inclusionai

inclusionAI: Ring-2.6-1T

InclusionAI: Ring-2.6-1T is designed to handle text inputs within an expansive context length of 262,144 tokens and supports reasoning and tools integration, making it suitable for complex tasks that require both depth and flexibility. It can process and reason through large volumes of textual data efficiently. While this model performs adequately across benchmarks with a blended score of 58.8 from two independent sources, its price point might be a consideration; at $0.075 per million input tokens and $0.625 for outputs, it could be more expensive than some alternatives depending on usage volume. Nonetheless, businesses or projects that need robust text processing capabilities and can afford the costs may find Ring-2.6-1T to be a reliable choice.

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

Benchmark results

Independent, published benchmarks. Blended score 58.8 across 2 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 51.6
AI Index Coding software engineering tasks 70.7
Model ID
inclusionai/ring-2.6-1t
Vendor
inclusionai
Released
May 2026
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

What it costs in practice

Computed from the current $0.07/M input and $0.62/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.07
A month of a busy support chatbot 5M in / 2M out $1.62

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Quick answers

How much does inclusionAI: Ring-2.6-1T cost?
$0.07 per million input tokens and $0.62 per million output tokens.
What is inclusionAI: Ring-2.6-1T's context window?
262,144 tokens, roughly 393 pages of text in a single request.
Does inclusionAI: Ring-2.6-1T support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can inclusionAI: Ring-2.6-1T process images?
No, it is text-only on the input side.