Alibaba Cloud (Qwen)Qwen3.7-MaxVSxAIGrok 4.20
Our Take
We recommend Qwen3.7-Max for its clear benchmark advantage, or the 1.3x cheaper Grok 4.20 only if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.7-Max offers superior reasoning and coding, it carries a moderate price premium. Choose Qwen3.7-Max for quality, or Grok 4.20 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 Grok 4.20 scored 51.8%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.7-Max scored 92.4%, while Grok 4.20 scored 90%.
Cost Efficiency: Grok 4.20 pricing ($2/M input, $6/M output) is 1.3x cheaper than Qwen3.7-Max ($2.5/M input, $7.5/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+8.8%)
60.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+2.4%)
92.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
51.8%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.3x cheaper
$3.00Input: $2.00 | Output: $6.00Context Window
1.05M tokensFrequently Asked Questions about Qwen3.7-Max vs Grok 4.20
Grok 4.20 is cheaper than Qwen3.7-Max. Grok 4.20 has a blended cost of $3.00/1M tokens, which is about 1.3x cheaper than Qwen3.7-Max at $3.75/1M tokens.
Qwen3.7-Max is better for coding tasks on this benchmark. It scores 60.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to Grok 4.20 which scores 51.8%.
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