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Alibaba Cloud (Qwen)Qwen3.7-MaxVSAnthropicClaude Haiku 4.5

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

Our Take

We recommend Qwen3.7-Max for complex complex codebases, multi-file repositories, and architectural planning, or the 1.9x cheaper Claude Haiku 4.5 if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.7-Max offers a clear reasoning advantage, it carries a moderate price premium. Choose Qwen3.7-Max for architectural codebase planning, or Claude Haiku 4.5 to save on API costs for simple scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Qwen3.7-Max was evaluated on SWE-bench Pro (scoring 60.6%), while Claude Haiku 4.5 was evaluated on SWE-bench Verified (scoring 73.3%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Claude Haiku 4.5 scored 73%.
  • Cost Efficiency: Claude Haiku 4.5 pricing ($1/M input, $5/M output) is 1.9x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
  • Was this recommendation helpful?
    Model Specs

    Qwen3.7-Max

    Benchmarks & Scores

    Coding (swe-bench-pro)
    60.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+19.4%)
    92.4%

    graduate-level science QA

    Cost & Context

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

    Claude Haiku 4.5

    Benchmarks & Scores

    Coding (swe-bench-verified)
    73.3%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)
    73%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)1.9x cheaper
    $2.00Input: $1.00 | Output: $5.00
    Context Window
    200k tokens

    Frequently Asked Questions about Qwen3.7-Max vs Claude Haiku 4.5

    Claude Haiku 4.5 is cheaper than Qwen3.7-Max. Claude Haiku 4.5 has a blended cost of $2.00/1M tokens, which is about 1.9x cheaper than Qwen3.7-Max at $3.75/1M tokens.

    For coding tasks, Qwen3.7-Max scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks).

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