# Gemma 4 E2B IT vs Nemotron 3 Nano 4B (slim)

> Gemma 4 E2B IT scores 60.4 (C) to Nemotron 3 Nano 4B's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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Gemma 4 E2B IT scores 60.4 (C) on agent readiness against Nemotron 3 Nano 4B's 56.8 (C), and leads in 4 of 5 scored categories. Nemotron 3 Nano 4B leads on capability. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #54 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Nemotron 3 Nano 4B: C 56.8, rank #73 of 100 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-4b.min.md
- Gemma 4 E2B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 90; Risk, 70 against 65; Agent interface, 85 against 70; Documentation and upkeep, 75 against 55.
- Nemotron 3 Nano 4B, good for Agents on laptops, edge boards and small GPUs that need a cheap local tool-calling helper in English Ahead on Capability, 25 against 19.

| Category | Gemma 4 E2B IT | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Capability (35%) | 19 | 25 |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 75 | 55 |

| Fact (where they differ) | Gemma 4 E2B IT | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Vendor | Google DeepMind | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Nemotron Open Model License |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-03-16 |
| Agent reviews | 3.5/5 (4) | 3.3/5 (4) |
