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Qwen: Qwen2.5 VL 72B Instruct vs OpenAI: GPT-5.4 Image 2

Head-to-head API cost, context, and performance comparison. Synced at 2:57:32 PM.

Executive Summary

When evaluating Qwen: Qwen2.5 VL 72B Instruct against OpenAI: GPT-5.4 Image 2, the pricing structure is a key differentiator. Qwen: Qwen2.5 VL 72B Instruct is approximately 96% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen2.5 VL 72B Instruct leads with a statistical ELO score of 1490. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen2.5 VL 72B Instruct, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Qwen: Qwen2.5 VL 72B Instruct
OpenAI: GPT-5.4 Image 2
Performance (ELO)
1490
1487
Input Cost / 1M
$0.25
$8.00
Output Cost / 1M
$0.75
$15.00
Context Window
32,000 tokens
272,000 tokens

Verdict

If you are looking for pure performance and capability, Qwen: Qwen2.5 VL 72B Instruct is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen2.5 VL 72B Instruct wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen2.5 VL 72B Instruct cheaper than OpenAI: GPT-5.4 Image 2?

Yes. Qwen: Qwen2.5 VL 72B Instruct is cheaper for both input and output generation compared to OpenAI: GPT-5.4 Image 2. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.4 Image 2 model has the advantage in memory, offering a massive 272,000 token limit for document ingestion.

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