# EXAONE 4.5 33B vs Nemotron 3 Nano 30B A3B (slim)

> Nemotron 3 Nano 30B A3B scores 67.6 (B) to EXAONE 4.5 33B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Nemotron 3 Nano 30B A3B scores 67.6 (B) on agent readiness against EXAONE 4.5 33B's 61 (C), and leads in every scored category. 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 30B A3B: B 67.6, rank #12 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-30b-a3b.min.md
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights
- Nemotron 3 Nano 30B A3B, good for Agents with a 24 to 32 GB GPU or Mac that want a quick tool-calling and reasoning cousin with very long context. Ahead on Reach, 90 against 65; Risk, 60 against 50; Agent interface, 90 against 85; Documentation and upkeep, 80 against 50.

| Category | EXAONE 4.5 33B | Nemotron 3 Nano 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 50 | 80 |

| Fact (where they differ) | EXAONE 4.5 33B | Nemotron 3 Nano 30B A3B |
| --- | --- | --- |
| Vendor | LG AI Research | NVIDIA |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | NVIDIA Nemotron Open Model License (custom, Apache-style, commercial use allowed, not an OSI licence) |
| Last release | 2026-07-06 | 2026-08-24 |
| Terms last updated | not read yet | 2025-12-15 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Documentation and upkeep, Nemotron 3 Nano 30B A3B +30: 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 30B A3B 80 (The model card earns 20, with all seven items on the card and its subcards.)
- Reach, Nemotron 3 Nano 30B A3B +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 30B A3B 90 (Memory earns 25 because the smallest 4-bit build is Ollama's NVFP4 MLX build at 18 GB, 21.6 GB with the fifth added, and NVIDIA's own NVFP4 build lands in the s…)
- Risk, Nemotron 3 Nano 30B A3B +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.); Nemotron 3 Nano 30B A3B 60 (File safety earns 15, safetensors only but with the documented serving path passing trust-remote-code and loading a reasoning parser file from the repository.)
- Agent interface, Nemotron 3 Nano 30B A3B +5: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Nemotron 3 Nano 30B A3B 90 (The chat template earns 20 as a Jinja file in the repository.)