Models
Comparison
Llama 3.1 70B vs Llama 3.3 70B
Llama 3.1 70B and Llama 3.3 70B side by side on Silicon Network: context length, capabilities, parameters, and the per-token price of each.
| Llama 3.1 70B | Llama 3.3 70B | |
|---|---|---|
| API model id | llama-3.1-70b | llama-3.3-70b |
| Base model | Llama 3.1 70B | Llama 3.3 70B |
| Family | Llama | Llama |
| Parameters | 70B | 70B |
| Size class | Large (40B to 200B) | Large (40B to 200B) |
| Context length | 131,072 tokens (128K) | 131,072 tokens (128K) |
| Capabilities | Text | Text |
| Served weights | 4-bit | 4-bit |
| Weights size | 40.7 GB | 40.7 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
- Both have a context window of 131,072 tokens.
- Both have 70B parameters in total.
- Both support the same capabilities: Text.
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 3.1 70B vs Llama 3.3 70B13 items