inclusionAI/Ling-mini-2.0
SiliconFlow
•
ling-mini-2-0
Model Information
| Slug |
ling-mini-2-0
|
|---|---|
| Aliases | ling-mini-2-0 lingmini20 |
Organization
| Name | SiliconFlow |
|---|
Ling-mini-2.0 is an open-source Mixture-of-Experts (MoE) large language model designed to balance strong task performance with high inference efficiency. It has 16B total parameters, with approximately 1.4B activated per token (about 789M non-embedding). Trained on over 20T tokens and refined via multi-stage supervised fine-tuning and reinforcement learning, it is reported to deliver strong results in complex reasoning and instruction following while keeping computational costs low. According to the upstream release, it reaches top-tier performance among sub-10B dense LLMs and in some cases matches or surpasses larger MoE models.
Available at 4 Providers
| Provider | Model Name | Original Model | Input ($/1M) | Output ($/1M) | Free | ||
|---|---|---|---|---|---|---|---|
|
AIHubMix | Ling-mini-2.0 |
inclusionAI/Ling-mini-2.0
|
$0.07 | $0.27 | ||
|
SiliconFlow (China) | inclusionAI/Ling-mini-2.0 |
inclusionAI/Ling-mini-2.0
|
$0.07 | $0.28 | Visit | |
|
SiliconFlow | inclusionAI/Ling-mini-2.0 |
inclusionAI/Ling-mini-2.0
|
$0.07 | $0.28 | Visit | |
|
ZenMUX | inclusionAI: Ling-mini-2.0 |
inclusionai/ling-mini-2.0
|
$0.07 | $0.28 | Visit |