whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.6-Plus

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 7.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-Plus is 8.9x cheaper to run and delivers 1.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-Plus 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

Qwen3.6-Plus

Benchmarks & Scores

Coding (swe-bench-pro)
56.6%
Reasoning (gpqa-diamond)
90.4%

Cost & Performance

Cost (per 1M tokens)8.9x cheaper
$1.13Input: $0.50 | Output: $3.00
Speed1.1x faster
52 tps
Context Window
1M tokens
Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+7.7%)
64.3%
Reasoning (gpqa-diamond)Winner (+3.8%)
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

Qwen3.6-Plus is cheaper than Claude Opus 4.7. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 8.9x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

Qwen3.6-Plus is faster than Claude Opus 4.7. Qwen3.6-Plus generates 52 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 Qwen3.6-Plus which scores 56.6%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard