Models
Comparison
Llama 3.2 1B vs Qwen3-VL 4B
Llama 3.2 1B and Qwen3-VL 4B side by side on Silicon Network: context length, capabilities, parameters, and the per-token price of each.
| Llama 3.2 1B | Qwen3-VL 4B | |
|---|---|---|
| API model id | llama-3.2-1b | qwen3-vl-4b |
| Base model | Llama 3.2 1B | Qwen3-VL 4B |
| Family | Llama | Qwen |
| Parameters | 1B | 4B |
| Size class | Small (under 6B) | Small (under 6B) |
| Context length | 131,072 tokens (128K) | 262,144 tokens (256K) |
| Capabilities | Text | Text, Reasoning, and Image input |
| Served weights | 4-bit | 4-bit |
| Weights size | 0.73 GB | 3.34 GB |
| Input price | Unavailable | Unavailable |
| Output price | Unavailable | Unavailable |
The published rates could not be loaded just now. The pricing page reads them live.
Differences
- Qwen3-VL 4B has the longer context window: 262,144 tokens against 131,072.
- Qwen3-VL 4B is the larger model by total parameters: 4B against 1B.
- Reasoning and Image input: Qwen3-VL 4B only.
Whether a model is loaded on a node right now changes through the day; the pricing page shows it live. A model that is not loaded answers 404 until an operator loads it.
About these figures
Context length, capabilities, and weights size come from the model card each id is served with. Rates are the published per-token prices, refreshed every few minutes. There are no speed figures here: the network does not publish per-model throughput yet.
Silicon Network›Models›Llama 3.2 1B vs Qwen3-VL 4B13 items