# EXAONE 4.5 33B vs Olmo 3 7B Think (slim)

> EXAONE 4.5 33B scores 61 (C) to Olmo 3 7B Think's 52.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-olmo-3-7b-think.md (~9,400 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-olmo-3-7b-think.json · canonical https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-olmo-3-7b-think
- 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 Olmo 3 7B Think's 52.3 (D), and leads in 1 of 4 scored categories. Olmo 3 7B Think leads on reach and risk. 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
- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.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 35.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 65; Risk, 75 against 50.

| Category | EXAONE 4.5 33B | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 85 | 35 |
| Documentation and upkeep (10%) | 50 | 52 |

| Fact (where they differ) | EXAONE 4.5 33B | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | LG AI Research | Ai2 (Allen Institute for AI) |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-07-06 | 2026-06-25 |
| Terms last updated | not read yet | 2024-09-25 |
| Privacy policy last updated | no document linked | 2025-02-19 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, EXAONE 4.5 33B +50: EXAONE 4.5 33B 85 (Chat template 20, chat_template.jinja in the repository (5,930 characters).); Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, Olmo 3 7B Think +25: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.)
- Reach, Olmo 3 7B Think +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.); Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).)