LLMs & Assistants
Microsoft Copilot vs Qwen.
Both sit in LLMs & Assistants, scored on the same six pillars from the same published methodology. Here is where they actually differ.
The short answer
Microsoft Copilot scores higher — 87.0 against 84.1, a margin of 2.9 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.
Microsoft Copilot leads on security & compliance, maturity & reliability and integrations & ecosystem; Qwen leads on value for money and momentum.
Microsoft
87.0
Excellent
AI assistant woven through Windows, Microsoft 365 and Edge.
- From
- Free / $30 per user per month (M365)
- Pricing
- Freemium
- Maturity
- Mature
- Founded
- 2023
Alibaba Cloud
84.1
Excellent
Alibaba's open-weight LLM family, strong on code, math, and agentic tasks
- From
- Free (open-weight, self-hosted) / API from ~$0.05 per 1M input tokens
- Pricing
- Freemium
- Maturity
- Established
- Founded
- 2023
Pillar by pillar
The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.
Capability
Level
Value for Money
Qwen by 12
Security & Compliance
Microsoft Copilot by 24
Integrations & Ecosystem
Microsoft Copilot by 9
Maturity & Reliability
Microsoft Copilot by 12
Momentum
Qwen by 8
Which one, and when
Pick Microsoft Copilot if
- →compliance and data control decide it — it leads Security & Compliance by 24 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 12 points.
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 9 points.
- →Microsoft 365 organizations
- →Enterprise rollouts needing compliance
- →Productivity in Office workflows
The catch
- Best value only inside the Microsoft ecosystem
- M365 Copilot seat cost adds up org-wide
Pick Qwen if
- →cost per unit of output is the binding constraint — it leads Value for Money by 12 points.
- →where the product will be in a year matters as much as today — it leads Momentum by 8 points.
- →Developers wanting low-cost, self-hostable open-weight LLMs for coding and agentic workflows
- →Enterprises needing multilingual, multimodal models via a single unified API
- →Cost-sensitive production deployments seeking frontier-adjacent performance at a fraction of Western model pricing
The catch
- Newer flagship tiers (Qwen3.6/3.7-Max) have shifted to closed weights, limiting self-hosting for the most capable models
- Some large models use the more restrictive Tongyi Qianwen License rather than Apache 2.0, with commercial caps tied to MAU thresholds
What each is good at
Microsoft Copilot
- ✓Deep integration across the Microsoft stack
- ✓Enterprise security, compliance and admin controls
- ✓Grounded in your organization's documents and mail
Qwen
- ✓Aggressive price-to-performance with open-weight Apache 2.0 models that can be self-hosted at zero per-token cost
- ✓Strong, frequently-updated coding and agentic performance, including high SWE-bench Verified scores
- ✓Broad model catalogue spanning text, vision, audio, coding and embeddings under one API
Other comparisons in LLMs & Assistants
Comparing something else? Build your own side-by-side across any tools in the catalog.