OpenAI: o3 vs Qwen: Qwen3 235B A22B
Head-to-head API cost, context, and performance comparison. Synced at 2:31:51 PM.
Executive Summary
When evaluating OpenAI: o3 against Qwen: Qwen3 235B A22B, the pricing structure is a key differentiator. Qwen: Qwen3 235B A22B is approximately 77% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Qwen: Qwen3 235B A22B leads with a statistical ELO score of 1431. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3 235B A22B, 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 235B A22B wins out aggressively in pricing.
People Also Ask
Is OpenAI: o3 cheaper than Qwen: Qwen3 235B A22B?
No. Qwen: Qwen3 235B A22B is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The OpenAI: o3 model has the advantage in memory, offering a massive 200,000 token limit for document ingestion.