Baidu: ERNIE 4.5 21B A3B Thinking vs Qwen: Qwen3 VL 235B A22B Thinking
Head-to-head API cost, context, and performance comparison. Synced at 2:36:05 PM.
Executive Summary
When evaluating Baidu: ERNIE 4.5 21B A3B Thinking against Qwen: Qwen3 VL 235B A22B Thinking, the pricing structure is a key differentiator. Baidu: ERNIE 4.5 21B A3B Thinking is approximately 88% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Qwen: Qwen3 VL 235B A22B Thinking leads with a statistical ELO score of 1418. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3 VL 235B A22B Thinking, 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, Baidu: ERNIE 4.5 21B A3B Thinking wins out aggressively in pricing.
People Also Ask
Is Baidu: ERNIE 4.5 21B A3B Thinking cheaper than Qwen: Qwen3 VL 235B A22B Thinking?
Yes. Baidu: ERNIE 4.5 21B A3B Thinking is cheaper for both input and output generation compared to Qwen: Qwen3 VL 235B A22B Thinking. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
Both models offer an identical context window of 131,072 tokens.