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Qwen: Qwen3 VL 32B Instruct vs Baidu: ERNIE 4.5 VL 424B A47B

Head-to-head API cost, context, and performance comparison. Synced at 6:41:27 PM.

Executive Summary

When evaluating Qwen: Qwen3 VL 32B Instruct against Baidu: ERNIE 4.5 VL 424B A47B , the pricing structure is a key differentiator. Qwen: Qwen3 VL 32B Instruct is approximately 69% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Baidu: ERNIE 4.5 VL 424B A47B leads with a statistical ELO score of 1436. For tasks involving complex logic, coding, or instruction-following, developers might prefer Baidu: ERNIE 4.5 VL 424B A47B , provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Qwen: Qwen3 VL 32B Instruct
Baidu: ERNIE 4.5 VL 424B A47B
Performance (ELO)
1436
1436
Input Cost / 1M
$0.10
$0.42
Output Cost / 1M
$0.42
$1.25
Context Window
131,072 tokens
123,000 tokens

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 VL 32B Instruct wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3 VL 32B Instruct cheaper than Baidu: ERNIE 4.5 VL 424B A47B ?

Yes. Qwen: Qwen3 VL 32B Instruct is cheaper for both input and output generation compared to Baidu: ERNIE 4.5 VL 424B A47B . Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3 VL 32B Instruct model has the advantage in memory, offering a massive 131,072 token limit for document ingestion.

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