# EXAONE 4.5 33B vs ThinkingCap (Qwen3.8 27B) (slim)

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

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-thinkingcap-qwen3-8-27b.md (~9,800 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-thinkingcap-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-thinkingcap-qwen3-8-27b
- 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 ThinkingCap (Qwen3.8 27B) score within a point of each other on agent readiness, 61 (C) and 61 (C). ThinkingCap (Qwen3.8 27B) 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
- ThinkingCap (Qwen3.8 27B): C 61, rank #58 of 160 open-weight models · https://www.anchorterminal.com/tools/thinkingcap-qwen3-8-27b.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 Risk, 50 against 45; Agent interface, 85 against 70.
- ThinkingCap (Qwen3.8 27B), good for Small teams and individuals running Qwen3.8-27B for agent or reasoning work who want shorter thinking traces on one 24 GB GPU or Mac. Ahead on Reach, 75 against 65.

| Category | EXAONE 4.5 33B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 50 | 53 |

| Fact (where they differ) | EXAONE 4.5 33B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | LG AI Research | BottleCap AI |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-07-06 | 2026-10-06 |
| Terms last updated | not read yet | no document linked |
| Privacy policy last updated | no document linked | 2026-01-21 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Agent interface, EXAONE 4.5 33B +15: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); ThinkingCap (Qwen3.8 27B) 70 (Chat template 20, the same Jinja template as Qwen3.8-27B, in the repository.)
- Reach, ThinkingCap (Qwen3.8 27B) +10: 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.); ThinkingCap (Qwen3.8 27B) 75 (Memory 25 of 30, BottleCap's IQ4_XS GGUF is 15.5 GB, 18.6 GB with a fifth added, which fits 24 GB.)
- Risk, EXAONE 4.5 33B +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.); ThinkingCap (Qwen3.8 27B) 45 (File safety 25, safetensors only and no code in the repository.)
