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Alibaba Cloud (Qwen)Qwen3.6-PlusVSAnthropicClaude Fable 5

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

Our Take

We recommend Claude Fable 5 if you need peak intelligence for reasoning and coding tasks, or the 17.8x cheaper Qwen3.6-Plus to optimize your budget for high-volume pipelines. While Claude Fable 5 holds a clear performance lead, it carries a heavy price premium. Choose Claude Fable 5 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 Fable 5 scored 80.3%, while Qwen3.6-Plus scored 56.6%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Claude Fable 5 scored 94.1%, while Qwen3.6-Plus scored 90.4%.
  • Cost Efficiency: Qwen3.6-Plus pricing ($0.5/M input, $3/M output) is 17.8x cheaper than Claude Fable 5 ($10/M input, $50/M output).
  • Was this recommendation helpful?
    Model Specs

    Qwen3.6-Plus

    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)17.8x cheaper
    $1.13Input: $0.50 | Output: $3.00
    Context Window
    1.05M tokens
    Model Specs

    Claude Fable 5

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+23.7%)
    80.3%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+3.7%)
    94.1%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $20.00Input: $10.00 | Output: $50.00
    Context Window
    1.05M tokens

    Frequently Asked Questions about Qwen3.6-Plus vs Claude Fable 5

    Qwen3.6-Plus is cheaper than Claude Fable 5. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 17.8x cheaper than Claude Fable 5 at $20.00/1M tokens.

    Claude Fable 5 is better for coding tasks on this benchmark. It scores 80.3% 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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