Analysis Summary
Ling-2.6-1T is a large inclusionAI model focused on agentic workflows, with strong measured tool interaction and function-calling results. It provides a 262K-token context window and useful coding performance, while its general intelligence and long-context results are more moderate than its agentic profile. The supplied modality is text only.
Free access makes it attractive for high-volume routing, retrieval-driven tasks, workflow orchestration, and supervised operational agents. It can also support code maintenance and structured extraction when the surrounding system validates actions. For complex analysis, polished client-facing writing, or situations where reasoning depth is critical, pair it with a stronger model rather than using it as the sole decision-maker.
Assessed September 7, 2026
Editorial notes
Ling-2.6-1T combines strong agentic and tool-use results with a 262K-token context window and free access. Its moderate general intelligence and coding capability suit high-volume automation, but complex reasoning and premium content work need a stronger model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ling-2.6-1T combines strong agentic and tool-use results with a 262K-token context window and free access. Its moderate general intelligence and coding capability suit high-volume automation, but complex reasoning and premium content work need a stronger model.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
19.6 Intelligence Index·33 Coding Index·60.5 Agentic Index
How inclusionAI: Ling-2.6-1T (free) compares
InclusionAI: Ling-2.6-1T (free) ranks #150 of 435 AI models we track for overall intelligence, #113 of 208 for coding, #3 of 190 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. inclusionAI: Ling-2.6-1T (free) is currently free to use via OpenRouter.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →About inclusionAI: Ling-2.6-1T (free)
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast..
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Frequently asked questions about inclusionAI: Ling-2.6-1T (free)
How much does inclusionAI: Ling-2.6-1T (free) cost?
inclusionAI: Ling-2.6-1T (free) is currently available for free via OpenRouter.
What is the context window of inclusionAI: Ling-2.6-1T (free)?
inclusionAI: Ling-2.6-1T (free) has a context window of 262,144 tokens (262K).
Is inclusionAI: Ling-2.6-1T (free) good for coding?
On our coding benchmark index, inclusionAI: Ling-2.6-1T (free) ranks #113 of 208 models, placing it in the broader range of the field for code generation and debugging.
What can inclusionAI: Ling-2.6-1T (free) do?
inclusionAI: Ling-2.6-1T (free) supports tool use and function calling.
Who created inclusionAI: Ling-2.6-1T (free)?
inclusionAI: Ling-2.6-1T (free) is developed by inclusionAI and was released on April 23, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 7, 2026 8:38 pm