# EXAONE 4.5 33B vs MiniCPM5-2B (slim)

> EXAONE 4.5 33B scores 61 (C) to MiniCPM5-2B's 59.7 (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 MiniCPM5-2B's 59.7 (C), and leads in 1 of 4 scored categories. MiniCPM5-2B 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
- MiniCPM5-2B: C 59.7, rank #94 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm5-2b.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 Agent interface, 85 against 75.
- MiniCPM5-2B, good for On-device and laptop agents that want a 2 GB tool-calling helper with long context and open training data Ahead on Reach, 90 against 65; Risk, 55 against 50; Documentation and upkeep, 92 against 50.

| Category | EXAONE 4.5 33B | MiniCPM5-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 50 | 92 |

| Fact (where they differ) | EXAONE 4.5 33B | MiniCPM5-2B |
| --- | --- | --- |
| Vendor | LG AI Research | OpenBMB |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2026-09-29 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, MiniCPM5-2B +42: 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…); MiniCPM5-2B 92 (Model card 17, everything but a knowledge cut-off.)
- Reach, MiniCPM5-2B +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.); MiniCPM5-2B 90 (Memory 30, OpenBMB's own MLX 4-bit build is 1.42 GB and its Q4_K_M GGUF 1.56 GB, about 2 GB with the fifth added.)
- Agent interface, EXAONE 4.5 33B +10: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); MiniCPM5-2B 75 (Chat template 20, a Jinja file in the repository.)
- Risk, MiniCPM5-2B +5: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); MiniCPM5-2B 55 (File safety 25, safetensors and GGUF only, and the documented way to load it runs no code from the repository.)
