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...
Model details →inclusionAI: Ling-2.6-1T vs Mistral: Mistral Small 3.2 24B
inclusionAI: Ling-2.6-1T and Mistral: Mistral Small 3.2 24B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves acc…
Model details →Side-by-side comparison
| Capability | inclusionAI: Ling-2.6-1T | Mistral: Mistral Small 3.2 24B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 256K | 🏆 inclusionAI: Ling-2.6-1T |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.09 | 🏆 inclusionAI: Ling-2.6-1T |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.63 | $0.25 | 🏆 Mistral: Mistral Small 3.2 24B |
| 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 3.2 24B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is inclusionAI: Ling-2.6-1T better than Mistral: Mistral Small 3.2 24B?
inclusionAI: Ling-2.6-1T and Mistral: Mistral Small 3.2 24B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between inclusionAI: Ling-2.6-1T and Mistral: Mistral Small 3.2 24B?
Input: $0.07 vs $0.09 per 1M tokens. Output: $0.63 vs $0.25 per 1M tokens.
What context windows do inclusionAI: Ling-2.6-1T and Mistral: Mistral Small 3.2 24B support?
inclusionAI: Ling-2.6-1T supports up to 262K tokens. Mistral: Mistral Small 3.2 24B supports up to 256K tokens.
Do both inclusionAI: Ling-2.6-1T and Mistral: Mistral Small 3.2 24B support tool calling?
inclusionAI: Ling-2.6-1T: yes. Mistral: Mistral Small 3.2 24B: yes.
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