# BigBang-v1 vs EXAONE 4.5 33B (slim)

> EXAONE 4.5 33B scores 61 (C) to BigBang-v1's 56.3 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/bigbang-v1-vs-exaone-4-5-33b.md (~8,850 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/bigbang-v1-vs-exaone-4-5-33b.json · canonical https://www.anchorterminal.com/compare/bigbang-v1-vs-exaone-4-5-33b
- 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 scores 61 (C) on agent readiness against BigBang-v1's 56.3 (C), and leads in 3 of 4 scored categories. BigBang-v1 leads on risk. Both do open-weight models you run yourself.

- BigBang-v1: C 56.3, rank #116 of 160 open-weight models · https://www.anchorterminal.com/tools/bigbang-v1.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
- BigBang-v1, good for Agents with 96 GB or more that want an Apache 2.0 mixture-of-experts model tuned for research, search and coding, and can do without publisher support. Ahead on Risk, 55 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 Reach, 65 against 60; Agent interface, 85 against 60.

| Category | BigBang-v1 | EXAONE 4.5 33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 65 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 46 | 50 |

| Fact (where they differ) | BigBang-v1 | EXAONE 4.5 33B |
| --- | --- | --- |
| Vendor | The Endless Frontier (endless-frontier) | LG AI Research |
| Licence | Apache-2.0 | EXAONE AI Model License Agreement 1.2 - NC (research and education only) |
| Last release | 2026-08-06 | 2026-07-06 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Agent interface, EXAONE 4.5 33B +25: BigBang-v1 60 (Chat template 20, the base's template in the repository.); EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).)
- Reach, EXAONE 4.5 33B +5: BigBang-v1 60 (Memory 10 of 30, the only build from the publisher is BF16 at 71.9 GB, 86.3 GB with a fifth added, which fits the reference machine but not 64 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.)
- Risk, BigBang-v1 +5: BigBang-v1 55 (File safety 25, safetensors only and nothing from the repository runs.); EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.)