# Darwin-36B-Opus vs EXAONE 4.5 33B (slim)

> Darwin-36B-Opus and EXAONE 4.5 33B 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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Darwin-36B-Opus and EXAONE 4.5 33B score within a point of each other on agent readiness, 61 (C) and 61 (C). EXAONE 4.5 33B leads on agent interface. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #43 of 160 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.min.md
- EXAONE 4.5 33B: C 61, rank #61 of 160 open-weight models · https://www.anchorterminal.com/tools/exaone-4-5-33b.min.md
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Reach, 80 against 65; Risk, 55 against 50; Documentation and upkeep, 61 against 50.
- 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.

| Category | Darwin-36B-Opus | EXAONE 4.5 33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 65 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 61 | 50 |

| Fact (where they differ) | Darwin-36B-Opus | EXAONE 4.5 33B |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | LG AI Research |
| Licence | Apache-2.0 | EXAONE AI Model License Agreement 1.2 - NC (research and education only) |
| Last release | 2026-04-23 | 2026-07-06 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, Darwin-36B-Opus +15: Darwin-36B-Opus 80 (Memory 20, the publisher's Q4_K_M GGUF is 21.2 GB and needs about 25.4 GB with the fifth added, so 32 GB.); 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.)
- Agent interface, EXAONE 4.5 33B +15: Darwin-36B-Opus 70 (Chat template 20, Qwen3.6's Jinja template in the repository.); EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).)
- Documentation and upkeep, Darwin-36B-Opus +11: Darwin-36B-Opus 61 (Model card 11, it covers architecture, parameters, context and languages but not intended use, limitations or a knowledge cut-off.); 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…)
- Risk, Darwin-36B-Opus +5: Darwin-36B-Opus 55 (File safety 25, safetensors and GGUF only with no code in the repository, so the card's trust_remote_code flag loads nothing extra.); EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.)