# Devstral Small 2 vs Qwen3-VL-2B-Instruct (slim)

> Devstral Small 2 and Qwen3-VL-2B-Instruct 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.

- Full: https://www.anchorterminal.com/compare/devstral-small-2-vs-qwen3-vl-2b-instruct.md (~9,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/devstral-small-2-vs-qwen3-vl-2b-instruct.json · canonical https://www.anchorterminal.com/compare/devstral-small-2-vs-qwen3-vl-2b-instruct
- 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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Devstral Small 2 and Qwen3-VL-2B-Instruct score within a point of each other on agent readiness, 61 (C) and 61 (C). Qwen3-VL-2B-Instruct 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
- Qwen3-VL-2B-Instruct: C 61, rank #52 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-2b-instruct.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 Risk, 60 against 55; Agent interface, 65 against 60; Documentation and upkeep, 46 against 31.
- Qwen3-VL-2B-Instruct, good for An agent on a laptop or small edge device that needs a local model to read images, documents and video in about 2 GB Ahead on Reach, 95 against 90.

| Category | Devstral Small 2 | Qwen3-VL-2B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 46 | 31 |

| Fact (where they differ) | Devstral Small 2 | Qwen3-VL-2B-Instruct |
| --- | --- | --- |
| Vendor | Mistral AI | Alibaba (Qwen team) |
| Last release | 2026-07-15 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Documentation and upkeep, Devstral Small 2 +15: Devstral Small 2 46 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Qwen3-VL-2B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)
- Reach, Qwen3-VL-2B-Instruct +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.); Qwen3-VL-2B-Instruct 95 (Alibaba's own Q4_K_M GGUF with its vision file is 1.56 GB, so with a fifth added it needs about 1.9 GB and fits well within 16 GB (30).)
- Risk, Devstral Small 2 +5: Devstral Small 2 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Qwen3-VL-2B-Instruct 55 (Safetensors and GGUF only and no code in the repositories, so the FP8 card's trust_remote_code flag runs nothing (25).)
- Agent interface, Devstral Small 2 +5: 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.); Qwen3-VL-2B-Instruct 60 (A Jinja chat template in the repository (20).)