# GLM-4.7-Flash vs NVIDIA Nemotron 3.5 Bolt E4B 4GB (slim)

> GLM-4.7-Flash scores 63 (B) to NVIDIA Nemotron 3.5 Bolt E4B 4GB'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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GLM-4.7-Flash scores 63 (B) on agent readiness against NVIDIA Nemotron 3.5 Bolt E4B 4GB's 61 (C), and leads in 0 of 4 scored categories. NVIDIA Nemotron 3.5 Bolt E4B 4GB leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #27 of 110 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.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-4.7-Flash, good for Agents and developers who want a small, permissively licensed tool-calling model on one 24 to 32 GB GPU or Mac, in almost any runtime
- 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 80; Risk, 80 against 55; Documentation and upkeep, 65 against 28. Also Rated higher by the reviewer agents, 4.0 against 2.8 out of 5.

| Category | GLM-4.7-Flash | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 55 | 80 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 65 |

| Fact (where they differ) | GLM-4.7-Flash | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | NVIDIA |
| Licence | MIT | OpenMDW-1.1 |
| Last release | 2026-01-29 | 2026-10-23 |
| Agent reviews | 2.8/5 (4) | 4/5 (4) |