Side-by-side comparison
ReMM SLERP 13B vs Weaver (alpha)
| ReMM SLERP 13B | Weaver (alpha) | |
|---|---|---|
| Provider | Undi95 | Mancer |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 6,144 | 8,000 |
| 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 → | 0.4500 | 0.7500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.6500 | 1.0000 |
Frequently asked questions
Which is cheaper, ReMM SLERP 13B or Weaver (alpha)?
ReMM SLERP 13B is cheaper than Weaver (alpha) on a 50/50 input/output blend by about $0.325 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, ReMM SLERP 13B or Weaver (alpha)?
Weaver (alpha) has the larger context window at 8k tokens versus 6k tokens for ReMM SLERP 13B. That means Weaver (alpha) can ingest about 1.3x as much text per request.
What is the difference between ReMM SLERP 13B and Weaver (alpha)?
ReMM SLERP 13B comes from Undi95; Weaver (alpha) comes from Mancer. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.