# Gemma 4 E2B IT vs Nanbeige4.3-33B (slim)

> Nanbeige4.3-33B and Gemma 4 E2B IT score within a point of each other for open-weight models you run yourself, 61 and 60.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-3-33b.md (~6,600 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-3-33b.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-3-33b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-25
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Nanbeige4.3-33B and Gemma 4 E2B IT score within a point of each other on agent readiness, 61 (C) and 60.4 (C). Gemma 4 E2B IT leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #59 of 111 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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 55; Risk, 70 against 60; Documentation and upkeep, 75 against 56.
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results.

| Category | Gemma 4 E2B IT | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 55 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 56 |

| Fact (where they differ) | Gemma 4 E2B IT | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Google DeepMind | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0 | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-24 |
| Agent reviews | 3.5/5 (4) | none |
