LiquidAI: LFM2-24B-A2B
Analysis Summary
LiquidAI's LFM2-24B-A2B is a sparse mixture-of-experts model activating 2B parameters from a 24B total, priced at $0.03/1M input tokens. It is one of the cheapest models available with any benchmark data. However, the intelligence and coding indices are very low, placing it well below models suitable for complex reasoning, coding, or agentic workflows. The agentic index is also minimal, and there is no vision or tool-use support.
For businesses, this model is limited to the simplest text generation tasks: basic summarisation, classification, or templated content where cost is the overriding concern and quality requirements are low. It is not suitable for coding, multi-step reasoning, or any workflow requiring reliable instruction following.
At $0.03/1M input, the cost advantage is real, but the capability ceiling is low. Teams running very high-volume, low-complexity tasks may find it useful as a pre-filter or triage layer, but it should not be used as a primary model for client-facing or business-critical outputs.
Assessed June 6, 2026
Editorial notes
LiquidAI LFM2-24B-A2B is an ultra-cheap sparse model at $0.03/1M input, but benchmark scores are very limited, with low reasoning and coding performance unsuitable for complex business tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How LiquidAI: LFM2-24B-A2B compares
LiquidAI: LFM2-24B-A2B ranks #305 of 378 AI models we track for overall intelligence, #287 of 315 for coding, #248 of 289 for agentic tasks. Its 128K-token context window is larger than 43% of the models we list. At $0.03 per million input tokens it is cheaper than 76% of comparable models.
About LiquidAI: LFM2-24B-A2B
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does LiquidAI: LFM2-24B-A2B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
liquid/lfm-2-24b-a2b
|
| Provider | liquid |
| Release Date | February 25, 2026 |
| Context Length | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.12 | $0.000120 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Explore Related Models
Frequently asked questions about LiquidAI: LFM2-24B-A2B
How much does LiquidAI: LFM2-24B-A2B cost?
LiquidAI: LFM2-24B-A2B costs $0.03 per million input tokens and $0.12 per million output tokens.
What is the context window of LiquidAI: LFM2-24B-A2B?
LiquidAI: LFM2-24B-A2B has a context window of 128,000 tokens (128K).
Is LiquidAI: LFM2-24B-A2B good for coding?
On our coding benchmark index, LiquidAI: LFM2-24B-A2B ranks #287 of 315 models, placing it in the broader range of the field for code generation and debugging.
Who created LiquidAI: LFM2-24B-A2B?
LiquidAI: LFM2-24B-A2B is developed by LiquidAI and was released on February 25, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm