GPT-5.6 Sol vs Qwen3.7 Max for workflow automation
GPT-5.6 Sol wins, 92–83
Same 12 workflow automation tasks, marked blind by three rival labs. GPT-5.6 Sol took 8 tasks, Qwen3.7 Max took 0, 4 tied. Tested 18 Aug 2026.
Where they differed most
A veterinary practice wants new client registrations from its website to appear in its practice management system. The vendor confirms there is no API, no webhook and no supported import; the system is a Windows desktop application with a shared database file the vendor's contract forbids writing to directly. Set out the realistic options — including screen automation, a supported export/import if one exists, pressing the vendor, a staffed 'copy it across' step, and doing nothing — and for each one give the honest risk: what breaks it, what it costs when it breaks, and who is liable when the wrong data lands in a clinical record. Then make a recommendation and say what would change your mind.
There is no genuinely robust “integration” path if the PMS has no API, webhook, or supported import. The choice is therefore between a controlled operational process, a brittle workaround, waiting for the vendor, or not offering online registration. ## Realistic options | Option | What breaks it | Cost when it breaks | Likely responsibility when wrong data reaches a clinical record | |---|---|---|---| | **1. Supported export/import, if any supported route exists** | File format or mandatory fields change; duplicate-matching rules are poor; im…
Integrating web data into legacy, closed-ecosystem Practice Management Systems (PMS) is one of the most common and frustrating challenges in veterinary technology. Because the vendor has locked down the API, webhooks, and direct database writes, you are dealing with a "walled garden." Here is an honest, pragmatic breakdown of your realistic options, the risks involved, and a final recommendation. --- ### 1. Screen Automation (Robotic Process Automation / UI Scripting) You use a tool (like UiPath, AutoHotkey, or a custom Python/Selenium scri…
Task by task
| Task | GPT-5.6 Sol | Qwen3.7 Max |
|---|---|---|
| The MOT reminder nobody sends | 9 | 8 |
| The spec, as JSON | 9 | 8 |
| Where the human stays | 9 | 8 |
| The unhappy paths are the job | 9 | 9 |
| Do not automate this | 9 | 9 |
| It fired twice | 9 | 9 |
| The spreadsheet that runs the business | 9 | 8 |
| The alert that wakes someone up | 10 | 9 |
| How long it really takes | 9 | 8 |
| No API, no chance? | 10 | 8 |
| Rules, not guesses | 8 | 8 |
| Refuse the scraper | 10 | 8 |
Full receipts: GPT-5.6 Sol, Qwen3.7 Max · judges claude-sonnet-5, gemini-3.1-pro-preview, grok-4.5
Questions people ask
Which is better for workflow automation: GPT-5.6 Sol or Qwen3.7 Max?
GPT-5.6 Sol — it scored 92/100 against 83/100 on our 12-task workflow automation suite, winning 8 tasks to 0 with 4 tied. Every answer was marked blind by three judges from three rival AI labs.
How was this tested?
Both models answered the identical published workflow automation tasks. Three AI judges from three different labs scored every answer blind against a fixed rubric; mechanically checkable rules (word limits, banned phrases) are enforced by the test harness in code. The raw outputs and judge verdicts are downloadable.
More workflow automation head-to-heads: GPT-5.3-Codex vs GPT-5.6 Sol · GPT-5.6 Sol vs GPT-5.6 Terra · GPT-5.6 Luna vs GPT-5.6 Sol · Claude Sonnet 5 vs GPT-5.6 Sol · GPT-5.5 vs GPT-5.6 Sol · GPT-5.6 Sol vs Grok 4.5
Full ranking: Best AI for workflow automation · model pages: GPT-5.6 Sol, Qwen3.7 Max