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.
Model details →Mancer: Weaver (alpha) vs OpenAI: GPT-3.5 Turbo (batch)
OpenAI: GPT-3.5 Turbo (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Mancer: Weaver (alpha) | OpenAI: GPT-3.5 Turbo (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 16K | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.40 | $0.25 | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.75 | $0.75 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Mancer: Weaver (alpha) better than OpenAI: GPT-3.5 Turbo (batch)?
OpenAI: GPT-3.5 Turbo (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mancer: Weaver (alpha) and OpenAI: GPT-3.5 Turbo (batch)?
Input: $0.40 vs $0.25 per 1M tokens. Output: $0.75 vs $0.75 per 1M tokens.
What context windows do Mancer: Weaver (alpha) and OpenAI: GPT-3.5 Turbo (batch) support?
Mancer: Weaver (alpha) supports up to 8K tokens. OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens.
Do both Mancer: Weaver (alpha) and OpenAI: GPT-3.5 Turbo (batch) support tool calling?
Mancer: Weaver (alpha): not advertised. OpenAI: GPT-3.5 Turbo (batch): yes.