# DeepSeek-V3.2 vs EXAONE 4.5 33B (slim)

> EXAONE 4.5 33B scores 61 (C) to DeepSeek-V3.2's 58.6 (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 DeepSeek-V3.2's 58.6 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #102 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- EXAONE 4.5 33B: C 61, rank #61 of 160 open-weight models · https://www.anchorterminal.com/tools/exaone-4-5-33b.min.md
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights Ahead on Reach, 65 against 60; Agent interface, 85 against 60; Documentation and upkeep, 50 against 34.

| Category | DeepSeek-V3.2 | EXAONE 4.5 33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 65 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 50 |

| Fact (where they differ) | DeepSeek-V3.2 | EXAONE 4.5 33B |
| --- | --- | --- |
| Vendor | DeepSeek | LG AI Research |
| Licence | MIT | EXAONE AI Model License Agreement 1.2 - NC (research and education only) |
| Last release | 2025-12-01 | 2026-07-06 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Agent interface, EXAONE 4.5 33B +25: DeepSeek-V3.2 60 (The chat template earns 10, as the format exists only as Python code to run.); EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).)
- Documentation and upkeep, EXAONE 4.5 33B +16: DeepSeek-V3.2 34 (The model card earns 14 when read with DeepSeek's own V3.2 model card PDF, which adds intended use and a parameter count, leaving languages and a knowledge cut-…); 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…)
- Reach, EXAONE 4.5 33B +5: DeepSeek-V3.2 60 (Memory earns nothing, because the only build from DeepSeek or a runtime's library is the 689.5 GB FP8 release, which needs about 827 GB with the fifth added.); 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.)