# EXAONE 4.5 33B vs Nemotron 3 Nano 4B (slim)

> EXAONE 4.5 33B scores 61 (C) to Nemotron 3 Nano 4B's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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EXAONE 4.5 33B scores 61 (C) on agent readiness against Nemotron 3 Nano 4B's 56.8 (C), and leads in 1 of 4 scored categories. Nemotron 3 Nano 4B 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
- Nemotron 3 Nano 4B: C 56.8, rank #110 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-4b.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.
- Nemotron 3 Nano 4B, good for Agents on laptops, edge boards and small GPUs that need a cheap local tool-calling helper in English Ahead on Reach, 90 against 65; Risk, 65 against 50; Documentation and upkeep, 55 against 50.

| Category | EXAONE 4.5 33B | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 50 | 55 |

| Fact (where they differ) | EXAONE 4.5 33B | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Vendor | LG AI Research | NVIDIA |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | NVIDIA Nemotron Open Model License |
| Last release | 2026-07-06 | 2026-03-16 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Reach, Nemotron 3 Nano 4B +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.); Nemotron 3 Nano 4B 90 (Memory earns the full 30, since NVIDIA's own 2.84 GB GGUF needs under 4 GB with the fifth added.)
- Risk, Nemotron 3 Nano 4B +15: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); Nemotron 3 Nano 4B 65 (File safety earns 15, safetensors and GGUF only but with 10 off because the documented commands pass trust_remote_code and load a parser plugin from the reposit…)
- Agent interface, EXAONE 4.5 33B +15: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Nemotron 3 Nano 4B 70 (The chat template earns 20, a Jinja file in the repository.)
- Documentation and upkeep, Nemotron 3 Nano 4B +5: 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…); Nemotron 3 Nano 4B 55 (The model card earns 20, all seven items with limitations in the linked subcard.)