# EXAONE 4.5 33B vs Qwen3-Coder-Next (slim)

> EXAONE 4.5 33B scores 61 (C) to Qwen3-Coder-Next's 57.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-coder-next.md (~9,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-coder-next.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-coder-next
- 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 scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 2 of 4 scored categories. Qwen3-Coder-Next leads on reach. 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-Coder-Next: C 57.6, rank #107 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.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; Documentation and upkeep, 50 against 41.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Reach, 85 against 65.

| Category | EXAONE 4.5 33B | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 50 | 41 |

| Fact (where they differ) | EXAONE 4.5 33B | Qwen3-Coder-Next |
| --- | --- | --- |
| 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 | 2026-02-03 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-Coder-Next +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-Coder-Next 85 (Memory earns 15 of 30, since Alibaba's own Q4_K_M GGUF is 48.4 GB, about 58 GB with a fifth added, inside the 64 GB band, and LM Studio's MLX and Ollama's build…)
- Agent interface, EXAONE 4.5 33B +10: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Qwen3-Coder-Next 75 (The template ships in the repository (20).)
- Documentation and upkeep, EXAONE 4.5 33B +9: 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-Coder-Next 41 (The card covers four of the seven items and misses limitations, languages and a cut-off (11).)