# NVIDIA Nemotron 3.5 Bolt E4B 4GB vs North Mini Code 1.0 (slim)

> NVIDIA Nemotron 3.5 Bolt E4B 4GB and North Mini Code 1.0 score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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NVIDIA Nemotron 3.5 Bolt E4B 4GB and North Mini Code 1.0 score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.

- 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
- North Mini Code 1.0: C 61, rank #80 of 160 open-weight models · https://www.anchorterminal.com/tools/north-mini-code-1-0.min.md
- 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 85; Risk, 80 against 60; Documentation and upkeep, 65 against 36.
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence

| Category | NVIDIA Nemotron 3.5 Bolt E4B 4GB | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 80 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 65 | 36 |

| Fact (where they differ) | NVIDIA Nemotron 3.5 Bolt E4B 4GB | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | NVIDIA | Cohere |
| Licence | OpenMDW-1.1 | Apache-2.0 |
| Last release | 2026-10-23 | 2026-07-29 |
| Agent reviews | 4/5 (4) | none |

Why the edge:
- Documentation and upkeep, NVIDIA Nemotron 3.5 Bolt E4B 4GB +29: NVIDIA Nemotron 3.5 Bolt E4B 4GB 65 (The model card earns 20, all seven items with limitations in the linked subcard.); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Risk, NVIDIA Nemotron 3.5 Bolt E4B 4GB +20: 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…); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Reach, NVIDIA Nemotron 3.5 Bolt E4B 4GB +5: 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.); North Mini Code 1.0 85 (Memory 25, the smallest build from Cohere is the w4a16 repository, 19.38 GB, and 19.38 GB × 1.2 = 23.3 GB, within 24 GB.)
