Model Library
InclusionAIReleased September 9, 2025Ling-mini-2.0
InclusionAI · Released September 9, 2025
Intelligence score
4
At a glance
- Intelligence
- 4
- Speed
- —
- Latency
- —
- Input price
- Not published
- Output price
- Not published
- Context window
- 130Ktokens
- Parameters
- 16.3billions
Summary
Comparison summary
Ling-mini-2.0 scores 4 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 6).
Specifications
Technical specifications
| Model name | Ling-mini-2.0 |
|---|---|
| Provider | InclusionAI |
| Release date | September 9, 2025 |
| Intelligence score | 4 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | Not published |
| Output price | Not published |
| Context window | 130,000 tokens |
| Parameters | 16.3B |
| Reasoning | No |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: ling-mini-2-0 |
FAQ · 16
Frequently asked questions
Ling-mini-2.0 was released on September 9, 2025.
Ling-mini-2.0 was created by InclusionAI.
Ling-mini-2.0 scores 4 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 6).
No, Ling-mini-2.0 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Ling-mini-2.0 supports text input.
Ling-mini-2.0 supports text output.
No, Ling-mini-2.0 does not support image input. It can only process text.
No, Ling-mini-2.0 is not multimodal. It only supports text input.
Ling-mini-2.0 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ling-mini-2.0 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Ling-mini-2.0 has 16.3 billion parameters (1.4 billion active).
Ling-mini-2.0 is a Mixture of Experts (MoE) model with 16.3 billion total parameters, but only 1.4 billion active parameters are used during inference.
Ling-mini-2.0 is released under the MIT license. This license allows commercial use.
Ling-mini-2.0 achieves a score of 4 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Ling-mini-2.0 is an open weights model that can be self-hosted.
Ling-mini-2.0 is an open weights model that can be downloaded and self-hosted.