Comparisons of Tiny Open Source AI Models (<4B)
Open source AI models with 4 billion parameters or fewer. These are usually the smallest models in terms of resource demand. Models are considered Open Source (also commonly referred to as open weights) where their weights are accessible to download. This allows self-hosting on your own infrastructure and enables customizing the model such as through fine-tuning. Click on any model to see detailed metrics. For more details including relating to our methodology, see our FAQs.
Qwen3 4B 2507 and Qwen3 4B 2507 are the highest intelligence Tiny open source models, defined as those with <4B parameters, followed by 
Exaone 4.0 1.2B & Exaone 4.0 1.2B.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Estimate (independent evaluation forthcoming)
Total Parameters
Trainable parameters in billions
Further details
| Weights | Provider Benchmarks | |||||||
|---|---|---|---|---|---|---|---|---|
Qwen3 4B 2507 (Reasoning) Alibaba | 43 | 4.02B | 262k | - | - | 🤗 | - | View |
Qwen3 4B 2507 Instruct Alibaba | 30 | 4.02B | 262k | - | - | 🤗 | - | View |
Exaone 4.0 1.2B (Reasoning) LG AI Research | 27 | 1.28B | 64.0k | - | - | 🤗 | - | View |
Exaone 4.0 1.2B (Non-reasoning) LG AI Research | 20 | 1.28B | 64.0k | - | - | 🤗 | - | View |
 Granite 4.0 Micro IBM | 16 | 3B | 128k | - | - | Not available | - | View |
 Gemma 3 4B Instruct Google | 15 | 4.3B | 128k | - | 52 | 🤗 |  | View |
 LFM2 2.6B Liquid AI | 12 | 2.57B | 32.8k | - | - | 🤗 | - | View |
LFM2 1.2B Liquid AI | 8 | 1.17B | 32.8k | - | - | 🤗 | ? | View |
Gemma 3 1B Instruct Google | 6 | 1B | 32.0k | - | - | 🤗 | ? | View |