# GLM-5.3-Flash vs Step 3.7 Flash (slim)

> GLM-5.3-Flash scores 65.1 (B) to Step 3.7 Flash's 59.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-5.3-Flash scores 65.1 (B) on agent readiness against Step 3.7 Flash's 59.8 (C), and leads in 2 of 4 scored categories. Step 3.7 Flash leads on reach and agent interface. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #18 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.min.md
- Step 3.7 Flash: C 59.8, rank #93 of 160 open-weight models · https://www.anchorterminal.com/tools/step-3-7-flash.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 Risk, 55 against 45; Documentation and upkeep, 58 against 39.
- Step 3.7 Flash, good for Teams with a GPU server or a provider account that want an open, long-context agent model with vision Ahead on Reach, 70 against 60; Agent interface, 85 against 70.

| Category | GLM-5.3-Flash | Step 3.7 Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 70 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 58 | 39 |

| Fact (where they differ) | GLM-5.3-Flash | Step 3.7 Flash |
| --- | --- | --- |
| Vendor | Z.ai | StepFun |
| Licence | MIT | Apache-2.0 (metadata and card; no LICENSE file) |
| Last release | 2026-08-26 | 2026-06-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, GLM-5.3-Flash +19: GLM-5.3-Flash 58 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 5, a 30T-token corpus described with no sourc…); Step 3.7 Flash 39 (Model card 14, Intended use, the architecture, the parameters, the context and the language (in the metadata) are on the card.)
- Agent interface, Step 3.7 Flash +15: GLM-5.3-Flash 70 (A Jinja chat template sits in both repositories, for 20. The tool-calling format is 10, because it is defined only by the template and the glm47 parser is named…); Step 3.7 Flash 85 (Chat template 20, chat_template.jinja in the repository (5,723 characters).)
- Reach, Step 3.7 Flash +10: GLM-5.3-Flash 60 (Memory earns nothing, since Z.ai's smallest build is the 328.4 GB FP8 one, about 394 GB with the fifth added, and neither Ollama nor LM Studio has a local build…); Step 3.7 Flash 70 (Memory 5, the smallest build at 4 bits is StepFun's IQ4_XS GGUF, 104.99 GB with the 3.97 GB projector, and 108.96 GB × 1.2 = 130.8 GB, over what the reference m…)
- Risk, GLM-5.3-Flash +10: GLM-5.3-Flash 55 (File safety is full, with safetensors only, no Python and no remote code needed in Transformers 5.16.1 or later.); Step 3.7 Flash 45 (File safety 15, safetensors and GGUF only, no .bin, .pt or .pth files (25).)