# Devstral Small 2 vs Nemotron 3 Nano Omni 30B A3B Reasoning (slim)

> Nemotron 3 Nano Omni 30B A3B Reasoning and Devstral Small 2 score within a point of each other for open-weight models you run yourself, 61.2 and 61 out of 100. 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 Nano Omni 30B A3B Reasoning and Devstral Small 2 score within a point of each other on agent readiness, 61.2 (C) and 61 (C). Devstral Small 2 leads on reach. Both do open-weight models you run yourself.

- Devstral Small 2: C 61, rank #60 of 160 open-weight models · https://www.anchorterminal.com/tools/devstral-small-2.min.md
- Nemotron 3 Nano Omni 30B A3B Reasoning: C 61.2, rank #36 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning.min.md
- Devstral Small 2, good for Developers who want a dependable local coding agent on one consumer GPU or a 32 GB Mac Ahead on Reach, 90 against 85.
- Nemotron 3 Nano Omni 30B A3B Reasoning, good for Agents with a 32 to 48 GB NVIDIA GPU that need one local model to read video, audio, documents and screens and call tools Ahead on Agent interface, 90 against 65; Documentation and upkeep, 70 against 46.

| Category | Devstral Small 2 | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 60 | 60 |
| Agent interface (10%) | 65 | 90 |
| Documentation and upkeep (10%) | 46 | 70 |

| Fact (where they differ) | Devstral Small 2 | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Vendor | Mistral AI | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Open Model Agreement (custom, commercial use allowed, not an OSI licence) |
| Last release | 2026-07-15 | 2026-08-24 |
| Terms last updated | no document linked | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, Nemotron 3 Nano Omni 30B A3B Reasoning +25: Devstral Small 2 65 (Chat template 20, chat_template.jinja in the repository (11,362 characters), with the tokenizer's tekken file for mistral-common.); Nemotron 3 Nano Omni 30B A3B Reasoning 90 (A Jinja template ships in the repository (20).)
- Documentation and upkeep, Nemotron 3 Nano Omni 30B A3B Reasoning +24: Devstral Small 2 46 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Nemotron 3 Nano Omni 30B A3B Reasoning 70 (The card covers all seven fields, reading the 2019 to 2025 data collection period as the cut-off (20).)
- Reach, Devstral Small 2 +5: Devstral Small 2 90 (Memory 25, the smallest build at 4 bits from a runtime's own library is Ollama's devstral-small-2 at Q4_K_M, 15 GB, and 15 GB × 1.2 = 18 GB, within 24 GB.); Nemotron 3 Nano Omni 30B A3B Reasoning 85 (Memory earns 20 because the smallest 4-bit builds, Ollama's NVFP4 at 21 GB and NVIDIA's NVFP4 at 22.4 GB, need about 25 to 27 GB with the fifth added, which fit…)