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 Mistral: Mistral 7B Instruct v0.1
Mistral: Mistral 7B Instruct v0.1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.
Model details →Side-by-side comparison
| Capability | Mancer: Weaver (alpha) | Mistral: Mistral 7B Instruct v0.1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 3K | 🏆 Mancer: Weaver (alpha) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.40 | $0.11 | 🏆 Mistral: Mistral 7B Instruct v0.1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.75 | $0.19 | 🏆 Mistral: Mistral 7B Instruct v0.1 |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| 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 Mistral: Mistral 7B Instruct v0.1?
Mistral: Mistral 7B Instruct v0.1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mancer: Weaver (alpha) and Mistral: Mistral 7B Instruct v0.1?
Input: $0.40 vs $0.11 per 1M tokens. Output: $0.75 vs $0.19 per 1M tokens.
What context windows do Mancer: Weaver (alpha) and Mistral: Mistral 7B Instruct v0.1 support?
Mancer: Weaver (alpha) supports up to 8K tokens. Mistral: Mistral 7B Instruct v0.1 supports up to 3K tokens.
Do both Mancer: Weaver (alpha) and Mistral: Mistral 7B Instruct v0.1 support tool calling?
Mancer: Weaver (alpha): not advertised. Mistral: Mistral 7B Instruct v0.1: not advertised.