GPT-5.2 vs Qwen3.6 35B-A3B
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.2 by OpenAI and Qwen3.6 35B-A3B by Alibaba are evenly matched across 6 benchmarks. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
Reasoning: In reasoning, GPT-5.2 scores 87.9% on GPQA Diamond compared to Qwen3.6 35B-A3B's 80.5%, while GPT-5.2 scores 73.3% on τ²-Bench Airline compared to Qwen3.6 35B-A3B's 71.4%.
Context: In context, GPT-5.2 scores 400K on Context Length compared to Qwen3.6 35B-A3B's 262K.
Pricing Comparison
GPT-5.2 costs $1.8/1M input tokens and $14.0/1M output tokens, while Qwen3.6 35B-A3B costs $0.10/1M input and $0.90/1M output. Qwen3.6 35B-A3B is the more affordable option for API usage.
Verdict
Qwen3.6 35B-A3B leads across the board in affordability, making it the stronger overall choice in this comparison.
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GPT-5.2 vs Qwen3.6 35B-A3B — FAQ
Which is better, GPT-5.2 or Qwen3.6 35B-A3B?
GPT-5.2 and Qwen3.6 35B-A3B are evenly matched across benchmarks. The best choice depends on your specific priorities such as coding ability, speed, or pricing.
How does GPT-5.2 compare to Qwen3.6 35B-A3B for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is GPT-5.2 cheaper than Qwen3.6 35B-A3B?
Yes, Qwen3.6 35B-A3B is cheaper. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens. Qwen3.6 35B-A3B costs $0.10/1M input and $0.90/1M output tokens.
Which is faster, GPT-5.2 or Qwen3.6 35B-A3B?
Output speed data is not available for both models. Check the speed section of the comparison above for available performance data.
What benchmarks does the GPT-5.2 vs Qwen3.6 35B-A3B comparison cover?
This comparison covers 6 benchmarks including GPQA Diamond, Input Cost, Output Cost, Context Length, Cached Input Cost, τ²-Bench Airline. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.