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Alibaba Cloud (Qwen)Qwen3.7-MaxVSDeepSeekDeepSeek V4 Flash

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

Our Take

We recommend Qwen3.7-Max if you need peak intelligence for reasoning and coding tasks, or the 21.4x cheaper DeepSeek V4 Flash to optimize your budget for high-volume pipelines. While Qwen3.7-Max holds a clear performance lead, it carries a heavy price premium. Choose Qwen3.7-Max for complex logic, or DeepSeek V4 Flash for budget efficiency.
WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while DeepSeek V4 Flash scored 49.1%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while DeepSeek V4 Flash scored 80%.
  • Cost Efficiency: DeepSeek V4 Flash pricing ($0.14/M input, $0.28/M output) is 21.4x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
  • Was this recommendation helpful?
    Model Specs

    Qwen3.7-Max

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+11.5%)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+12.4%)
    92.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $3.75Input: $2.50 | Output: $7.50
    Context Window
    1.05M tokens
    Model Specs

    DeepSeek V4 Flash

    Open SourceAPI Available

    Benchmarks & Scores

    Coding (swe-bench-pro)
    49.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    80%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)21.4x cheaper
    $0.17Input: $0.14 | Output: $0.28
    Context Window
    1.05M tokens

    Frequently Asked Questions about Qwen3.7-Max vs DeepSeek V4 Flash

    DeepSeek V4 Flash is cheaper than Qwen3.7-Max. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 21.4x cheaper than Qwen3.7-Max at $3.75/1M tokens.

    Qwen3.7-Max is better for coding tasks on this benchmark. It scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Flash which scores 49.1%.

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