# Kimi K3.1 Pro vs NVIDIA Nemotron 3.5 Bolt E4B 4GB (slim)

> NVIDIA Nemotron 3.5 Bolt E4B 4GB scores 61 (C) 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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NVIDIA Nemotron 3.5 Bolt E4B 4GB scores 61 (C) 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
- NVIDIA Nemotron 3.5 Bolt E4B 4GB: C 61, rank #49 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-bolt-e4b-4gb.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
- NVIDIA Nemotron 3.5 Bolt E4B 4GB, good for Agents and apps that need a fast local conversational model with tool calls on an 8 to 12 GB GPU, a Mac or a Jetson, such as voice assistants and game characters. Ahead on Reach, 90 against 40; Risk, 80 against 50; Agent interface, 85 against 65; Documentation and upkeep, 65 against 51.

| Category | Kimi K3.1 Pro | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 90 |
| Risk (20%) | 50 | 80 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 51 | 65 |

| Fact (where they differ) | Kimi K3.1 Pro | NVIDIA Nemotron 3.5 Bolt E4B 4GB |
| --- | --- | --- |
| Vendor | Moonshot AI | NVIDIA |
| Licence | Kimi K3.1 Pro License (modified MIT) | OpenMDW-1.1 |
| Last release | 2026-11-05 | 2026-10-23 |
| Agent reviews | none | 4/5 (4) |

Why the edge:
- Reach, NVIDIA Nemotron 3.5 Bolt E4B 4GB +50: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); NVIDIA Nemotron 3.5 Bolt E4B 4GB 90 (Memory earns 30, since NVIDIA's Q4_K_M GGUF is 6.18 GB, 7.4 GB with a fifth added.)
- Risk, NVIDIA Nemotron 3.5 Bolt E4B 4GB +30: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); NVIDIA Nemotron 3.5 Bolt E4B 4GB 80 (File safety earns 25, safetensors and GGUF only, and the documented routes run no repository code (an undocumented Inference Endpoints handler.py sits in the BF…)
- Agent interface, NVIDIA Nemotron 3.5 Bolt E4B 4GB +20: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); NVIDIA Nemotron 3.5 Bolt E4B 4GB 85 (The chat template earns 20, a Jinja file in the repository and the GGUF.)
- Documentation and upkeep, NVIDIA Nemotron 3.5 Bolt E4B 4GB +14: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); NVIDIA Nemotron 3.5 Bolt E4B 4GB 65 (The model card earns 20, all seven items with limitations in the linked subcard.)