Ant Group lab behind Ling and Ring long-context models. inclusionAI’s coding models on Kilo Code include Ling-2.6-1T, Ling-2.6-1T (free), Ling-2.6-flash (free), and Ring-2.6-1T (free). Use them across VS Code, JetBrains IDEs, Cursor, Windsurf, Trae, and the Kilo CLI — with pay-as-you-go pricing and no markup over the underlying provider rates.
Sorted by coding-index where published. Click any model for the full review with benchmarks, real-world Kilo usage, and provider-specific pricing.
inclusionAI
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...
inclusionAI
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...
inclusionAI
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....
inclusionAI
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...
inclusionAI is Ant Group’s AI lab, with Ling and Ring models designed around efficient long-context reasoning, multilingual use, and high-throughput production workloads. Its coding models are interesting when you want frontier-scale context and fast hosted inference without defaulting to the largest Western labs.
Pay-as-you-go, no markup over the underlying provider rates. Cheapest first.
| Model | Input / 1M | Output / 1M | Context | Coding index |
|---|---|---|---|---|
| inclusionAI: Ling-2.6-1T (free) | Free | Free | 262K | — |
| inclusionAI: Ling-2.6-flash (free) | Free | Free | 262K | — |
| inclusionAI: Ring-2.6-1T (free) | Free | Free | 262K | — |
| inclusionAI: Ling-2.6-1T | $0.300 | $2.50 | 262K | — |
Two ways: hosted in Kilo with no setup, or through your own provider keys.
The fastest path: install Kilo Code, sign in, pick inclusionai from the model picker. No API keys, no markup. Works in VS Code, JetBrains, Cursor, Windsurf, Trae, and the Kilo CLI.
See live model leaderboard →Already have an account with inclusionAI, OpenRouter, AWS Bedrock, Google Vertex, Together AI, or another compatible provider? Plug your key into Kilo Code and keep your existing billing relationship.
BYOK setup guide →See coding-model lineups from inclusionAI’s closest competitors.
inclusionAI’s flagship is among the strongest coding models on the Kilo Code leaderboard, ranked by Code, Plan, Ask, Debug, and Review usage.
VS Code, Cursor, Windsurf, Trae, JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, RubyMine, Android Studio), and the Kilo CLI / terminal.
Switch between inclusionAI and 500+ other models with one click. Pay only for what you use, at the underlying provider rate.
The strongest inclusionAI model is typically the highest-ranked Ling or Ring release in the lab table. Choose flash variants when latency and free hosted access matter most.
inclusionAI models work in VS Code, Cursor, Windsurf, Trae, JetBrains IDEs, and the Kilo CLI.
Some inclusionAI models are available as free hosted options, while paid variants use provider token rates shown in Kilo Code with no markup.
Most inclusionAI models surfaced in Kilo Code are hosted API models rather than downloadable local weights.
Ling models tend to emphasize broad reasoning and coding capability, while Ring variants focus on efficient high-throughput workflows. Flash variants trade some capability for speed and cost.
inclusionAI models work in VS Code, Cursor, Windsurf, Trae, JetBrains IDEs, and the Kilo CLI.
Install Kilo Code and get instant access to inclusionAI: Ling-2.6-1T and 3 other inclusionAI models, plus 500+ frontier and open-source options. Free to start, no credit card required.