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Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Anthropic

Claude Opus 4.7

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.7 is the premium intelligence choice, scoring 3.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.7-Max is 2.7x cheaper to run and delivers 4.3x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.7-Max offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.7 fully justifies the cost.

Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)
60.6%
Reasoning (gpqa-diamond)
92.4%

Cost & Performance

Cost (per 1M tokens)2.7x cheaper
$3.75Input: $2.50 | Output: $7.50
Speed4.3x faster
205 tps
Context Window
1M tokens
Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+3.7%)
64.3%
Reasoning (gpqa-diamond)Winner (+1.8%)
94.2%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Speed
48.1 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Qwen3.7-Max is cheaper than Claude Opus 4.7. Qwen3.7-Max has a blended cost of $3.75/1M tokens, which is about 2.7x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

Qwen3.7-Max is faster than Claude Opus 4.7. Qwen3.7-Max generates 205 tokens per second (tps) compared to Claude Opus 4.7 which generates 48.1 tokens per second.

Claude Opus 4.7 is better for coding tasks. It scores 64.3% on coding evaluations (swe-bench-pro) compared to Qwen3.7-Max which scores 60.6%.

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