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Alibaba Cloud (Qwen) Qwen3.7-Max VS xAI Grok 4.5

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

⚖️Our Take

Both models perform almost identically, with an average score gap of just 2.3%. We recommend choosing Grok 4.5 as it is the more cost-effective option (being 1.3x cheaper) without sacrificing any real-world capability.
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Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)
60.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
92.4%

graduate-level science QA

Cost & Performance

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

Grok 4.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.1%)
64.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+0.6%)
93%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)1.3x cheaper
$3.00Input: $2.00 | Output: $6.00
Context Window
500k tokens

Frequently Asked Questions about Qwen3.7-Max vs Grok 4.5 comparison

Grok 4.5 is cheaper than Qwen3.7-Max. Grok 4.5 has a blended cost of $3.00/1M tokens, which is about 1.3x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Grok 4.5 is better for coding tasks on this benchmark. It scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Qwen3.7-Max which scores 60.6%.