Alibaba Cloud (Qwen)Qwen3.7-MaxVSAnthropicClaude Opus 5
Our Take
We recommend Claude Opus 5 if your workflow requires peak coding capability, or the 2.7x cheaper Qwen3.7-Max to optimize your API budget. While both models deliver similar reasoning performance, Claude Opus 5 holds a clear lead in coding. Choose Claude Opus 5 for complex development tasks, or Qwen3.7-Max for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.7-Max scored 60.6%, while Claude Opus 5 scored 79.2%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Claude Opus 5 scored 93.7%.
Cost Efficiency: Qwen3.7-Max pricing ($2.5/M input, $7.5/M output) is 2.7x cheaper than Claude Opus 5 ($5/M input, $25/M output).
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
92.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.7x cheaper
$3.75Input: $2.50 | Output: $7.50Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+18.6%)
79.2%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+1.3%)
93.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00Context Window
1.05M tokensFrequently Asked Questions about Qwen3.7-Max vs Claude Opus 5
Qwen3.7-Max is cheaper than Claude Opus 5. Qwen3.7-Max has a blended cost of $3.75/1M tokens, which is about 2.7x cheaper than Claude Opus 5 at $10.00/1M tokens.
Claude Opus 5 is better for coding tasks on this benchmark. It scores 79.2% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to Qwen3.7-Max which scores 60.6%.
Related Matchups
Explore similar comparisons for Qwen3.7-Max and Claude Opus 5.
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.