inclusionAI: Ling-2.6-1T
inclusionai's mid-tier model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Ling-2.6-1T is a high-performance model optimized for complex reasoning and strict formatting. Its primary technical advantage lies in its perfect scores for structured output, strategic analysis, and agentic planning, making it highly reliable for workflows that require precise JSON schema adherence or multi-step logical orchestration.
The model offers an aggressive price-to-performance ratio. With a blended cost of $0.487/MTok and a ranking of 32nd out of 130 models, it provides top-tier intelligence at a fraction of the cost of flagship proprietary models. The 262K context window is sufficient for most RAG applications, though its 4/5 long-context score suggests some degradation at the extreme upper limit of its window.
Performance is inconsistent in narrow linguistic tasks. While it excels at multilingual output and persona consistency, it struggles with constrained rewriting, where it scores 3/5. This indicates a weakness in following rigid character or word-count limitations compared to its strength in high-level strategic tasks.
Use this model for autonomous agents, complex data structuring, and multilingual strategic analysis. Skip this model if your primary use case requires strict adherence to negative constraints or precise character-level rewriting.
Strengths — Top 3
Relative weaknesses — Bottom 3
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