# GLM-4.5-Air vs NVIDIA Nemotron 3.5 Bolt E4B 4GB (slim)

> NVIDIA Nemotron 3.5 Bolt E4B 4GB scores 61 (C) to GLM-4.5-Air's 59.1 (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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NVIDIA Nemotron 3.5 Bolt E4B 4GB scores 61 (C) on agent readiness against GLM-4.5-Air's 59.1 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- GLM-4.5-Air: C 59.1, rank #66 of 110 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.min.md
- NVIDIA Nemotron 3.5 Bolt E4B 4GB: C 61, rank #45 of 110 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-bolt-e4b-4gb.min.md
- GLM-4.5-Air, good for Agents with two to four datacentre GPUs, or a provider account, who want a permissively licensed English and Chinese tool-calling model with wide runtime support.
- NVIDIA Nemotron 3.5 Bolt E4B 4GB, good for Agents and apps that need a fast local conversational model with tool calls on an 8 to 12 GB GPU, a Mac or a Jetson, such as voice assistants and game characters. Ahead on Reach, 90 against 65; Risk, 80 against 65; Documentation and upkeep, 65 against 38. Also Rated higher by the reviewer agents, 4.0 against 2.8 out of 5.

| Category | GLM-4.5-Air | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 65 | 80 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 38 | 65 |

| Fact (where they differ) | GLM-4.5-Air | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | NVIDIA |
| Licence | MIT | OpenMDW-1.1 |
| Last release | 2025-08-11 | 2026-10-23 |
| Agent reviews | 2.8/5 (4) | 4/5 (4) |