LiquidAI: LFM2-2.6B
Analysis Summary
LiquidAI's LFM2-2.6B is a small text-only model intended for economical inference. It has a 32K context window and benchmark coverage across reasoning, mathematics, coding, instruction following, and tool-oriented tasks, but the measured results show limited capability, particularly for complex problem solving and code generation.
This model can support basic classification, tagging, structured extraction, short templated replies, and traffic routing. Its low pricing makes it useful for high-volume operations where outputs are constrained and easy to verify. It is not well suited to open-ended content production, multi-step agents, software engineering, or document-heavy analysis.
Use it only where deterministic prompts, validation rules, and escalation paths are available. For client-facing writing or more complex automation, a stronger model will reduce correction and supervision costs.
Assessed September 7, 2026
Editorial notes
LFM2-2.6B is a very low-cost compact model with a 32K context window, suitable for simple routing and text automation. Its limited reasoning, coding, and instruction-following results restrict it to tightly controlled workflows.
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DFO Verdict
LFM2-2.6B is a very low-cost compact model with a 32K context window, suitable for simple routing and text automation. Its limited reasoning, coding, and instruction-following results restrict it to tightly controlled workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
5.2 Intelligence Index·8.3 Math Index
How LiquidAI: LFM2-2.6B compares
LiquidAI: LFM2-2.6B ranks #401 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: LFM2-2.6B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save LiquidAI: LFM2-2.6B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout LiquidAI: LFM2-2.6B
LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.
Frequently asked questions about LiquidAI: LFM2-2.6B
How much does LiquidAI: LFM2-2.6B cost?
LiquidAI: LFM2-2.6B costs $0.01 per million input tokens and $0.02 per million output tokens.
What is the context window of LiquidAI: LFM2-2.6B?
LiquidAI: LFM2-2.6B has a context window of 32,768 tokens (33K).
Who created LiquidAI: LFM2-2.6B?
LiquidAI: LFM2-2.6B is developed by LiquidAI and was released on October 20, 2025.