Model Cost Profile

Mancer: Weaver (alpha)

Developer: mancer

Pricing updated Mar 11, 2026

Input rank: #225Output rank: #172

Live Pricing

Input: $0.7500

Output: $1.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Mancer: Weaver (alpha) is designed for applications requiring extensive context management, supporting a context window of 8000 tokens, making it suitable for complex dialogue systems and content generation tasks. Teams utilizing this API model can expect input costs of $0.75 per million tokens and output costs of $1.00 per million tokens, which can significantly impact budget considerations depending on usage volume. This model is ideal for businesses looking to enhance customer interactions or streamline content workflows while managing operational expenses effectively.

๐Ÿ“‹ Structured Output

Context Window

8,000

Tokens

Input Price / 1M

$0.7500

Prompt tokens

Output Price / 1M

$1.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Mancer: Weaver (alpha) Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.7500$0.8750$1.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.7500

Current Output / 1M

$1.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Mancer: Weaver (alpha).

How much does Mancer: Weaver (alpha) cost per 1M input tokens?

Mancer: Weaver (alpha) input pricing is $0.7500 per 1M tokens based on the latest synced provider data.

How much does Mancer: Weaver (alpha) cost per 1M output tokens?

Mancer: Weaver (alpha) output pricing is $1.00 per 1M tokens based on the latest synced provider data.

What context window does Mancer: Weaver (alpha) support?

Mancer: Weaver (alpha) supports a context window of 8,000 tokens.

How can I compare Mancer: Weaver (alpha) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.