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Alibaba Cloud (Qwen)Qwen3.6-PlusVSDeepSeekDeepSeek V4 Pro

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend choosing Qwen3.6-Plus because it outperforms or matches DeepSeek V4 Pro across reasoning, coding, and context capacity while being cheaper or equal in cost. Choose Qwen3.6-Plus for superior overall value.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.6-Plus scored 56.6%, while DeepSeek V4 Pro scored 52.1%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-Plus scored 90.4%, while DeepSeek V4 Pro scored 88%.
  • Context Window: Qwen3.6-Plus supports a 1M context window compared to 1M for DeepSeek V4 Pro.
  • Cost Comparison: Qwen3.6-Plus blended CPM is $0.5/$3 compared to $1.74/$3.48 for DeepSeek V4 Pro.
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    Model Specs

    Qwen3.6-Plus

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+4.5%)
    56.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+2.4%)
    90.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)1.9x cheaper
    $1.13Input: $0.50 | Output: $3.00
    Context Window
    1.05M tokens
    Model Specs

    DeepSeek V4 Pro

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    52.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    88%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $2.17Input: $1.74 | Output: $3.48
    Context Window
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.6-Plus vs DeepSeek V4 Pro

    Qwen3.6-Plus is cheaper than DeepSeek V4 Pro. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 1.9x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

    Qwen3.6-Plus is better for coding tasks on this benchmark. It scores 56.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Pro which scores 52.1%.

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