# Darwin-36B-Opus vs Qwen3-VL-4B-Instruct (slim)

> Darwin-36B-Opus scores 61 (C) to Qwen3-VL-4B-Instruct's 52.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-vl-4b-instruct.md (~6,350 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-vl-4b-instruct.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-vl-4b-instruct
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Darwin-36B-Opus scores 61 (C) on agent readiness against Qwen3-VL-4B-Instruct's 52.6 (D), and leads in 2 of 4 scored categories. Qwen3-VL-4B-Instruct leads on reach. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #37 of 100 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.min.md
- Qwen3-VL-4B-Instruct: D 52.6, rank #84 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct.min.md
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Agent interface, 70 against 60; Documentation and upkeep, 51 against 31.
- Qwen3-VL-4B-Instruct, good for An agent with 4 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 95 against 80.

| Category | Darwin-36B-Opus | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 95 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 51 | 31 |

| Fact (where they differ) | Darwin-36B-Opus | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Alibaba (Qwen team) |
| Last release | 2026-04-23 | 2025-11-01 |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |