Pick DeepSeek V4-Pro for open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable or 1m-token context with up to 384k output tokens. Pick Qwen 3.6 Plus for strong gpqa diamond science reasoning or open-weight and budget-friendly. Choose DeepSeek V4-Pro if you need self-hosting or data privacy; Qwen 3.6 Plus if you want a managed API.
DeepSeek V4-Pro (DeepSeek) and Qwen 3.6 Plus (Alibaba) are two of the models people most often weigh against each other in 2026. DeepSeek V4-Pro is deepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. Qwen 3.6 Plus is alibaba's open-weight contender — surprising benchmark wins at a budget price. They diverge most on price and open vs. closed weights — each quantified below from the models' real specs.
Key differences
Price: Qwen 3.6 Plus is about 1.3× cheaper on input ($0.325/$1.95 per 1M tokens vs $0.435/$0.87 per 1M tokens) — modest, but it adds up at steady volume.
Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: DeepSeek V4-Pro is the newer model by about 24 days (released April 24, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
DeepSeek V4-Pro
Qwen 3.6 Plus
Provider
DeepSeek (China)
Alibaba (China)
Released
April 24, 2026
March 31, 2026
Context window
1M (~1,500 pages)
1M (~1,500 pages)
Price (in/out)
$0.435/$0.87 per 1M tokens
$0.325/$1.95 per 1M tokens
Open weight?
Yes — self-hostable
No — API only
Modalities
text, code
text, image, code
SWE-Bench Verified
Not published
78.8%
MRCR v2 @ 1M
Not published
Not published
Who wins what
Open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable: DeepSeek V4-Pro — Open weights make this possible at all — Qwen 3.6 Plus is API-only, so it cannot leave the vendor's servers.
1M-token context with up to 384K output tokens: DeepSeek V4-Pro — DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices — and its weights are open while Qwen 3.6 Plus is API-only.
Permanent low pricing at $0.435/$0.87 per million, set May 2026: DeepSeek V4-Pro — DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices — and it is the newer of the two.
Strong GPQA Diamond science reasoning: Qwen 3.6 Plus — Alibaba's open-weight contender — surprising benchmark wins at a budget price — and it runs cheaper at $0.325/$1.95 per 1M tokens.
Open-weight and budget-friendly: Qwen 3.6 Plus — At $0.325/$1.95 per 1M tokens it undercuts DeepSeek V4-Pro ($0.435/$0.87 per 1M tokens), and that gap compounds at volume.
1M context: Qwen 3.6 Plus — Qwen 3.6 Plus lists 1M context among its strengths; DeepSeek V4-Pro does not.
Lowest cost at scale: Qwen 3.6 Plus — At $0.325/$1.95 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume: Qwen 3.6 Plus — At $0.325/$1.95 per 1M tokens it undercuts DeepSeek V4-Pro, and on millions of tokens that margin decides the monthly bill.
A team with data-privacy or self-hosting needs: DeepSeek V4-Pro — Open weights let you run it on your own hardware; Qwen 3.6 Plus is API-only.
Anyone whose priority is open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable: DeepSeek V4-Pro — It is specifically built for that.
Anyone whose priority is strong gpqa diamond science reasoning: Qwen 3.6 Plus — That is its strongest area.
DeepSeek V4-Pro: where it fits
DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. Released April 24, 2026 by DeepSeek, it is built for open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable, 1M-token context with up to 384K output tokens, permanent low pricing at $0.435/$0.87 per million, set May 2026, and sources place it near the top of open-weight coding, around 80 on SWE-Bench Verified.
Its trade-offs are real: independent SWE-Bench Verified placement is inconsistent across sources, pro and Pro-Max variants are quoted with different scores, text and code only — no image, audio or video, and overlaps DeepSeek V4 and V3.2 already in this comparison. At $0.435 in / $0.87 out per million tokens, it sits in the budget price band.
Qwen 3.6 Plus: where it fits
Alibaba's open-weight contender — surprising benchmark wins at a budget price. Released March 31, 2026 by Alibaba, it is built for strong GPQA Diamond science reasoning, open-weight and budget-friendly, 1M context, and multilingual coverage.
Its trade-offs: less Western ecosystem tooling, and benchmark coverage still maturing. At $0.325 in / $1.95 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. DeepSeek V4-Pro gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Qwen 3.6 Plus gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Frequently asked questions
Is DeepSeek V4-Pro or Qwen 3.6 Plus better for coding?
Public SWE-Bench figures are not available for DeepSeek V4-Pro, so the honest test is your own repository — run an identical real bug through both. By design, DeepSeek V4-Pro leans toward open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable while Qwen 3.6 Plus leans toward strong gpqa diamond science reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, DeepSeek V4-Pro or Qwen 3.6 Plus?
DeepSeek V4-Pro is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Qwen 3.6 Plus is API-metered at $0.325/$1.95 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both DeepSeek V4-Pro and Qwen 3.6 Plus together?
Yes — a multi-model platform like LumiChats gives you DeepSeek V4-Pro, Qwen 3.6 Plus and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, DeepSeek V4-Pro or Qwen 3.6 Plus?
DeepSeek V4-Pro — released April 24, 2026, about 24 days after Qwen 3.6 Plus.
DeepSeek V4-Pro vs Qwen 3.6 Plus
DeepSeek · China | Alibaba · China · Updated June 2026
Quick verdict
Pick DeepSeek V4-Pro for open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable or 1m-token context with up to 384k output tokens. Pick Qwen 3.6 Plus for strong gpqa diamond science reasoning or open-weight and budget-friendly. Choose DeepSeek V4-Pro if you need self-hosting or data privacy; Qwen 3.6 Plus if you want a managed API.
DeepSeek V4-Pro (DeepSeek) and Qwen 3.6 Plus (Alibaba) are two of the models people most often weigh against each other in 2026. DeepSeek V4-Pro is deepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. Qwen 3.6 Plus is alibaba's open-weight contender — surprising benchmark wins at a budget price. They diverge most on price and open vs. closed weights — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Qwen 3.6 Plus is about 1.3× cheaper on input ($0.325/$1.95 per 1M tokens vs $0.435/$0.87 per 1M tokens) — modest, but it adds up at steady volume.
▸Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: DeepSeek V4-Pro is the newer model by about 24 days (released April 24, 2026), usually meaning fresher training data and capabilities.
Open weights make this possible at all — Qwen 3.6 Plus is API-only, so it cannot leave the vendor's servers.
1M-token context with up to 384K output tokens
DeepSeek V4-Pro
DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices — and its weights are open while Qwen 3.6 Plus is API-only.
Permanent low pricing at $0.435/$0.87 per million, set May 2026
DeepSeek V4-Pro
DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices — and it is the newer of the two.
Strong GPQA Diamond science reasoning
Qwen 3.6 Plus
Alibaba's open-weight contender — surprising benchmark wins at a budget price — and it runs cheaper at $0.325/$1.95 per 1M tokens.
Open-weight and budget-friendly
Qwen 3.6 Plus
At $0.325/$1.95 per 1M tokens it undercuts DeepSeek V4-Pro ($0.435/$0.87 per 1M tokens), and that gap compounds at volume.
1M context
Qwen 3.6 Plus
Qwen 3.6 Plus lists 1M context among its strengths; DeepSeek V4-Pro does not.
Lowest cost at scale
Qwen 3.6 Plus
At $0.325/$1.95 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Qwen 3.6 Plus
At $0.325/$1.95 per 1M tokens it undercuts DeepSeek V4-Pro, and on millions of tokens that margin decides the monthly bill.
A team with data-privacy or self-hosting needs
→ DeepSeek V4-Pro
Open weights let you run it on your own hardware; Qwen 3.6 Plus is API-only.
Anyone whose priority is strong gpqa diamond science reasoning
→ Qwen 3.6 Plus
That is its strongest area.
DeepSeek V4-Pro: where it fits
DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. Released April 24, 2026 by DeepSeek, it is built for open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable, 1M-token context with up to 384K output tokens, permanent low pricing at $0.435/$0.87 per million, set May 2026, and sources place it near the top of open-weight coding, around 80 on SWE-Bench Verified.
Its trade-offs are real: independent SWE-Bench Verified placement is inconsistent across sources, pro and Pro-Max variants are quoted with different scores, text and code only — no image, audio or video, and overlaps DeepSeek V4 and V3.2 already in this comparison. At $0.435 in / $0.87 out per million tokens, it sits in the budget price band.
Qwen 3.6 Plus: where it fits
Alibaba's open-weight contender — surprising benchmark wins at a budget price. Released March 31, 2026 by Alibaba, it is built for strong GPQA Diamond science reasoning, open-weight and budget-friendly, 1M context, and multilingual coverage.
Its trade-offs: less Western ecosystem tooling, and benchmark coverage still maturing. At $0.325 in / $1.95 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. DeepSeek V4-Pro gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Qwen 3.6 Plus gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Want both DeepSeek V4-Pro and Qwen 3.6 Plus without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Is DeepSeek V4-Pro or Qwen 3.6 Plus better for coding?
Public SWE-Bench figures are not available for DeepSeek V4-Pro, so the honest test is your own repository — run an identical real bug through both. By design, DeepSeek V4-Pro leans toward open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable while Qwen 3.6 Plus leans toward strong gpqa diamond science reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, DeepSeek V4-Pro or Qwen 3.6 Plus?
DeepSeek V4-Pro is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Qwen 3.6 Plus is API-metered at $0.325/$1.95 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both DeepSeek V4-Pro and Qwen 3.6 Plus together?
Yes — a multi-model platform like LumiChats gives you DeepSeek V4-Pro, Qwen 3.6 Plus and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, DeepSeek V4-Pro or Qwen 3.6 Plus?
DeepSeek V4-Pro — released April 24, 2026, about 24 days after Qwen 3.6 Plus.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.