inclusionAI: Ling-2.6-1T
Analysis Summary
inclusionAI Ling-2.6-1T is a cost-efficient model with an intelligence index of 33.6 and a standout agentic index of 60.4, one of the stronger agentic scores in its price tier. Tool use and function calling are supported across a 262K token context window, and instruction-following (IFBench 0.569) and tau2 (0.898) scores indicate reliable task completion.
For businesses, the model's agentic strength makes it well-suited to multi-step automation, structured-output generation, and tool-orchestration pipelines. At $0.075 input and $0.625 output per million tokens, it offers strong value for agentic workloads. Coding capability at 33.1 is moderate, so it is less suited to software engineering tasks.
Teams running high-volume agentic workflows on a budget should consider Ling-2.6-1T as a cost-effective option. For reasoning-intensive or coding-heavy tasks, models with higher intelligence and coding indices would be more appropriate.
Assessed June 6, 2026
Editorial notes
inclusionAI Ling-2.6-1T pairs a strong agentic index of 60.4 with competitive pricing and tool use support, though coding capability is moderate at 33.1.
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 #87 of 378 AI models we track for overall intelligence, #80 of 315 for coding, #54 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: 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
Performance Indices
Source: Artificial Analysis
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).
Is inclusionAI: Ling-2.6-1T good for coding?
On our coding benchmark index, inclusionAI: Ling-2.6-1T ranks #80 of 315 models, placing it in the broader range of the field for code generation and debugging.
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.
