# EXAONE 4.5 33B vs SmolLM3-3B (slim)

> EXAONE 4.5 33B and SmolLM3-3B 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.

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- 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 SmolLM3-3B score within a point of each other on agent readiness, 61 (C) and 61 (C). SmolLM3-3B 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
- SmolLM3-3B: C 61, rank #55 of 160 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.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 80.
- SmolLM3-3B, good for Agents that want a small, fully transparent tool-calling cousin on a laptop, CPU or edge device Ahead on Reach, 85 against 65; Risk, 65 against 50; Documentation and upkeep, 74 against 50.

| Category | EXAONE 4.5 33B | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 85 | 80 |
| Documentation and upkeep (10%) | 50 | 74 |

| Fact (where they differ) | EXAONE 4.5 33B | SmolLM3-3B |
| --- | --- | --- |
| Vendor | LG AI Research | Hugging Face |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2025-09-10 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Documentation and upkeep, SmolLM3-3B +24: 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…); SmolLM3-3B 74 (Model card 14, it covers limitations, architecture, parameters, context and languages but has no intended-use section and leaves the June 2025 cut-off to the ch…)
- Reach, SmolLM3-3B +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.); SmolLM3-3B 85 (Memory 30, the smallest 4-bit build Hugging Face publishes is its own ONNX q4f16 at 2.1 GB, about 2.5 GB with the fifth added, and the full BF16 files that the…)
- Risk, SmolLM3-3B +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.); SmolLM3-3B 65 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)
- Agent interface, EXAONE 4.5 33B +5: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); SmolLM3-3B 80 (Chat template 20, a Jinja file in the repository.)