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DeepSeek: DeepSeek V4 Pro 0813 vs OpenAI: GPT-5.4 Mini (batch)

Head-to-head API cost, context, and performance comparison. Synced at 2:09:18 PM.

Executive Summary

When evaluating DeepSeek: DeepSeek V4 Pro 0813 against OpenAI: GPT-5.4 Mini (batch), the pricing structure is a key differentiator. OpenAI: GPT-5.4 Mini (batch) is approximately 1% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, DeepSeek: DeepSeek V4 Pro 0813 leads with a statistical ELO score of 1608. For tasks involving complex logic, coding, or instruction-following, developers might prefer DeepSeek: DeepSeek V4 Pro 0813, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
DeepSeek: DeepSeek V4 Pro 0813
OpenAI: GPT-5.4 Mini (batch)
Performance (ELO)
1608
1508
Input Cost / 1M
$0.66
$0.38
Output Cost / 1M
$1.98
$2.25
Context Window
1,048,576 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, DeepSeek: DeepSeek V4 Pro 0813 is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5.4 Mini (batch) wins out aggressively in pricing.

People Also Ask

Is DeepSeek: DeepSeek V4 Pro 0813 cheaper than OpenAI: GPT-5.4 Mini (batch)?

No. OpenAI: GPT-5.4 Mini (batch) is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The DeepSeek: DeepSeek V4 Pro 0813 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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