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Qwen models show strong coding benchmark performance against Step 3.7

A user on Reddit has published results from a coding benchmark comparing several Qwen models against Step 3.7. The benchmark focused on evaluating the models' performance in coding tasks. The results indicate that Qwen 3.5 122B-A10B and Qwen 3.6 35B-A3B performed notably well in this specific coding evaluation. AI

IMPACT Provides insights into the coding capabilities of various Qwen models, useful for developers choosing models for coding tasks.

RANK_REASON User-generated benchmark results for multiple LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen models show strong coding benchmark performance against Step 3.7

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/remeh ·

    A Simple Coding Benchmark: Step 3.7 vs Qwen 3.5 122B-A10B vs Qwen 3.6 27B vs Qwen 3.6 35B-A3B

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tuxspu/a_simple_coding_benchmark_step_37_vs_qwen_35/"> <img alt="A Simple Coding Benchmark: Step 3.7 vs Qwen 3.5 122B-A10B vs Qwen 3.6 27B vs Qwen 3.6 35B-A3B" src="https://external-preview.redd.it/BOBcJN5jRz…