Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of text generation tasks, including question answering, sum…
Model details →Google: Gemma 2 27B vs Mancer: Weaver (alpha)
Google: Gemma 2 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | Google: Gemma 2 27B | Mancer: Weaver (alpha) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 8K | 🏆 Google: Gemma 2 27B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.65 | $0.75 | 🏆 Google: Gemma 2 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.65 | $1.00 | 🏆 Google: Gemma 2 27B |
| 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 Google: Gemma 2 27B better than Mancer: Weaver (alpha)?
Google: Gemma 2 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 2 27B and Mancer: Weaver (alpha)?
Input: $0.65 vs $0.75 per 1M tokens. Output: $0.65 vs $1.00 per 1M tokens.
What context windows do Google: Gemma 2 27B and Mancer: Weaver (alpha) support?
Google: Gemma 2 27B supports up to 8K tokens. Mancer: Weaver (alpha) supports up to 8K tokens.
Do both Google: Gemma 2 27B and Mancer: Weaver (alpha) support tool calling?
Google: Gemma 2 27B: not advertised. Mancer: Weaver (alpha): not advertised.