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Alibaba Cloud (Qwen)Qwen3.7-MaxVSGoogleGemini 3.5 Flash

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

Our Take

We recommend Qwen3.7-Max if your workflow requires peak coding capability, or the 1.1x cheaper Gemini 3.5 Flash to optimize your API budget. While both models deliver similar reasoning performance, Qwen3.7-Max holds a clear lead in coding. Choose Qwen3.7-Max for complex development tasks, or Gemini 3.5 Flash for cost optimization.
WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while Gemini 3.5 Flash scored 55.1%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Gemini 3.5 Flash scored 92.2%.
  • Cost Efficiency: Gemini 3.5 Flash pricing ($1.5/M input, $9/M output) is 1.1x 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 (+5.5%)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+0.2%)
    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

    Gemini 3.5 Flash

    Benchmarks & Scores

    Coding (swe-bench-pro)
    55.1%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    92.2%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)1.1x cheaper
    $3.38Input: $1.50 | Output: $9.00
    Context Window
    1.05M tokens

    Frequently Asked Questions about Qwen3.7-Max vs Gemini 3.5 Flash

    Gemini 3.5 Flash is cheaper than Qwen3.7-Max. Gemini 3.5 Flash has a blended cost of $3.38/1M tokens, which is about 1.1x 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 Gemini 3.5 Flash which scores 55.1%.

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