Approved models
12
Records published from this collection
Provider information
lab
Review approach
Verify each model’s source, terms, capabilities, and current availability
inclusionAI publishes the Ling language and reasoning models, Ring reasoning checkpoints, and Ming multimodal models. Its public repositories cover local inference, distributed serving, image design and audio or visual understanding. Compare each release’s model card and licence: a downloadable checkpoint, a hosted route and a specialized design model have different interfaces and operating requirements.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| Ling 3.1 Flash inclusionAI | 51.3 | 262.14K | — | — | — |
| Ling 3.0 Flash VL inclusionAI | 41.8 | 131.07K | — | — | — |
| Ling 3.0 Flash Sante inclusionAI | — | 262.14K | — | — | — |
| Ling 3.0 Flash Fin inclusionAI | 35.2 | 262.14K | — | — | — |
| Ling 3.0 Flash inclusionAI | 35.2 | 262.14K | — | — | — |
| Ling 2.6 1T inclusionAI | 20.2 | 262.14K | — | — | — |
| Ling 2.6 Flash inclusionAI | 16.8 | 131.07K | — | — | — |
| Ling 3.0 Tiny inclusionAI | 31.8 | 131.07K | — | — | — |
| Ming Flash Omni 2.0 inclusionAI | 20.0 | — | — | — | — |
| Ming Image 0.1 Design inclusionAI | 5.0 | — | — | — | — |
| Ming Image 0.1 Design Layer inclusionAI | 10.0 | — | — | — | — |
| Ring 2.6 1T inclusionAI | 31.8 | 131.07K | — | — | — |
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About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.