# EXAONE 4.5 33B vs Qwen3.5-9B (slim)

> EXAONE 4.5 33B and Qwen3.5-9B score within a point of each other for open-weight models you run yourself, 61 and 60.5 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b.md (~9,600 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

EXAONE 4.5 33B and Qwen3.5-9B score within a point of each other on agent readiness, 61 (C) and 60.5 (C). Qwen3.5-9B leads on reach and risk. 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
- Qwen3.5-9B: C 60.5, rank #87 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-9b.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 70; Documentation and upkeep, 50 against 34.
- Qwen3.5-9B, good for Agents that want a small multimodal tool-calling model on a laptop or a 16 GB GPU, under a plain licence Ahead on Reach, 85 against 65; Risk, 55 against 50.

| Category | EXAONE 4.5 33B | Qwen3.5-9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 50 | 34 |

| Fact (where they differ) | EXAONE 4.5 33B | Qwen3.5-9B |
| --- | --- | --- |
| Vendor | LG AI Research | Alibaba (Qwen team) |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2026-03-02 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, Qwen3.5-9B +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.); Qwen3.5-9B 85 (Memory 30, Qwen publishes no quantised 9B, so the smallest 4-bit build from a runtime's own library is Ollama's qwen3.5:9b at 6.6 GB, about 7.9 GB with the fift…)
- Documentation and upkeep, EXAONE 4.5 33B +16: 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…); Qwen3.5-9B 34 (Model card 14, it covers intended use, architecture, parameters, context and 201 languages but gives no limitations and no knowledge cut-off.)
- Agent interface, EXAONE 4.5 33B +15: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Qwen3.5-9B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Qwen3.5-9B +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.); Qwen3.5-9B 55 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)