# EXAONE 4.5 33B vs Gemma 4 E2B IT (slim)

> EXAONE 4.5 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.

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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: 2026-11-10
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EXAONE 4.5 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.

- EXAONE 4.5 33B: C 61, rank #61 of 160 open-weight models · https://www.anchorterminal.com/tools/exaone-4-5-33b.min.md
- Gemma 4 E2B IT: C 60.4, rank #88 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights
- 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 65; Risk, 70 against 50; Documentation and upkeep, 75 against 50.

| Category | EXAONE 4.5 33B | Gemma 4 E2B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 95 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 50 | 75 |

| Fact (where they differ) | EXAONE 4.5 33B | Gemma 4 E2B IT |
| --- | --- | --- |
| Vendor | LG AI Research | Google DeepMind |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2026-07-06 | 2026-11-03 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, Gemma 4 E2B IT +30: EXAONE 4.5 33B 65 (Memory 20, the smallest build at 4 bits is LG's IQ4_XS GGUF, 18.03 GB with the 2.57 GB projector, and 20.60 GB × 1.2 = 24.7 GB, within 32 GB.); Gemma 4 E2B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 4.34 GB, which with a fifth on top is 5.2 GB and fits in 16 GB or less.)
- Documentation and upkeep, Gemma 4 E2B IT +25: EXAONE 4.5 33B 50 (Model card 20, Uses (the quickstart's question answering, document and agent examples), limitations, the architecture, the parameters, the context, the language…); Gemma 4 E2B IT 75 (Model card 20, all seven items are there.)
- Risk, Gemma 4 E2B IT +20: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); Gemma 4 E2B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.)