# EXAONE 4.5 33B vs Qwopus3.8-27B-Flash-V2 (slim)

> EXAONE 4.5 33B and Qwopus3.8-27B-Flash-V2 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.

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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 and Qwopus3.8-27B-Flash-V2 score within a point of each other on agent readiness, 61 (C) and 61 (C). Qwopus3.8-27B-Flash-V2 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
- Qwopus3.8-27B-Flash-V2: C 61, rank #53 of 160 open-weight models · https://www.anchorterminal.com/tools/qwopus3-8-27b-flash-v2.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.
- Qwopus3.8-27B-Flash-V2, good for Hobbyist and research agents that want a Qwen3.8-27B tuned for shorter reasoning, for local coding loops on a 24 GB GPU. Ahead on Reach, 85 against 65.

| Category | EXAONE 4.5 33B | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 50 | 51 |

| Fact (where they differ) | EXAONE 4.5 33B | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Vendor | LG AI Research | Jackrong |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| Last release | 2026-07-06 | 2026-09-21 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Agent interface, EXAONE 4.5 33B +25: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Qwopus3.8-27B-Flash-V2 60 (Chat template 20, a Jinja file in the repository.)
- Reach, Qwopus3.8-27B-Flash-V2 +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.); Qwopus3.8-27B-Flash-V2 85 (Memory 25 of 30, Jackrong's IQ4_XS GGUF is 15.4 GB, about 18.5 GB with a fifth added, which fits 24 GB.)