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 Mistral: Mistral Small 4
Mistral: Mistral Small 4 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Model details →Side-by-side comparison
| Capability | inclusionAI: Ring-2.6-1T | Mistral: Mistral Small 4 | 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 | $0.15 | 🏆 inclusionAI: Ring-2.6-1T |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.63 | $0.60 | 🏆 Mistral: Mistral Small 4 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Mistral: Mistral Small 4 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is inclusionAI: Ring-2.6-1T better than Mistral: Mistral Small 4?
Mistral: Mistral Small 4 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 Mistral: Mistral Small 4?
Input: $0.07 vs $0.15 per 1M tokens. Output: $0.63 vs $0.60 per 1M tokens.
What context windows do inclusionAI: Ring-2.6-1T and Mistral: Mistral Small 4 support?
inclusionAI: Ring-2.6-1T supports up to 262K tokens. Mistral: Mistral Small 4 supports up to 262K tokens.
Do both inclusionAI: Ring-2.6-1T and Mistral: Mistral Small 4 support tool calling?
inclusionAI: Ring-2.6-1T: yes. Mistral: Mistral Small 4: yes.
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