inclusionAI: Ring-2.6-1T
Analysis Summary
inclusionAI Ring-2.6-1T is a large-scale model from inclusionAI with an intelligence index of 38.5, placing it in the very strong tier. Its agentic index of 60.6 is a standout for its price point, and tool use and function calling are both supported. The 262K token context window is adequate for most enterprise document tasks, and the tau2 score of 0.924 indicates reliable structured task completion.
For businesses, this model is best positioned for agentic automation, structured data processing, and cost-sensitive pipelines where near-frontier reasoning is sufficient. Its coding index of 33.3 limits its appeal for software engineering, and instruction following (ifbench 0.45) is below the top tier, which may affect precision in content generation tasks. Long-context reasoning (lcr 0.64) is reasonable.
At $0.075 input and $0.625 output per million tokens, Ring-2.6-1T is among the most cost-efficient models with genuine agentic capability. Teams running high-volume agentic workflows on tight budgets should evaluate it seriously, with the caveat that output quality should be validated against specific use cases before production deployment.
Assessed June 6, 2026
Editorial notes
inclusionAI Ring-2.6-1T offers strong agentic performance and very strong reasoning at an exceptionally low price of $0.075 per million input tokens, with tool use and function calling support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How inclusionAI: Ring-2.6-1T compares
InclusionAI: Ring-2.6-1T ranks #68 of 378 AI models we track for overall intelligence, #79 of 315 for coding, #52 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
About inclusionAI: Ring-2.6-1T
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does inclusionAI: Ring-2.6-1T stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
inclusionai/ring-2.6-1t
|
| Provider | inclusionai |
| Release Date | May 8, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000075 |
| Output | $0.63 | $0.000625 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
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Frequently asked questions about inclusionAI: Ring-2.6-1T
How much does inclusionAI: Ring-2.6-1T cost?
inclusionAI: Ring-2.6-1T costs $0.08 per million input tokens and $0.63 per million output tokens.
What is the context window of inclusionAI: Ring-2.6-1T?
inclusionAI: Ring-2.6-1T has a context window of 262,144 tokens (262K).
Is inclusionAI: Ring-2.6-1T good for coding?
On our coding benchmark index, inclusionAI: Ring-2.6-1T ranks #79 of 315 models, placing it in the top quartile of the field for code generation and debugging.
What can inclusionAI: Ring-2.6-1T do?
inclusionAI: Ring-2.6-1T supports tool use and function calling.
Who created inclusionAI: Ring-2.6-1T?
inclusionAI: Ring-2.6-1T is developed by inclusionAI and was released on May 8, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm