whichLlmmodel
Back to Dashboard

Alibaba Cloud (Qwen)Qwen3.7-MaxVSGoogleGemma 4 E2B

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 Gemma 4 E2B if you want zero API costs and total offline privacy. While Qwen3.7-Max offers superior reasoning capability, Gemma 4 E2B runs entirely on your own local hardware. Choose Qwen3.7-Max for repository-scale analysis, or Gemma 4 E2B for zero-cost offline privacy and scripting single-file apps or clearly defined functions.
▶WHY?
Benchmark Calculations & Evidence:
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Gemma 4 E2B scored 43.4% (+49.0% gap).
  • Coding Performance: Evaluated on different benchmarks. Gemma 4 E2B scored 44% on LiveCodeBench (scripting single-file apps or clearly defined functions), while Qwen3.7-Max scored 60.6% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning).
  • Context Window: Qwen3.7-Max supports a 1M context window, while Gemma 4 E2B supports 131k.
  • Hosting Model: Gemma 4 E2B runs locally for $0 API costs, while Qwen3.7-Max is a cloud API.
    • Was this recommendation helpful?
    Model Specs

    Qwen3.7-Max

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+49.0%)
    92.4%

    graduate-level science QA

    Cost & Context

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

    Gemma 4 E2B

    Open Source
    🤗HF

    Benchmarks & Scores

    Coding (live-code-bench)
    44%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)
    43.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    Self HostLocal execution (zero API fees)
    Context Window
    131.07k tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.7-Max vs Gemma 4 E2B

    For coding tasks, Qwen3.7-Max scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Gemma 4 E2B scores 44% on live-code-bench (scripting single-file apps or clearly defined functions).

    Related Matchups

    Explore similar comparisons for Qwen3.7-Max and Gemma 4 E2B.

    Browse More Comparisons
    Alibaba Cloud (Qwen)Qwen3.7-Max
    VS
    OpenAIGPT-5.5
    Compare Specs
    GoogleGemma 4 E2B
    VS
    OpenAIGPT-5.6 Sol
    Compare Specs
    Alibaba Cloud (Qwen)Qwen3.7-Max
    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