# EXAONE 4.5 33B vs Ornith-1.5-122B (slim)

> EXAONE 4.5 33B and Ornith-1.5-122B 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.

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-122b.md (~9,100 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-122b
- 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 Ornith-1.5-122B score within a point of each other on agent readiness, 61 (C) and 61 (C). Ornith-1.5-122B leads on reach. 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.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 Documentation and upkeep, 50 against 36.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Reach, 75 against 65.

| Category | EXAONE 4.5 33B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 50 | 36 |

| Fact (where they differ) | EXAONE 4.5 33B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | LG AI Research | Ornith |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | MIT |
| Last release | 2026-07-06 | 2026-10-24 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Documentation and upkeep, EXAONE 4.5 33B +14: 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…); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Reach, Ornith-1.5-122B +10: 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.); Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…)