# EXAONE 4.5 33B vs LFM3-Omni-2B (slim)

> EXAONE 4.5 33B and LFM3-Omni-2B 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-lfm3-omni-2b.md (~9,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-omni-2b.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-omni-2b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

EXAONE 4.5 33B and LFM3-Omni-2B score within a point of each other on agent readiness, 61 (C) and 61 (C). LFM3-Omni-2B 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
- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.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 Risk, 50 against 40; Agent interface, 85 against 70.
- LFM3-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools Ahead on Reach, 80 against 65.

| Category | EXAONE 4.5 33B | LFM3-Omni-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 80 |
| Risk (20%) | 50 | 40 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 50 | 49 |

| Fact (where they differ) | EXAONE 4.5 33B | LFM3-Omni-2B |
| --- | --- | --- |
| Vendor | LG AI Research | Liquid AI |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-07-06 | 2026-11-03 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Reach, LFM3-Omni-2B +15: 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.); LFM3-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 GB, which fits 8 GB, well inside the 16 GB line.)
- Agent interface, EXAONE 4.5 33B +15: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.)
- Risk, EXAONE 4.5 33B +10: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)