laptops.
Frequently asked questions about LiquidAI: LFM2-8B-A1B
How much does LiquidAI: LFM2-8B-A1B cost?
LiquidAI: LFM2-8B-A1B costs $0.01 per million input tokens and $0.02 per million output tokens.
What is the context window of LiquidAI: LFM2-8B-A1B?
LiquidAI: LFM2-8B-A1B has a context window of 32,768 tokens (33K).
Who created LiquidAI: LFM2-8B-A1B?
LiquidAI: LFM2-8B-A1B is developed by LiquidAI and was released on October 20, 2025.