LiquidAI: LFM2-2.6B
Analysis Summary
LiquidAI's LFM2-2.6B is a compact text model with a 32K context window and very low listed input and output prices. Its benchmark results indicate limited reasoning, coding, and instruction-following capability. The small footprint and price may still make it useful where the task is narrow and the cost of an imperfect response is low.
Potential workloads include simple text classification, basic routing, or first-pass transformations with clear templates. It is not a preferred choice for client-facing long-form writing, complex analysis, or coding workflows, and its outputs should be validated before they trigger consequential actions. No tool-use or vision capability is listed in the supplied data.
Treat this as a budget option for tightly controlled, high-volume experiments. Teams should test against their own examples and route anything requiring nuanced language or reliable reasoning to a stronger model.
Assessed September 23, 2026
Editorial notes
LFM2-2.6B offers exceptionally low listed pricing for short, routine text tasks, but its measured reasoning, coding, and instruction-following results are limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
LFM2-2.6B offers exceptionally low listed pricing for short, routine text tasks, but its measured reasoning, coding, and instruction-following results are limited.
Benchmarks
Artificial Analysis data refreshed Oct 22, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for LiquidAI: LFM2-2.6B yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How LiquidAI: LFM2-2.6B compares
LiquidAI: LFM2-2.6B ranks #402 of 442 AI models we track for overall intelligence. Its 33K-token context window is larger than 26% of the models we list. At $0.01 per million input tokens it is cheaper than 78% 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.
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.