whichLlmmodel
Back to Dashboard

Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSAlibaba Cloud (Qwen)Qwen3.7-Max

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

Our Take

We recommend Qwen3.7-Max if you need peak intelligence and a much larger context window for full-repo analysis, or the free Qwen3.6-35B-A3B if you want zero API costs and total offline privacy. While Qwen3.7-Max offers superior reasoning capability, Qwen3.6-35B-A3B runs entirely on your own local hardware. Choose Qwen3.7-Max for repository-scale analysis, or Qwen3.6-35B-A3B for zero-cost offline privacy and complex codebases, multi-file repositories, and architectural planning.
▶WHY?
Benchmark Calculations & Evidence:
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Qwen3.6-35B-A3B scored 86% (+6.4% gap).
  • Coding Performance: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while Qwen3.6-35B-A3B scored 49.5% (+11.1% gap).
  • Context Window: Qwen3.7-Max supports a 1M context window, while Qwen3.6-35B-A3B supports 262k.
  • Hosting Model: Qwen3.6-35B-A3B runs locally for $0 API costs, while Qwen3.7-Max is a cloud API.
    • Was this recommendation helpful?
    Model Specs

    Qwen3.6-35B-A3B

    Open Source
    🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)
    49.5%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    86%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    Self HostLocal execution (zero API fees)
    Context Window
    262.14k tokens
    Model Specs

    Qwen3.7-Max

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+11.1%)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+6.4%)
    92.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $3.75Input: $2.50 | Output: $7.50
    Context WindowLarger
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.6-35B-A3B vs Qwen3.7-Max

    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 Qwen3.6-35B-A3B which scores 49.5%.

    Related Matchups

    Explore similar comparisons for Qwen3.6-35B-A3B and Qwen3.7-Max.

    Browse More Comparisons
    Alibaba Cloud (Qwen)Qwen3.6-35B-A3B
    VS
    OpenAIGPT-5.5
    Compare Specs
    Alibaba Cloud (Qwen)Qwen3.7-Max
    VS
    OpenAIGPT-5.6 Sol
    Compare Specs
    Alibaba Cloud (Qwen)Qwen3.6-35B-A3B
    VS
    OpenAIGPT-5.6 Terra
    Compare Specs

    Do you want to find a model for your constraints?

    Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

    Open Model Finder