# Kimi K3.1 Pro vs Nemotron 3.5 Lightning 30B A3B (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) to Kimi K3.1 Pro's 48.6 (D) 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: 2026-11-10
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Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in every scored category. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- Nemotron 3.5 Lightning 30B A3B: B 64.7, rank #20 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b.min.md
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API
- 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 Reach, 85 against 40; Risk, 75 against 50; Agent interface, 90 against 65; Documentation and upkeep, 75 against 51.

| Category | Kimi K3.1 Pro | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 85 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 65 | 90 |
| Documentation and upkeep (10%) | 51 | 75 |

| Fact (where they differ) | Kimi K3.1 Pro | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Vendor | Moonshot AI | NVIDIA |
| Licence | Kimi K3.1 Pro License (modified MIT) | OpenMDW-1.1 |
| Last release | 2026-11-05 | 2026-08-11 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Nemotron 3.5 Lightning 30B A3B +45: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); Nemotron 3.5 Lightning 30B A3B 85 (Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added.)
- Risk, Nemotron 3.5 Lightning 30B A3B +25: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); Nemotron 3.5 Lightning 30B A3B 75 (File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output.)
- Agent interface, Nemotron 3.5 Lightning 30B A3B +25: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); Nemotron 3.5 Lightning 30B A3B 90 (The chat template earns 20, a Jinja file in the repository.)
- Documentation and upkeep, Nemotron 3.5 Lightning 30B A3B +24: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); Nemotron 3.5 Lightning 30B A3B 75 (The model card earns 20, all seven items with limitations in the linked subcard.)