Alibaba Cloud (Qwen)Qwen3.6-27BVSAnthropicClaude Haiku 4.5
Our Take
We recommend Qwen3.6-27B over Claude Haiku 4.5 because it holds a clear reasoning lead. Choose Qwen3.6-27B for offline data control and complex codebases, multi-file repositories, and architectural planning, or Claude Haiku 4.5 only if you prefer using a cloud-hosted API setup for multi-file code and clearly defined tasks.
▶WHY?
Benchmark Calculations & Evidence:
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-27B scored 87.8%, while Claude Haiku 4.5 scored 73% (+14.8% gap).
Coding Performance: Evaluated on different benchmarks. Qwen3.6-27B scored 53.5% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning), while Claude Haiku 4.5 scored 73.3% on SWE-bench Verified (multi-file code and clearly defined tasks).
Hosting Model: Qwen3.6-27B runs locally for $0 API costs, while Claude Haiku 4.5 is hosted via a cloud-hosted API setup.
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Benchmarks & Scores
Coding (swe-bench-pro)
53.5%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+14.8%)
87.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context WindowLarger
262.14k tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.3%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
73%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.00Input: $1.00 | Output: $5.00Context Window
200k tokensFrequently Asked Questions about Qwen3.6-27B vs Claude Haiku 4.5
For coding tasks, Qwen3.6-27B scores 53.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks).
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