inclusionai

inclusionAI: Ring-2.6-1T

Ring-2.6-1T is a text-only model from inclusionAI with a 262,144-token context window and a 65,536-token output limit. It supports tool use and reasoning, which makes it usable for multi-step workflows and agentic pipelines. Structured output support is unconfirmed, so developers who depend on that capability should verify independently before building against it. On price, the model sits at $0.075 per million input tokens and $0.625 per million output tokens, placing it toward the budget end for output costs. Its blended benchmark score of 50.2 across only three benchmarks is modest and should be treated as preliminary; coding tasks scored notably higher at 70.7, while agentic performance came in at 31.1. Teams doing code-heavy work on a limited budget have the clearest reason to shortlist it, but anyone evaluating general or agentic use cases should weigh the thin benchmark coverage carefully.

Quality Score
99/100
price + capability + benchmarks
Input Price
$0.07
per 1M tokens
Output Price
$0.62
per 1M tokens
Context Window
262,144
tokens
Model ID
inclusionai/ring-2.6-1t
Vendor
inclusionai
Tokenizer
Other
Input Modalities
text
Output Modalities
text
Max Output
65,536 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
text only
Audio
no
Moderated
no

Category rankings

Where inclusionAI: Ring-2.6-1T places across the 9 categories it ranks in. How we rank →

#CategoryScore
#17 Dataset AnnotationResearch · of 25 ranked 141
#18 JSON ExtractionData · of 25 ranked 143
#18 Bulk Data LabelingData · of 25 ranked 133
#18 Customer SupportBusiness · of 25 ranked 131
#20 Short-Form SummarizationWriting · of 25 ranked 128
#20 Chat CompanionPersonal · of 25 ranked 128
#21 Email DraftingWriting · of 25 ranked 124
#21 Language LearningEducation · of 25 ranked 124
#21 Trivia & General KnowledgePersonal · of 25 ranked 118

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