# GLM-5.3 vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.2 (B) to GLM-5.3's 64.6 (B) 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: 2026-10-21
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Nemotron 3 Super 120B A12B scores 66.2 (B) on agent readiness against GLM-5.3's 64.6 (B), and leads in 4 of 5 scored categories. GLM-5.3 leads on capability. Both do open-weight models you run yourself.

- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Nemotron 3 Super 120B A12B: B 66.2, rank #15 of 100 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-super-120b-a12b.min.md
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Capability, 80 against 54.
- Nemotron 3 Super 120B A12B, good for Agents on a 128 GB unified machine or Blackwell GPUs that want a long-context, tool-calling reasoning model with documented training data Ahead on Reach, 75 against 55; Risk, 65 against 50; Agent interface, 90 against 70; Documentation and upkeep, 65 against 58.

| Category | GLM-5.3 | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | 80 | 54 |
| Reach (25%) | 55 | 75 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 58 | 65 |

| Fact (where they differ) | GLM-5.3 | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | NVIDIA |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | NVIDIA Nemotron Open Model License |
| Last release | 2026-10-14 | 2026-03-11 |