# EXAONE 4.5 33B vs Granite 4.2 3B (slim)

> EXAONE 4.5 33B scores 61 (C) to Granite 4.2 3B's 59.8 (C) for open-weight models you run yourself. 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 scores 61 (C) on agent readiness against Granite 4.2 3B's 59.8 (C), and leads in 0 of 4 scored categories. Granite 4.2 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
- Granite 4.2 3B: C 59.8, rank #92 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-3b.min.md
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights
- Granite 4.2 3B, good for Agents on small hardware that want a permissive reasoning model for tool calls and coding, with thinking they can switch off Ahead on Reach, 95 against 65; Risk, 55 against 50; Documentation and upkeep, 92 against 50.

| Category | EXAONE 4.5 33B | Granite 4.2 3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 95 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 50 | 92 |

| Fact (where they differ) | EXAONE 4.5 33B | Granite 4.2 3B |
| --- | --- | --- |
| Vendor | LG AI Research | IBM |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2026-10-20 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Documentation and upkeep, Granite 4.2 3B +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…); Granite 4.2 3B 92 (The card covers everything but a knowledge cut-off (17).)
- Reach, Granite 4.2 3B +30: 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.); Granite 4.2 3B 95 (Memory earns the full 30, since IBM's 4-bit MLX build is 2.07 GB and Ollama's Q4_K_M build 2.2 GB, about 2.5 to 2.6 GB with the fifth added.)
- Risk, Granite 4.2 3B +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.); Granite 4.2 3B 55 (File safety gets 15 of 25, safetensors only, less 10 because the card's vLLM command loads the repository's parser plugin.)