# EXAONE 4.5 33B vs occamy-1.0 (slim)

> EXAONE 4.5 33B and occamy-1.0 score within a point of each other for open-weight models you run yourself, 61 and 61 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 occamy-1.0 score within a point of each other on agent readiness, 61 (C) and 61 (C). occamy-1.0 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
- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.min.md
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights Ahead on Agent interface, 85 against 70.
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Reach, 90 against 65; Risk, 55 against 50; Documentation and upkeep, 74 against 50.

| Category | EXAONE 4.5 33B | occamy-1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 50 | 74 |

| Fact (where they differ) | EXAONE 4.5 33B | occamy-1.0 |
| --- | --- | --- |
| Vendor | LG AI Research | Accio (Accio-Lab) |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2026-10-02 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, occamy-1.0 +25: 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.); occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.)
- Documentation and upkeep, occamy-1.0 +24: 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…); occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.)
- Agent interface, EXAONE 4.5 33B +15: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.)
- Risk, occamy-1.0 +5: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); occamy-1.0 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)