# EXAONE 4.5 33B vs Nemotron 3.5 Lightning 30B A3B (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (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.

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-5-lightning-30b-a3b.md (~10,750 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-5-lightning-30b-a3b.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-5-lightning-30b-a3b
- 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)

Nemotron 3.5 Lightning 30B A3B scores 64.7 (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 3.5 Lightning 30B A3B: B 64.7, rank #20 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-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 3.5 Lightning 30B A3B, good for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence Ahead on Reach, 85 against 65; Risk, 75 against 50; Agent interface, 90 against 85; Documentation and upkeep, 75 against 50.

| Category | EXAONE 4.5 33B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 50 | 75 |

| Fact (where they differ) | EXAONE 4.5 33B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Vendor | LG AI Research | NVIDIA |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | OpenMDW-1.1 |
| Last release | 2026-07-06 | 2026-08-11 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Risk, Nemotron 3.5 Lightning 30B A3B +25: 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 3.5 Lightning 30B A3B 75 (File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output.)
- Documentation and upkeep, Nemotron 3.5 Lightning 30B A3B +25: 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 3.5 Lightning 30B A3B 75 (The model card earns 20, all seven items with limitations in the linked subcard.)
- Reach, Nemotron 3.5 Lightning 30B A3B +20: 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 3.5 Lightning 30B A3B 85 (Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added.)
- Agent interface, Nemotron 3.5 Lightning 30B A3B +5: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Nemotron 3.5 Lightning 30B A3B 90 (The chat template earns 20, a Jinja file in the repository.)