mancer
Mancer: Weaver (alpha)
mancer/weaver
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Mancer: Weaver (alpha) is a text-to-text model listed in the OpenRouter catalog, described by its author as an attempt to recreate Claude-style verbosity for roleplay and narrative use, with a stated caveat that coherence and memory will not match that reference. The catalog reports an 8,000-token context window, a knowledge cutoff of June 30, 2023, and support for common sampling controls such as temperature, top_p, min_p, and repetition penalties. No independent model card or benchmark results were included in this source pack, so capabilities remain author-described rather than measured.[1]
Strengths
- Catalog description positions it for verbose, narrative-style generation aimed at roleplay scenarios.[1]
- Exposes a broad set of sampling parameters, including temperature, top_p, top_k, min_p, top_a, repetition and presence penalties, seed, logit bias, and structured response format, giving fine-grained control over output.[1]
- Transparent per-token pricing and an input cache read rate are published in the catalog.[1]
Limitations
- It is labeled alpha, and the catalog description itself warns not to expect the same level of coherence or memory as the style it imitates.[1]
- Evidence is catalog-only: no independent model card, evaluations, or benchmark data were supplied, so real-world performance should be validated on the intended workload.[1]
- The catalog lists a text-only modality and an 8,000-token context window, which may be restrictive for very long inputs.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Mancer: Weaver (alpha)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
Specifications
- Model ID
- mancer/weaver
- Creator
- mancer
- Added to OpenRouter
- 02.08.2023
- Context length
- 8,000
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.300 / out $0.500
- Knowledge cutoff
- 30.06.2023
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Mancer 2fp8 | 8,000 | $0.300 | $0.500 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.