Best inclusionAI Models for Coding

Quick answer · Updated June 2026

Ring-2.6-1T is the best inclusionAI model for coding, with a 33.3 Artificial Analysis Coding Index across benchmarks like SWE-bench and SciCode. Ling-2.6-1T (33.1) and Ling-2.6-flash (23.2) round out the top three.

33.3Coding

38.5Intelligence

73 t/sSpeed

$0.075Input /M

262KContext

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.

Frequently asked

What is the best inclusionAI model for coding?

What's a good alternative to Ring-2.6-1T?

Ling-2.6-1T (33.1) is the closest alternative on this metric, followed by Ling-2.6-flash (23.2). See the full ranking above for the tradeoffs.

How many inclusionAI models are there?

modelgrep tracks 3 inclusionAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Ring-2.6-1T. 3 of them qualify for this ranking.

More inclusionAI rankings

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All rankings

Small & Fast LLMs Smartest LLMs Best LLMs for Design & Frontend Fastest LLMs Lowest-Latency LLMs Cheapest LLMs Best Free LLMs Best Reasoning LLMs Best Vision LLMs Best LLMs for Agents Best Open-Source LLMs Longest-Context LLMs