# Ling-3.0-tiny vs Ling-3.1-flash-1019 (slim)

> Ling-3.0-tiny scores 56.2 (C) to Ling-3.1-flash-1019's 54.8 (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-ling-3-1-flash-1019.md (~9,250 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ling-3-1-flash-1019.json · canonical https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ling-3-1-flash-1019
- 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)

Ling-3.0-tiny scores 56.2 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in 2 of 4 scored categories. 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
- Ling-3.1-flash-1019: C 54.8, rank #126 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-1-flash-1019.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 60; Risk, 50 against 45.
- Ling-3.1-flash-1019, good for Teams with a multi-GPU server that want an MIT-licensed flagship for long agent runs and coding

| Category | Ling-3.0-tiny | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 60 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 56 | 56 |

| Fact (where they differ) | Ling-3.0-tiny | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Last release | 2026-08-31 | 2026-11-04 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Ling-3.0-tiny +35: 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.); Ling-3.1-flash-1019 60 (Memory 0, inclusionAI's only build is the FP8 release at 573.78 GB, × 1.2 = 688.5 GB, above 256 GB, and no runtime's library has a build.)
- 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.); Ling-3.1-flash-1019 45 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented vLLM command passes --trust-remote-code, which runs the…)