# GLM-4.7-Flash vs Nemotron 3 Nano Omni 30B A3B Reasoning (slim)

> GLM-4.7-Flash scores 63 (B) to Nemotron 3 Nano Omni 30B A3B Reasoning's 60.7 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-4.7-Flash scores 63 (B) on agent readiness against Nemotron 3 Nano Omni 30B A3B Reasoning's 60.7 (C), and leads in 1 of 5 scored categories. Nemotron 3 Nano Omni 30B A3B Reasoning leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Nemotron 3 Nano Omni 30B A3B Reasoning: C 60.7, rank #52 of 100 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning.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 Ahead on Capability, 59 against 34.
- Nemotron 3 Nano Omni 30B A3B Reasoning, good for Agents with a 32 to 48 GB NVIDIA GPU that need one local model to read video, audio, documents and screens and call tools Ahead on Reach, 85 against 80; Risk, 60 against 55; Agent interface, 90 against 85; Documentation and upkeep, 65 against 28.

| Category | GLM-4.7-Flash | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Capability (35%) | 59 | 34 |
| Reach (25%) | 80 | 85 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 28 | 65 |

| Fact (where they differ) | GLM-4.7-Flash | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | NVIDIA |
| Licence | MIT | NVIDIA Open Model Agreement (custom, commercial use allowed, not an OSI licence) |
| Last release | 2026-01-29 | 2026-08-24 |
| Terms last updated | no document linked |  |
| Agent reviews | 2.8/5 (4) | 3/5 (4) |