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Alibaba Cloud (Qwen)Qwen3.6-PlusVSMistral AIMistral Large 3

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

Our Take

We recommend Qwen3.6-Plus for complex complex codebases, multi-file repositories, and architectural planning, or the 1.5x cheaper Mistral Large 3 if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.6-Plus offers a clear reasoning advantage, it carries a moderate price premium. Choose Qwen3.6-Plus for architectural codebase planning, or Mistral Large 3 to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Qwen3.6-Plus was evaluated on SWE-bench Pro (scoring 56.6%), while Mistral Large 3 was evaluated on LiveCodeBench (scoring 34.4%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-Plus scored 90.4%, while Mistral Large 3 scored 85.5%.
  • Cost Efficiency: Mistral Large 3 pricing ($0.5/M input, $1.5/M output) is 1.5x cheaper than Qwen3.6-Plus ($0.5/M input, $3/M output).
    • Was this recommendation helpful?
    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)Winner (+4.9%)
    90.4%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $1.13Input: $0.50 | Output: $3.00
    Context WindowLarger
    1.05M tokens
    Model Specs

    Mistral Large 3

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (live-code-bench)
    34.4%

    scripting single-file apps or clearly defined functions

    Reasoning (gpqa-diamond)
    85.5%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)1.5x cheaper
    $0.75Input: $0.50 | Output: $1.50
    Context Window
    262.14k tokens
    Read our data collection methodology

    Frequently Asked Questions about Qwen3.6-Plus vs Mistral Large 3

    Mistral Large 3 is cheaper than Qwen3.6-Plus. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 1.5x cheaper than Qwen3.6-Plus at $1.13/1M tokens.

    For coding tasks, Qwen3.6-Plus scores 56.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Mistral Large 3 scores 34.4% on live-code-bench (scripting single-file apps or clearly defined functions).

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