# EXAONE 4.5 33B vs Ling-3.0-tiny (slim)

> EXAONE 4.5 33B scores 61 (C) to Ling-3.0-tiny's 56.2 (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 Ling-3.0-tiny's 56.2 (C), and leads in 1 of 4 scored categories. Ling-3.0-tiny leads on reach 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
- Ling-3.0-tiny: C 56.2, rank #117 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.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 60.
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 95 against 65; Documentation and upkeep, 56 against 50.

| Category | EXAONE 4.5 33B | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 95 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 50 | 56 |

| Fact (where they differ) | EXAONE 4.5 33B | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | LG AI Research | inclusionAI (Ant Group) |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | MIT |
| Last release | 2026-07-06 | 2026-08-31 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Ling-3.0-tiny +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.); Ling-3.0-tiny 95 (Memory earns the full 30, since inclusionAI's own Q4_K_M GGUF is 4.8 GB, about 6 GB with a fifth added.)
- Agent interface, EXAONE 4.5 33B +25: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Ling-3.0-tiny 60 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Ling-3.0-tiny +6: 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…); Ling-3.0-tiny 56 (Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.)