inclusionAI
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
63B
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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3.5K
Downloads
88
Likes
May 2026
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Ring-2.6-1T Benchmark Update
Quality: 38.5/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.424%
View sourceRing-2.6-1T Benchmark Update
Quality: 38.5/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.424%
View source