Side-by-side comparison
Weaver (alpha) vs R1 Distill Llama 70B
DeepSeek
R1 Distill Llama 70B
{} JSON
Input / 1M
$0.7000
Output / 1M
$0.8000
| Weaver (alpha) | R1 Distill Llama 70B | |
|---|---|---|
| Provider | Mancer | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | json_mode | json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.7500 | 0.7000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.0000 | 0.8000 |
Frequently asked questions
Which is cheaper, Weaver (alpha) or R1 Distill Llama 70B?
R1 Distill Llama 70B is cheaper than Weaver (alpha) on a 50/50 input/output blend by about $0.125 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Weaver (alpha) or R1 Distill Llama 70B?
R1 Distill Llama 70B has the larger context window at 131k tokens versus 8k tokens for Weaver (alpha). That means R1 Distill Llama 70B can ingest about 16.4x as much text per request.
What is the difference between Weaver (alpha) and R1 Distill Llama 70B?
Weaver (alpha) comes from Mancer; R1 Distill Llama 70B comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.