Alibaba Cloud (Qwen)Qwen3.6-PlusVSAnthropicClaude Opus 5
Our Take
We recommend Claude Opus 5 if you need peak intelligence for reasoning and coding tasks, or the 8.9x cheaper Qwen3.6-Plus to optimize your budget for high-volume pipelines. While Claude Opus 5 holds a clear performance lead, it carries a heavy price premium. Choose Claude Opus 5 for complex logic, or Qwen3.6-Plus for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Claude Opus 5 scored 79.2%, while Qwen3.6-Plus scored 56.6%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Claude Opus 5 scored 93.7%, while Qwen3.6-Plus scored 90.4%.
Cost Efficiency: Qwen3.6-Plus pricing ($0.5/M input, $3/M output) is 8.9x cheaper than Claude Opus 5 ($5/M input, $25/M output).
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
56.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)8.9x cheaper
$1.13Input: $0.50 | Output: $3.00Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+22.6%)
79.2%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+3.3%)
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 Qwen3.6-Plus vs Claude Opus 5
Qwen3.6-Plus is cheaper than Claude Opus 5. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 8.9x 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 Qwen3.6-Plus which scores 56.6%.
Related Matchups
Explore similar comparisons for Qwen3.6-Plus 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.