# Ling-3.0-tiny vs Step 3.7 Flash (slim)

> Step 3.7 Flash scores 59.8 (C) to Ling-3.0-tiny's 56.2 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-step-3-7-flash.md (~9,650 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-step-3-7-flash.json · canonical https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-step-3-7-flash
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Step 3.7 Flash scores 59.8 (C) on agent readiness against Ling-3.0-tiny's 56.2 (C), and leads in 1 of 4 scored categories. Ling-3.0-tiny leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 56.2, rank #117 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.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
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 95 against 70; Risk, 50 against 45; Documentation and upkeep, 56 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 Agent interface, 85 against 60.

| Category | Ling-3.0-tiny | Step 3.7 Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 70 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 56 | 39 |

| Fact (where they differ) | Ling-3.0-tiny | Step 3.7 Flash |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | StepFun |
| Licence | MIT | Apache-2.0 (metadata and card; no LICENSE file) |
| Last release | 2026-08-31 | 2026-06-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Ling-3.0-tiny +25: Ling-3.0-tiny 95 (Memory earns the full 30, since inclusionAI's own Q4_K_M GGUF is 4.8 GB, about 6 GB with a fifth added.); 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, Step 3.7 Flash +25: Ling-3.0-tiny 60 (Chat template 20, a Jinja file in the repository.); Step 3.7 Flash 85 (Chat template 20, chat_template.jinja in the repository (5,723 characters).)
- Documentation and upkeep, Ling-3.0-tiny +17: Ling-3.0-tiny 56 (Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.); 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.)
- Risk, Ling-3.0-tiny +5: Ling-3.0-tiny 50 (File safety gets 15, safetensors and GGUF only, but the card's vLLM command runs the repository's config code with --trust-remote-code.); Step 3.7 Flash 45 (File safety 15, safetensors and GGUF only, no .bin, .pt or .pth files (25).)