Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...
Model details →Google: Gemma 3n 4B vs Qwen2.5 72B Instruct
Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Model details →Side-by-side comparison
| Capability | Google: Gemma 3n 4B | Qwen2.5 72B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 33K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.06 | $0.36 | 🏆 Google: Gemma 3n 4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.12 | $0.40 | 🏆 Google: Gemma 3n 4B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen2.5 72B Instruct |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3n 4B better than Qwen2.5 72B Instruct?
Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3n 4B and Qwen2.5 72B Instruct?
Input: $0.06 vs $0.36 per 1M tokens. Output: $0.12 vs $0.40 per 1M tokens.
What context windows do Google: Gemma 3n 4B and Qwen2.5 72B Instruct support?
Google: Gemma 3n 4B supports up to 33K tokens. Qwen2.5 72B Instruct supports up to 33K tokens.
Do both Google: Gemma 3n 4B and Qwen2.5 72B Instruct support tool calling?
Google: Gemma 3n 4B: not advertised. Qwen2.5 72B Instruct: yes.