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Mancer · language model

Weaver (alpha): pricing, context and benchmarks

Weaver (alpha) is a language model from Mancer released on August 2, 2023. It costs $0.4 per million input tokens and $0.75 per million output tokens, with a 8K-token context window. No independent score has been published for it so far.

Mid-range costNo tool calling

What you need to know about Weaver (alpha)

Weaver (alpha) was released by Mancer on August 2, 2023. It accepts text as input and produces text. Its context window reaches 8,000 tokens, larger than 1 % of the models in the registry, and it can write up to 6,000 tokens in one go.

Released more than 3 years ago, it belongs to a generation most vendors have since superseded.

Weaver (alpha) pricing

On OpenRouter, Weaver (alpha) costs $0.4 per million input tokens and $0.75 per million output tokens. Counting three tokens read for every token written, its average price is $0.488 per million, more expensive than 41 % of paid models (1.6 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0012. At 1,000 tasks a day, budget $35 a month. The price calculator redoes this with your own volumes.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Weaver (alpha). We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

  • It does not support tool calling: it is not suited to driving an AI agent that has to act.
  • It can answer in an enforced JSON format (structured outputs).
  • Its knowledge stops at June 2023.

Its weights are not published: it can only be used through the Mancer API or a broker such as OpenRouter, which means sending your data off your machines.

Verdict

Weaver (alpha) scores 35/100 on our grid, which only uses published figures.

Limitations

  • Short context (8K tokens): long documents must be split.
  • No tool calling: unusable as an agent's brain.
  • No independent score published: performance cannot be verified.
  • Older generation, often replaced by a newer model from the same vendor.
  • Text only: reads neither images nor files.

Avoid if…

  • your data must not leave your servers;
  • you are building an agent that must call tools;
  • you analyse long documents in one go.

Frequently asked questions

How much does Weaver (alpha) cost?

$0.4 per million input tokens and $0.75 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0012.

How big is Weaver (alpha)'s context window?

8,000 tokens, roughly 6,000 words, with a maximum of 6,000 output tokens.

Can Weaver (alpha) run locally?

No, Mancer does not publish its weights: it is API-only.

Is Weaver (alpha) suitable for an AI agent?

No: without tool calling it cannot act, only answer.

What are the alternatives to Weaver (alpha)?

The closest models on price and performance are Perceptron Mk1.5, Perceptron Mk1, and ReMM SLERP 13B.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score