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DeepSeek V3 vs Qwen

DeepSeek V3 and Qwen are both Conversational AI tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeDeepSeek V3Qwen
Product statusStatus not recordedStatus not recorded
VendorDeepSeekAlibaba Cloud
Rating★ 4.7★ 4.6
PricingFreeFree
PlatformsModel weights, Self-hosted codeWeb, Mobile
Key featuresVendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository codeConversational assistant interface, Search documented in the 2025 Chat announcement, Artifacts documented in the 2025 Chat announcement
Headquarters——
Launched2024—
Open sourceNoNo

Key differences

  • DeepSeek V3 carries the higher editorial score (4.7★ vs 4.6★).
  • Both DeepSeek V3 and Qwen use a Free model.
  • DeepSeek V3 runs on Model weights, Self-hosted code; Qwen runs on Web, Mobile.

DeepSeek V3 and Qwen at a glance

DeepSeek V3

DeepSeek

Original 2024 DeepSeek-V3 Base/Chat weights and code: vendor-documented MoE architecture, MIT code and a separate model license; current hosted V3 access is unconfirmed.

Rating
4.7★
Pricing
Free

Editorial verdict

Evaluate original V3 as a specific downloadable release with separate code and weight licenses; verify infrastructure and any hosted version instead of borrowing today's API price or a frontier-quality claim.

Strengths

  • Published original Base/Chat weights and technical materials
  • Vendor-documented MoE architecture
  • Code and model-license documents available for review

Key features

  • Vendor figure: 671B total parameters
  • Vendor figure: 37B active per token
  • MIT-licensed repository code
  • Weights follow LICENSE-MODEL
  • Runtime costs depend on deployment

Best for

  • Pinned-release model research
  • License-aware self-hosting evaluation
  • Historical API and model migration inventory
Read the full DeepSeek V3 review →

Qwen

Alibaba Cloud

Alibaba's hosted Qwen Chat assistant; the chat application, Model Studio API and downloadable Qwen models have separate access, pricing and licensing conditions.

Rating
4.6★
Pricing
Free

Editorial verdict

Treat Qwen Chat as a hosted application. Confirm its actual account features and price; evaluate Model Studio billing and downloadable-model licenses separately.

Strengths

  • Official materials distinguish Chat from developer API access
  • Dated documentation describes search and artifacts
  • A separately licensed model route exists for deployment evaluation

Key features

  • Conversational assistant interface
  • Search documented in the 2025 Chat announcement
  • Artifacts documented in the 2025 Chat announcement
  • Web and mobile entry points

Best for

  • Reviewable conversational drafting
  • Checking search references from a supported account workflow
  • Comparing hosted chat, API integration and model deployment requirements
Read the full Qwen review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • DeepSeek V3 also lists: Vendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository code, Weights follow LICENSE-MODEL, Runtime costs depend on deployment
  • Qwen also lists: Conversational assistant interface, Search documented in the 2025 Chat announcement, Artifacts documented in the 2025 Chat announcement, Web and mobile entry points

Frequently asked questions

Is DeepSeek V3 or Qwen better?

By editorial score, DeepSeek V3 scores higher (4.7★ vs 4.6★). Both are capable Conversational AI tools, so review the feature comparison for your use case.

Which is cheaper, DeepSeek V3 or Qwen?

Both DeepSeek V3 and Qwen use a Free pricing model.

Are DeepSeek V3 and Qwen open source?

No — neither DeepSeek V3 nor Qwen is open source.

What platforms do DeepSeek V3 and Qwen support?

DeepSeek V3 supports Model weights, Self-hosted code; Qwen supports Web, Mobile.

What are the main features of DeepSeek V3 and Qwen?

DeepSeek V3: Vendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository code, Weights follow LICENSE-MODEL, Runtime costs depend on deployment. Qwen: Conversational assistant interface, Search documented in the 2025 Chat announcement, Artifacts documented in the 2025 Chat announcement, Web and mobile entry points.

Visit DeepSeek V3 →Visit Qwen →

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