# Swimlane Turbine vs Torq: which do AI models recommend for SOAR, October 2026

IT AI Recommendation Index, October 2026 Edition, SOAR platforms. Five of fourteen models named Swimlane Turbine first on the direct prompt; four named Torq. Page: https://it-ai-index.com/security/soar-platforms/swimlane-turbine-vs-torq/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Swimlane Turbine | 11% | #3 of 11 | 0% | 34 | 13 of 14 |
| Torq | 8% | #4 of 11 | 10% | 30 | 13 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: both first (first choices: Swimlane Turbine, Torq) (alternatives: Cortex XSOAR, FortiSOAR, Splunk SOAR, Tines)
- Mistral Small: both first (first choices: Swimlane Turbine, Torq) (alternatives: Microsoft Sentinel, Splunk SOAR, Tines)
- Muse Glimmer 30B: both first (first choices: Swimlane Turbine, Tines, Torq) (alternatives: Cortex XSOAR, Microsoft Sentinel, Splunk SOAR)
- Grok 4.1 Fast: swimlane turbine first (first choices: Swimlane Turbine) (alternatives: Microsoft Sentinel, Rapid7 InsightConnect)
- MiniMax M2.5: swimlane turbine first (first choices: Swimlane Turbine) (alternatives: FortiSOAR, Microsoft Sentinel, Splunk SOAR, Torq)
- GPT-5.4 mini: torq first (first choices: Tines, Torq) (alternatives: Cortex XSOAR, Microsoft Sentinel, Splunk SOAR)
- Gemini 3.5 Flash: neither first, one named (first choices: Tines) (alternatives: BlinkOps, Radiant Security, Swimlane Turbine, Torq)
- DeepSeek V4 Flash: neither first, one named (first choices: Tines) (alternatives: Microsoft Sentinel, Rapid7 InsightConnect, Swimlane Turbine)
- Qwen 3.7 Flash: neither first, one named (first choices: Tines) (alternatives: Microsoft Sentinel, Swimlane Turbine)
- Kimi K2: neither first, one named (first choices: Tines) (alternatives: Microsoft Sentinel, Rapid7 InsightConnect, Swimlane Turbine, Torq)
- GLM 4.7 FlashX: neither first, one named (first choices: Cortex XSOAR, Tines) (alternatives: Microsoft Sentinel, Splunk SOAR, Swimlane Turbine)
- Perplexity Sonar: neither named (first choices: D3 Security Smart SOAR) (alternatives: ManageEngine Log360, ThreatConnect)
- Llama 4 Maverick: neither named (first choices: Tines)
- GPT-6 Luna: neither named (first choices: Tines) (alternatives: Cortex XSOAR, Microsoft Sentinel's built-in automation, Splunk SOAR)

## What the models said about Swimlane Turbine

- "Start with Swimlane if you want vendor-agnostic, growing SOC focus—it's highlighted in multiple mid-market comparisons for balance." (Grok 4.1 Fast, direct prompt, first choice)
- "Often highlighted as a strong option for mid-market organizations due to its strong case management, extensive integrations" (MiniMax M2.5, direct prompt, first choice)
- "I'd lean toward Rapid7 InsightConnect or Swimlane Turbine as they're specifically optimized for mid-market teams" (Claude Haiku 4.5, paraphrase prompt, first choice)

## What the models said about Torq

- "Probably NOT for Mid-Market - Torq HyperSOC — Priced at ~$450K/year, clearly enterprise-tier." (DeepSeek V4 Flash, direct prompt, hard negative)
- "Torq\u2019s pricing trends higher, making Blink Ops often more accessible for mid-market budgets" (Gemini 3.5 Flash, paraphrase prompt, soft negative)
- "Enterprise tools like Splunk/Torq often bundle but exceed budgets (~$30K+/year)" (Grok 4.1 Fast, budget prompt, soft negative)
- "Torq and Swimlane Turbine are the top choices due to their scalability, ease of use, and strong feature sets tailored to mid-market needs." (Mistral Small, direct prompt, first choice)
- "Look for "No-Code" or "Low-Code" modern automation platforms (such as Tines or Torq) over traditional "heavy" SOARs." (Gemini 3.5 Flash, scale prompt, first choice)
- "Mid-market wanting fast time-to-value with low-code and AI triage: Torq, Swimlane Turbine or Tines" (Muse Glimmer 30B, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.