LiquidAI: LFM2-2.6B
Analysis Summary
LFM2-2.6B is LiquidAI's smallest model, a 2.6 billion parameter option priced at $0.01 input and $0.02 output per million tokens. Its intelligence index of 8 and coding index of 1.4 reflect the fundamental constraints of its size, with benchmark scores across reasoning, math, and coding that are among the lowest in the field. The 32K context window is also restrictive.
For businesses, practical use cases are narrow: very simple classification, keyword extraction, or short-form generation at extreme scale where cost is the only consideration. It is not suited to instruction-following tasks, agentic workflows, coding, or any task requiring sustained reasoning.
At its price point it competes primarily on cost rather than capability. Teams should treat it as a specialist low-cost inference option for the simplest possible tasks, and should not expect reliable performance on anything requiring language understanding beyond a basic level.
Assessed June 6, 2026
Editorial notes
LiquidAI LFM2-2.6B is a very small, ultra-cheap model at $0.01 input per million tokens, with minimal reasoning and coding capability suited only to the most basic text tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How LiquidAI: LFM2-2.6B compares
LiquidAI: LFM2-2.6B ranks #349 of 377 AI models we track for overall intelligence, #299 of 314 for coding, #275 of 289 for agentic tasks. Its 33K-token context window is larger than 32% of the models we list. At $0.01 per million input tokens it is cheaper than 78% of comparable models.
About 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.
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does LiquidAI: LFM2-2.6B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
liquid/lfm-2.2-6b
|
| Provider | liquid |
| Release Date | October 20, 2025 |
| Context Length | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.01 | $0.000010 |
| Output | $0.02 | $0.000020 |
External Resources
Explore Related Models
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).
Is LiquidAI: LFM2-2.6B good for coding?
On our coding benchmark index, LiquidAI: LFM2-2.6B ranks #299 of 314 models, placing it in the broader range of the field for code generation and debugging.
Who created LiquidAI: LFM2-2.6B?
LiquidAI: LFM2-2.6B is developed by LiquidAI and was released on October 20, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 9, 2026 9:57 pm