Qwen: Qwen3 30B A3B Instruct 2507 vs OpenAI: GPT-5.2
Head-to-head API cost, context, and performance comparison. Synced at 2:38:06 PM.
Executive Summary
When evaluating Qwen: Qwen3 30B A3B Instruct 2507 against OpenAI: GPT-5.2, the pricing structure is a key differentiator. Qwen: Qwen3 30B A3B Instruct 2507 is approximately 98% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, OpenAI: GPT-5.2 leads with a statistical ELO score of 1440. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.2, provided their budget allows for the API burn rate.
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Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3 30B A3B Instruct 2507 wins out aggressively in pricing.
People Also Ask
Is Qwen: Qwen3 30B A3B Instruct 2507 cheaper than OpenAI: GPT-5.2?
Yes. Qwen: Qwen3 30B A3B Instruct 2507 is cheaper for both input and output generation compared to OpenAI: GPT-5.2. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The OpenAI: GPT-5.2 model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.