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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: mancer_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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.
weaver is a Text model from Mancer (US). HotON.ai tracks it at $0.75 per 1M input tokens and $1.00 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
weaver is tracked at $0.75 per 1M input tokens and $1.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.94 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
weaver supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, weaver is cheaper than 37% of models on input price and ranks #359 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — weaver (Mancer): $0.75/1M input, $1.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/mancer-weaverPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.