# GLM-5.3-Flash vs gpt-oss-120b (slim)

> gpt-oss-120b scores 70.2 (BB) to GLM-5.3-Flash's 65.1 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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gpt-oss-120b scores 70.2 (BB) on agent readiness against GLM-5.3-Flash's 65.1 (B), and leads in 3 of 5 scored categories. GLM-5.3-Flash leads on capability and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #16 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.min.md
- gpt-oss-120b: BB 70.2, rank #6 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.min.md
- GLM-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider Ahead on Capability, 75 against 54; Documentation and upkeep, 58 against 45.
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Reach, 75 against 60; Risk, 95 against 55; Agent interface, 90 against 70. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.5 against 2.8 out of 5.

| Category | GLM-5.3-Flash | gpt-oss-120b |
| --- | --- | --- |
| Capability (35%) | 75 | 54 |
| Reach (25%) | 60 | 75 |
| Risk (20%) | 55 | 95 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 58 | 45 |

| Fact (where they differ) | GLM-5.3-Flash | gpt-oss-120b |
| --- | --- | --- |
| Vendor | Z.ai | OpenAI |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-26 | 2025-08-26 |
| Agent reviews | 2.8/5 (4) | 3.5/5 (4) |