Qwen has the strongest current score signal; check the fit rows before treating that as universal.
Try Qwen free Comparison DeepSeekQwen
DeepSeek vs Qwen
Verified April 30, 2026 No paid ranking Source-backed comparison
Decision first
Split decision
There is no universal winner. Use the score spread, price signals, and latest product changes below before choosing.
Winner by use case
Most people 
Qwen Qwen has the strongest current score signal; check the fit rows before treating that as universal. Budget or free tier 
DeepSeek Free (chat) / Usage-based (API from $0.28/M tokens). Best paid tier: API is the buyer path for production use;... developers seeking low-cost API access DeepSeek Open-weight Chinese LLM lab offering frontier reasoning and chat at fractions of OpenAI frontier-model pricing.
DeepSeek Free (chat) / Usage-based (API from $0.28/M tokens). Best paid tier: API is the buyer path for production use;... developers seeking low-cost API access DeepSeek Open-weight Chinese LLM lab offering frontier reasoning and chat at fractions of OpenAI frontier-model pricing. DeepSeek 7.8/10 Winner by use case
Choose faster
DeepSeek Free (chat) / Usage-based (API from $0.28/M tokens). Best paid tier: API is the buyer path for production use;...
Review DeepSeek DeepSeek Open-weight Chinese LLM lab offering frontier reasoning and chat at fractions of OpenAI frontier-model pricing.
Review DeepSeek DeepSeek Open-weight Chinese LLM lab offering frontier reasoning and chat at fractions of OpenAI frontier-model pricing.
Review DeepSeekAlibaba Cloud's open-weight LLM family. Qwen3.6 Plus (Apr 2, 2026) is the 1M-context proprietary flagship;...
Review QwenVerdict
Split decision
There is no universal winner. Use the score spread, price signals, and latest product changes below before choosing.
Open Qwen reviewScore race
DeepSeek Qwen
9/10
Utility
9/10
10/10
Value
10/10
5/10
Moat
5/10
7/10
Longevity
8/10
Buyer fit
Choose DeepSeek when
- Role Open-weight Chinese LLM lab offering frontier reasoning and chat at fractions of OpenAI frontier-model pricing.
- Pick developers seeking low-cost API access
- Pick math and coding tasks requiring reasoning
- Pick self-hosters running open weights locally
- Price Free (chat) / Usage-based (API from $0.28/M tokens). Best paid tier: API is the buyer path for production use; cache-heavy workloads benefit most from DeepSeek pricing
- Skip enterprise buyers needing SOC 2 / GDPR assurances
- Skip users who prefer a polished consumer product
Buyer fit
Choose Qwen when
- Role Alibaba Cloud's open-weight LLM family. Qwen3.6 Plus (Apr 2, 2026) is the 1M-context proprietary flagship; Qwen3.6-35B-A3B (Apr 16, 2026) is the open-source sparse MoE with 3B active params under Apache 2.0.
- Pick multilingual products across 119 languages
- Pick developers wanting open weights for self-hosting
- Pick coding, math, and agentic workloads
- Price Free (open weights) / API from ~$0.15/M tokens
- Skip users wanting a polished consumer chat app
- Skip teams needing strict Western data residency on hosted API
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Canonical facts
At a Glance
Volatile details are generated from each tool page so model names, context windows, pricing, and capability rows update site-wide from one source.
DeepSeek- Flagship / model
- Qwen
- Best paid tier / price
- Free (open weights) / API from ~$0.15/M tokens
DeepSeek and Qwen are open-weight AI models from Chinese developers, available via APIs and local deployment as of April 2026. DeepSeek V3.2 leads in cost efficiency for high-volume tasks, while Qwen 3.5 offers balanced performance across reasoning and multilingual use.
Quick Answer
Qwen 3.5 edges out for general workflows with stronger multilingual support and agentic tasks; DeepSeek V3.2 wins for developers needing low-cost, high-throughput inference.
|---|---|---| | Flagship | V3.2 | 3.5 | | Price | $0.14 / $0.28 per million input / output tokens | | Context Window | 128K tokens | 128K tokens | | Best For | Cost-sensitive coding, math tasks | Multilingual chat, agentic reasoning |
Where DeepSeek Wins
- Lower pricing at $0.14 input, $0.28 output per million tokens supports high-volume use without budget strain.
- Excels in math and coding benchmarks, matching proprietary models at a fraction of the cost.
- Fully open-weight release enables local deployment on consumer hardware for privacy-focused users.
- Efficient inference speed suits real-time applications like code completion.
- Strong Chinese language handling rivals Qwen at lower rates.
Where Qwen Wins
- Released February 2026 with improvements in multi-step reasoning and large-context tasks.[1]
- Better multilingual performance across 29 languages, ideal for global teams.
- Higher benchmark scores in agentic work and content generation.
- Integrated API ecosystem from Alibaba simplifies enterprise scaling.
- 1M token effective context in practice for document analysis.
Key Differences
DeepSeek V3.2 prioritizes cost and efficiency, with pricing 3-4x lower than Qwen 3.5, making it preferable for compute-heavy tasks like batch processing or fine-tuning.[1] Qwen 3.5, from Alibaba, delivers superior reasoning and handles complex, multi-turn conversations better, though at higher token rates of $0.30 input and $0.90 output per million.[1] Both support 128K context windows standard, but Qwen extends to longer contexts reliably; DeepSeek runs faster on optimized hardware.
Who should choose DeepSeek
Choose DeepSeek for cost-driven projects, coding assistance, or math-heavy workloads where every token counts. Developers deploying locally or running high-throughput APIs benefit most.
Who should choose Qwen
Choose Qwen for multilingual applications, agentic systems, or tasks needing nuanced reasoning. Teams integrated with Alibaba Cloud or handling diverse languages find it more capable.
Bottom Line
DeepSeek V3.2 suits budget-conscious users and specialized compute tasks; Qwen 3.5 fits broader chat and reasoning needs despite higher costs. Test both via APIs for your workflow, as open-weight access allows direct comparison.
FAQ
Which is cheaper?
DeepSeek V3.2, at $0.14/$0.28 per million input/output tokens versus Qwen 3.5’s $0.30/$0.90.[1]
Which has better output quality?
Qwen 3.5 leads in reasoning and agentic benchmarks; DeepSeek V3.2 matches or exceeds in math and code.[1]
Can I use both?
Yes, both offer open-weight downloads and APIs; many workflows route tasks by type, like code to DeepSeek and chat to Qwen.
Sources
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