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Alibaba Cloud (Qwen)Qwen3.6-PlusVSAnthropicClaude Opus 4.7

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

Our Take

We recommend Claude Opus 4.7 if you need peak intelligence for reasoning and coding tasks, or the 8.9x cheaper Qwen3.6-Plus to optimize your budget for high-volume pipelines. While Claude Opus 4.7 holds a clear performance lead, it carries a heavy price premium. Choose Claude Opus 4.7 for complex logic, or Qwen3.6-Plus for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Claude Opus 4.7 scored 64.3%, while Qwen3.6-Plus scored 56.6%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Claude Opus 4.7 scored 94.2%, while Qwen3.6-Plus scored 90.4%.
  • Cost Efficiency: Qwen3.6-Plus pricing ($0.5/M input, $3/M output) is 8.9x cheaper than Claude Opus 4.7 ($5/M input, $25/M output).
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    Model Specs

    Qwen3.6-Plus

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)
    56.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    90.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)8.9x cheaper
    $1.13Input: $0.50 | Output: $3.00
    Context Window
    1.05M tokens
    Model Specs

    Claude Opus 4.7

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+7.7%)
    64.3%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+3.8%)
    94.2%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $10.00Input: $5.00 | Output: $25.00
    Context Window
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.6-Plus vs Claude Opus 4.7

    Qwen3.6-Plus is cheaper than Claude Opus 4.7. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 8.9x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

    Claude Opus 4.7 is better for coding tasks on this benchmark. It scores 64.3% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to Qwen3.6-Plus which scores 56.6%.

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