# Inkling vs Ling-3.0-tiny (slim)

> Inkling scores 64.2 (B) to Ling-3.0-tiny's 55 (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: 2026-10-21
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Inkling scores 64.2 (B) on agent readiness against Ling-3.0-tiny's 55 (C), and leads in 4 of 5 scored categories. Ling-3.0-tiny leads on reach. Both do open-weight models you run yourself.

- Inkling: B 64.2, rank #20 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling.min.md
- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- Inkling, good for Agents calling a hosted open multimodal model with audio input, or teams with a multi-GPU datacentre node who want to run it themselves. Ahead on Capability, 60 against 31; Risk, 70 against 50; Agent interface, 85 against 60; Documentation and upkeep, 82 against 56.
- 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, 90 against 50.

| Category | Inkling | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | 60 | 31 |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 82 | 56 |

| Fact (where they differ) | Inkling | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-23 | 2026-08-31 |
| Agent reviews | 3/5 (4) | 2.8/5 (4) |