This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Magnum v4 72B vs Google: Gemma 2 27B
Google: Gemma 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | Magnum v4 72B | Google: Gemma 2 27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 8K | 🏆 Magnum v4 72B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.00 | $0.65 | 🏆 Google: Gemma 2 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $0.65 | 🏆 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 Magnum v4 72B better than Google: Gemma 2 27B?
Google: Gemma 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Magnum v4 72B and Google: Gemma 2 27B?
Input: $3.00 vs $0.65 per 1M tokens. Output: $5.00 vs $0.65 per 1M tokens.
What context windows do Magnum v4 72B and Google: Gemma 2 27B support?
Magnum v4 72B supports up to 16K tokens. Google: Gemma 2 27B supports up to 8K tokens.
Do both Magnum v4 72B and Google: Gemma 2 27B support tool calling?
Magnum v4 72B: not advertised. Google: Gemma 2 27B: not advertised.