# Agents-A1-4B vs Inkling (slim)

> Inkling scores 64.2 (B) to Agents-A1-4B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/agents-a1-4b-vs-inkling.md (~5,800 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/agents-a1-4b-vs-inkling.json · canonical https://www.anchorterminal.com/compare/agents-a1-4b-vs-inkling
- 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)

Inkling scores 64.2 (B) on agent readiness against Agents-A1-4B's 61 (C), and leads in 3 of 4 scored categories. Agents-A1-4B leads on reach. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- Inkling: B 64.2, rank #20 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling.min.md
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 50.
- 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 Risk, 70 against 55; Agent interface, 85 against 70; Documentation and upkeep, 82 against 43.

| Category | Agents-A1-4B | Inkling |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 82 |

| Fact (where they differ) | Agents-A1-4B | Inkling |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Thinking Machines Lab |
| Last release | 2026-07-14 | 2026-07-23 |