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Best LiquidAI Models for Coding

Quick answer · Updated June 2026

LFM2-24B-A2B is the best LiquidAI model for coding, with a 3.6 Artificial Analysis Coding Index across benchmarks like SWE-bench and SciCode. LFM2.5-1.2B-Thinking (free) (1.4) and LFM2.5-1.2B-Instruct (free) (0.8) round out the top three.

3.6Coding
10.5Intelligence
57 t/sSpeed
$0.030Input /M
128KContext

AI models ranked by the Artificial Analysis Coding Index, measuring real-world software engineering ability across benchmarks like SWE-bench, SciCode and terminal tasks. The best LLMs for code generation, debugging and agentic development.

  1. 1L
    lfm-2-24b-a2b
    10.5 intel · $0.030/M · 57 t/s
    3.6
    Coding
  2. 2L
    lfm-2.5-1.2b-thinking:free
    Reasoning8.1 intel · Free/M · 106 t/s
    1.4
    Coding
  3. 3L
    lfm-2.5-1.2b-instruct:free
    8.0 intel · Free/M · 66 t/s
    0.8
    Coding

Frequently asked

What is the best LiquidAI model for coding?

LFM2-24B-A2B is the best LiquidAI model for coding, with a 3.6 Artificial Analysis Coding Index across benchmarks like SWE-bench and SciCode. LFM2.5-1.2B-Thinking (free) (1.4) and LFM2.5-1.2B-Instruct (free) (0.8) round out the top three.

What's a good alternative to LFM2-24B-A2B?

LFM2.5-1.2B-Thinking (free) (1.4) is the closest alternative on this metric, followed by LFM2.5-1.2B-Instruct (free) (0.8). See the full ranking above for the tradeoffs.

How many LiquidAI models are there?

modelgrep tracks 3 LiquidAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by LFM2-24B-A2B. 3 of them qualify for this ranking.

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