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DeepSeek V3 vs Qwen 3

DeepSeek V3 and Qwen 3 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 3
Product statusStatus not recordedStatus not recorded
VendorDeepSeekAlibaba
Rating★ 4.7★ 4.6
PricingFreeFree
PlatformsModel weights, Self-hosted codeSelf-hosted, Model weights
Key featuresVendor figure: 671B total parameters, Vendor figure: 37B active per token, MIT-licensed repository codeOriginal dense and MoE checkpoints, Thinking-mode control, Downloadable model deployment
Headquarters——
Launched2024—
Open sourceNoYes

Key differences

  • DeepSeek V3 carries the higher editorial score (4.7★ vs 4.6★).
  • Both DeepSeek V3 and Qwen 3 use a Free model.
  • Qwen 3 is open source (its code is public), while DeepSeek V3 is proprietary.
  • DeepSeek V3 runs on Model weights, Self-hosted code; Qwen 3 runs on Self-hosted, Model weights.

DeepSeek V3 and Qwen 3 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 3

Alibaba

Alibaba's original 2025 Qwen3 open-weight family with thinking/non-thinking modes; distinct from Qwen Chat and later Qwen generations.

Rating
4.6★
Pricing
Free

Editorial verdict

Use the exact original checkpoint and its license; confirm cloud access and charges independently.

Strengths

  • Model sizes and deployment examples
  • Explicit thinking-mode settings

Key features

  • Original dense and MoE checkpoints
  • Thinking-mode control
  • Downloadable model deployment

Best for

  • Self-managed text and code experiments
  • Task-specific checkpoint evaluation
Read the full Qwen 3 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 3 also lists: Original dense and MoE checkpoints, Thinking-mode control, Downloadable model deployment

Frequently asked questions

Is DeepSeek V3 or Qwen 3 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 3?

Both DeepSeek V3 and Qwen 3 use a Free pricing model.

Are DeepSeek V3 and Qwen 3 open source?

Qwen 3 is open source, while DeepSeek V3 is proprietary.

What platforms do DeepSeek V3 and Qwen 3 support?

DeepSeek V3 supports Model weights, Self-hosted code; Qwen 3 supports Self-hosted, Model weights.

What are the main features of DeepSeek V3 and Qwen 3?

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 3: Original dense and MoE checkpoints, Thinking-mode control, Downloadable model deployment.

Visit DeepSeek V3 →Visit Qwen 3 →

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