# Ling-3.0-tiny vs Qwen3-VL-8B-Instruct (slim)

> Ling-3.0-tiny and Qwen3-VL-8B-Instruct score within a point of each other for open-weight models you run yourself, 55 and 54.9 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-8b-instruct.md (~6,350 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-8b-instruct.json · canonical https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-8b-instruct
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Ling-3.0-tiny and Qwen3-VL-8B-Instruct score within a point of each other on agent readiness, 55 (C) and 54.9 (C). Qwen3-VL-8B-Instruct leads on reach and risk. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- Qwen3-VL-8B-Instruct: C 54.9, rank #82 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-8b-instruct.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 Documentation and upkeep, 56 against 31.
- Qwen3-VL-8B-Instruct, good for An agent with 8 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 100 against 90; Risk, 55 against 50.

| Category | Ling-3.0-tiny | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Capability (35%) | 31 | 28 |
| Reach (25%) | 90 | 100 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 56 | 31 |

| Fact (where they differ) | Ling-3.0-tiny | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-31 | 2025-11-01 |