# gpt-oss-120b vs Step 3.7 Flash (slim)

> gpt-oss-120b scores 70.2 (BB) 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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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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gpt-oss-120b scores 70.2 (BB) on agent readiness against Step 3.7 Flash's 59.8 (C), and leads in every scored category. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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
- 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 70; Risk, 95 against 45; Agent interface, 90 against 85; Documentation and upkeep, 45 against 39. Also Agent-ready, a grade of BB or better.
- 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

| Category | gpt-oss-120b | Step 3.7 Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 70 |
| Risk (20%) | 95 | 45 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 45 | 39 |

| Fact (where they differ) | gpt-oss-120b | Step 3.7 Flash |
| --- | --- | --- |
| Vendor | OpenAI | StepFun |
| Licence | Apache-2.0 | Apache-2.0 (metadata and card; no LICENSE file) |
| Last release | 2025-08-26 | 2026-06-03 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-120b +50: gpt-oss-120b 95 (File safety earns 25, safetensors only, with metal/model.bin a raw format and not pickle, and nothing from the repository runs on load.); Step 3.7 Flash 45 (File safety 15, safetensors and GGUF only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, gpt-oss-120b +6: gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.); 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.)
- Reach, gpt-oss-120b +5: gpt-oss-120b 75 (Memory earns 10, because the smallest 4-bit build, Ollama's 65 GB gpt-oss:120b, needs about 78 GB with the fifth added, which fits the reference machine but not…); 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…)
- Agent interface, gpt-oss-120b +5: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); Step 3.7 Flash 85 (Chat template 20, chat_template.jinja in the repository (5,723 characters).)