# Agents-A1-4B vs Nemotron 3.5 Lightning 30B A3B (slim)

> Nemotron 3.5 Lightning 30B A3B 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.

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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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Nemotron 3.5 Lightning 30B A3B 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
- Nemotron 3.5 Lightning 30B A3B: B 64.2, rank #21 of 100 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b.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 85.
- Nemotron 3.5 Lightning 30B A3B, good for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence Ahead on Risk, 75 against 55; Agent interface, 90 against 70; Documentation and upkeep, 70 against 43.

| Category | Agents-A1-4B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 55 | 75 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 43 | 70 |

| Fact (where they differ) | Agents-A1-4B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | NVIDIA |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| Last release | 2026-07-14 | 2026-08-11 |
