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...
Model details →inclusionAI: Ring-2.6-1T vs Qwen: Qwen3.5-27B
inclusionAI: Ring-2.6-1T wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Model details →Side-by-side comparison
| Capability | inclusionAI: Ring-2.6-1T | Qwen: Qwen3.5-27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.20 | 🏆 inclusionAI: Ring-2.6-1T |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.63 | $1.56 | 🏆 inclusionAI: Ring-2.6-1T |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen3.5-27B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is inclusionAI: Ring-2.6-1T better than Qwen: Qwen3.5-27B?
inclusionAI: Ring-2.6-1T wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between inclusionAI: Ring-2.6-1T and Qwen: Qwen3.5-27B?
Input: $0.07 vs $0.20 per 1M tokens. Output: $0.63 vs $1.56 per 1M tokens.
What context windows do inclusionAI: Ring-2.6-1T and Qwen: Qwen3.5-27B support?
inclusionAI: Ring-2.6-1T supports up to 262K tokens. Qwen: Qwen3.5-27B supports up to 262K tokens.
Do both inclusionAI: Ring-2.6-1T and Qwen: Qwen3.5-27B support tool calling?
inclusionAI: Ring-2.6-1T: yes. Qwen: Qwen3.5-27B: yes.
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