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.
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.
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.
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.
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.