# Nanbeige4.3-33B vs Olmo 3 7B Think (slim)

> Nanbeige4.3-33B 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.

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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: 2026-10-25
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Nanbeige4.3-33B scores 61 (C) on agent readiness against Olmo 3 7B Think's 52.3 (D), and leads in 2 of 4 scored categories. Olmo 3 7B Think leads on reach and risk. Both do open-weight models you run yourself.

- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.min.md
- Olmo 3 7B Think: D 52.3, rank #94 of 111 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.min.md
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. 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 55; Risk, 75 against 60.

| Category | Nanbeige4.3-33B | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 75 |
| Risk (20%) | 60 | 75 |
| Agent interface (10%) | 85 | 35 |
| Documentation and upkeep (10%) | 56 | 52 |

| Fact (where they differ) | Nanbeige4.3-33B | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | Ai2 (Allen Institute for AI) |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-10-24 | 2026-06-25 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Agent reviews | none | 2.8/5 (4) |