Gemma 3n E2B IT is a multimodal, instruction-tuned model developed by Google DeepMind, designed to operate efficiently at an effective parameter size of 2B while leveraging a 6B architecture. Based on the MatFormer architecture, it supports…
Model details →Google: Gemma 3n 2B (free) vs MythoMax 13B
Google: Gemma 3n 2B (free) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
Model details →Side-by-side comparison
| Capability | Google: Gemma 3n 2B (free) | MythoMax 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 4K | 🏆 Google: Gemma 3n 2B (free) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.06 | 🏆 Google: Gemma 3n 2B (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $0.06 | 🏆 Google: Gemma 3n 2B (free) |
| 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 3n 2B (free) better than MythoMax 13B?
Google: Gemma 3n 2B (free) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3n 2B (free) and MythoMax 13B?
Input: $0.00 vs $0.06 per 1M tokens. Output: $0.00 vs $0.06 per 1M tokens.
What context windows do Google: Gemma 3n 2B (free) and MythoMax 13B support?
Google: Gemma 3n 2B (free) supports up to 8K tokens. MythoMax 13B supports up to 4K tokens.
Do both Google: Gemma 3n 2B (free) and MythoMax 13B support tool calling?
Google: Gemma 3n 2B (free): not advertised. MythoMax 13B: not advertised.