inclusionAI: Ling-2.6-1T
Analysis Summary
Ling-2.6-1T is a large-scale model from inclusionAI with a 26.1 intelligence index, placing it in the lower-mid capability tier. Its agentic index of 60.4 is a relative strength, suggesting it can handle structured tool-use and function-calling workflows reasonably well. The 262K context window is adequate for most business document tasks.
For businesses, this model is best positioned for high-volume, cost-sensitive automation where reasoning complexity is low to moderate. Instruction-following scores are moderate, and long-context reasoning is limited, so it is not suited to complex analysis or client-facing content where quality is critical. Vision is not supported.
At $0.075 input and $0.625 output per million tokens, it is affordable. Teams running bulk structured tasks, data extraction, or lightweight agent workflows will find strong value, but should step up to a higher-capability model for anything requiring reliable reasoning or nuanced output.
Assessed June 30, 2026
Editorial notes
Ling-2.6-1T from inclusionAI has a 26.1 intelligence index and 60.4 agentic score with tool use and function calling at very low pricing, suited to cost-sensitive automation workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How inclusionAI: Ling-2.6-1T compares
InclusionAI: Ling-2.6-1T ranks #98 of 385 AI models we track for overall intelligence, #60 of 293 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 70% of comparable models.
About inclusionAI: Ling-2.6-1T
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the companyās trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a āfast..
Capabilities
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does inclusionAI: Ling-2.6-1T stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
inclusionai/ling-2.6-1t
|
| Provider | inclusionai |
| Release Date | April 23, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 32,768 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.
Leaderboard Categories
External Resources
Frequently asked questions about inclusionAI: Ling-2.6-1T
How much does inclusionAI: Ling-2.6-1T cost?
inclusionAI: Ling-2.6-1T costs $0.08 per million input tokens and $0.63 per million output tokens.
What is the context window of inclusionAI: Ling-2.6-1T?
inclusionAI: Ling-2.6-1T has a context window of 262,144 tokens (262K).
What can inclusionAI: Ling-2.6-1T do?
inclusionAI: Ling-2.6-1T supports tool use and function calling.
Who created inclusionAI: Ling-2.6-1T?
inclusionAI: Ling-2.6-1T is developed by inclusionAI and was released on April 23, 2026.
