# EXAONE 4.5 33B vs Recursive Flint (slim)

> EXAONE 4.5 33B and Recursive Flint 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-recursive-flint.md (~9,900 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-recursive-flint.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-recursive-flint
- 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 Recursive Flint score within a point of each other on agent readiness, 61 (C) and 61 (C). Recursive Flint leads on reach, risk, agent interface and documentation and upkeep. 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
- Recursive Flint: C 61, rank #54 of 160 open-weight models · https://www.anchorterminal.com/tools/recursive-flint.min.md
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights
- Recursive Flint, good for Agents doing repository work on a 32 to 48 GB Mac or NVIDIA box that want a sparse coder with documented tool calls and a plain licence. Ahead on Reach, 85 against 65; Risk, 60 against 50; Agent interface, 90 against 85; Documentation and upkeep, 67 against 50.

| Category | EXAONE 4.5 33B | Recursive Flint |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 50 | 67 |

| Fact (where they differ) | EXAONE 4.5 33B | Recursive Flint |
| --- | --- | --- |
| Vendor | LG AI Research | Recursive |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 |
| Last release | 2026-07-06 | 2026-10-21 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, Recursive Flint +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.); Recursive Flint 85 (Memory 20 of 30, Recursive's MLX INT4 build is 22.6 GB, or 27.1 GB with a fifth added, which fits 32 GB, and every other 4-bit build lands in the same band.)
- Documentation and upkeep, Recursive Flint +17: 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…); Recursive Flint 67 (Model card 17 of 20, everything but languages.)
- Risk, Recursive Flint +10: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); Recursive Flint 60 (File safety 15 of 25, safetensors and GGUF only, but the card's documented BF16 route installs the wheel shipped in the repository.)
- Agent interface, Recursive Flint +5: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Recursive Flint 90 (Chat template 20, a Jinja file in the repository and inside both GGUFs.)