modelgrep

Fastest inclusionAI Models

Quick answer · Updated June 2026

The fastest inclusionAI model is Ling-2.6-flash at 91 output tokens per second. Ring-2.6-1T (73 t/s) and Ling-2.6-1T (57 t/s) round out the top three.

91 t/sSpeed
26.2Intelligence
$0.010Input /M
262KContext

AI models ranked by output speed (tokens per second, p50). The fastest large language models for low-latency and high-throughput applications.

  1. 1I
    ling-2.6-flash
    ToolsJSON26.2 intel · $0.010/M · 816ms ttft
    91 t/s
    Speed
  2. 2I
    ring-2.6-1t
    ReasoningToolsJSON38.5 intel · $0.075/M · 1.9s ttft
    73 t/s
    Speed
  3. 3I
    ling-2.6-1t
    ToolsJSON33.6 intel · $0.075/M · 1.7s ttft
    57 t/s
    Speed

Frequently asked

What is the fastest inclusionAI model?

The fastest inclusionAI model is Ling-2.6-flash at 91 output tokens per second. Ring-2.6-1T (73 t/s) and Ling-2.6-1T (57 t/s) round out the top three.

What's a good alternative to Ling-2.6-flash?

Ring-2.6-1T (73 t/s) is the closest alternative on this metric, followed by Ling-2.6-1T (57 t/s). 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.

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