Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSGoogleGemma 4 E4B
Our Take
We recommend Qwen3.6-35B-A3B for superior reasoning capability, or Gemma 4 E4B for faster local inference on smaller GPU hardware. While both models run locally for zero API costs, Qwen3.6-35B-A3B carries a larger parameter memory footprint. Choose Qwen3.6-35B-A3B if you have the VRAM to support it, or Gemma 4 E4B for consumer-grade hardware compatibility.
▶WHY?
Benchmark Calculations & Evidence:
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-35B-A3B scored 86%, while Gemma 4 E4B scored 58.6% (+27.4% gap).
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 Gemma 4 E4B scored 52% on LiveCodeBench (scripting single-file apps or clearly defined functions).
Hardware Footprint: Qwen3.6-35B-A3B is a 35B parameter model requiring more VRAM, while Gemma 4 E4B is a 4.5B parameter model.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
49.5%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+27.4%)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context WindowLarger
262.14k tokensBenchmarks & Scores
Coding (live-code-bench)
52%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)
58.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensFrequently Asked Questions about Qwen3.6-35B-A3B vs Gemma 4 E4B
For coding tasks, Qwen3.6-35B-A3B scores 49.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Gemma 4 E4B scores 52% on live-code-bench (scripting single-file apps or clearly defined functions).
Related Matchups
Explore similar comparisons for Qwen3.6-35B-A3B and Gemma 4 E4B.
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.