LiquidAI: LFM2-8B-A1B
Analysis Summary
LFM2-8B-A1B is a compact model from LiquidAI, priced at $0.01 input and $0.02 output per million tokens, making it one of the cheapest available options with benchmark data. Its intelligence index of 7 and coding index of 2.3 place it firmly in the limited-capability tier, with a 32K context window that restricts long-document use.
For businesses, it is appropriate only for the simplest, highest-volume tasks: basic classification, short-form text generation, or lightweight extraction where cost is the overriding constraint. Reasoning, coding, and agentic performance are all very limited, and the small context window further restricts its applicability.
At this price point it is essentially a commodity inference option. Teams with high-volume, low-complexity workloads may find it useful as a pre-processing or triage layer, but it should not be used as a primary model for any task requiring reliable reasoning, instruction following, or multi-step logic.
Assessed June 6, 2026
Editorial notes
LiquidAI LFM2-8B-A1B is an ultra-cheap small model at $0.01 input per million tokens, with limited reasoning and coding capability suited only to the simplest automation tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How LiquidAI: LFM2-8B-A1B compares
LiquidAI: LFM2-8B-A1B ranks #363 of 377 AI models we track for overall intelligence, #296 of 314 for coding, #254 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: LFM2-8B-A1B
LFM2-8B-A1B is an efficient on-device Mixture-of-Experts (MoE) model from Liquid AIās 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 lowāmaking it ideal for phones, tablets, and laptops.
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does LiquidAI: LFM2-8B-A1B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
liquid/lfm2-8b-a1b
|
| 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: LFM2-8B-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).
Is LiquidAI: LFM2-8B-A1B good for coding?
On our coding benchmark index, LiquidAI: LFM2-8B-A1B ranks #296 of 314 models, placing it in the broader range of the field for code generation and debugging.
Who created LiquidAI: LFM2-8B-A1B?
LiquidAI: LFM2-8B-A1B 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