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Qwen deployment comparison: Ollama vs vLLM vs MLX

The Qwen deployment comparison analyzes the trade-offs between Ollama, vLLM, and MLX when running the Qwen 3.6 27B model, particularly for Coding Agent workflows^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

High-Level Comparison

Feature Ollama vLLM MLX
Qwen 3.6 27B Support ❌ No (Only 35B A3B1)^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] ✅ Full Support^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] ⏳ Upcoming^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md]
Setup Difficulty ⭐ Simple^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] ⭐⭐ Moderate^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] ⭐⭐ Moderate^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md]
Recommended Scenario Quick trial / Not strict on 27B^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] Formal Agent Workflows^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md] Apple Silicon Native^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md]

Deployment Specifics

Ollama

Ollama is the simplest option for getting started, but as of the documented date (2026-04-23), it does not support the 27B model variant^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

  • Availability: Only the 35B A3B1 variant is available^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].
  • Use Case: Best for users who want a quick trial and are not specifically focused on the 27B parameter architecture^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

vLLM

vLLM is the current best choice for deploying Qwen 3.6 27B, especially for Agentic Coding tasks^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md]. It offers full support and compatibility with major agent frameworks like Hermes Agent.

To utilize the model's capabilities (especially native tool calling), specific flags are required^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md]:

vllm serve Qwen/Qwen3-27B \
  --port 8000 \
  --tensor-parallel-size 1 \
  --max-model-len 32768 \
  --enable-auto-tool-choice \
  --tool-call-parser qwen3

Critical Parameters

  • --enable-auto-tool-choice: Must be enabled. Without this, the model will only describe tool usage ("text") rather than executing the tool calls^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].
  • --max-model-len: Should be set to the maximum hardware-allowed value. Long context is a core advantage of Qwen 3.6^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].
  • --tool-call-parser: Must be set to qwen3 to match the model version format^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

MLX

MLX is intended for Apple Silicon users who want to run models natively on Mac hardware^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

  • Status: Support for Qwen 3.6 27B is upcoming^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

Summary & Recommendations

  • For Qwen 3.6 27B: Use vLLM. It is currently the only option that fully supports this specific model variant with the necessary features for coding agents^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].
  • For Quick Testing: Ollama (if using the 35B A3B1 variant is acceptable)^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].
  • For Mac Users: Wait for MLX support^[001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md].

Sources

  • 001-TODO__Qwen_3.6_27B_—_面向_Coding_Agent_的开源模型.md