# Inkling-Small vs Nanbeige4.3-33B (slim)

> Inkling-Small scores 66.5 (B) to Nanbeige4.3-33B's 61 (C) 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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Inkling-Small scores 66.5 (B) on agent readiness against Nanbeige4.3-33B's 61 (C), and leads in 2 of 4 scored categories. Both do open-weight models you run yourself.

- Inkling-Small: B 66.5, rank #14 of 111 open-weight models · https://www.anchorterminal.com/tools/inkling-small.min.md
- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.min.md
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Risk, 70 against 60; Documentation and upkeep, 82 against 56.
- 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.

| Category | Inkling-Small | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 55 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 82 | 56 |

| Fact (where they differ) | Inkling-Small | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0 | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-07-31 | 2026-10-24 |
| Agent reviews | 3.5/5 (4) | none |