Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSGoogleGemini 2.5 Pro
Our Take
We recommend Qwen3.6-35B-A3B for zero-cost private inference on your own hardware, or Gemini 2.5 Pro if you need instant cloud scaling without managing compute. Choose Qwen3.6-35B-A3B for offline data control and complex codebases, multi-file repositories, and architectural planning, or Gemini 2.5 Pro for multi-file code and clearly defined tasks.
▶WHY?
Benchmark Calculations & Evidence:
Reasoning Accuracy: Qwen3.6-35B-A3B scores 86% on reasoning, while Gemini 2.5 Pro scores 84.4%.
Coding Performance: Evaluated on different benchmarks. Qwen3.6-35B-A3B scored 49.5% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning), while Gemini 2.5 Pro scored 59.6% on SWE-bench Verified (multi-file code and clearly defined tasks).
Context Window: Gemini 2.5 Pro supports 1M, while Qwen3.6-35B-A3B supports 262k.
Hosting Model: Qwen3.6-35B-A3B runs locally for $0 API costs, while Gemini 2.5 Pro is a cloud API.
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Benchmarks & Scores
Coding (swe-bench-pro)
49.5%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+1.6%)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-verified)
59.6%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
84.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Qwen3.6-35B-A3B vs Gemini 2.5 Pro
For coding tasks, Qwen3.6-35B-A3B scores 49.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Gemini 2.5 Pro scores 59.6% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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