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DeepSeek: DeepSeek V4 Pro 0813 vs OpenAI: GPT-5.1-Codex-Max

Head-to-head API cost, context, and performance comparison. Synced at 2:06:49 PM.

Executive Summary

When evaluating DeepSeek: DeepSeek V4 Pro 0813 against OpenAI: GPT-5.1-Codex-Max, the pricing structure is a key differentiator. DeepSeek: DeepSeek V4 Pro 0813 is approximately 77% 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.

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Raw Technical comparison

Metric
DeepSeek: DeepSeek V4 Pro 0813
OpenAI: GPT-5.1-Codex-Max
Performance (ELO)
1608
1506
Input Cost / 1M
$0.66
$1.25
Output Cost / 1M
$1.98
$10.00
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, DeepSeek: DeepSeek V4 Pro 0813 wins out aggressively in pricing.

People Also Ask

Is DeepSeek: DeepSeek V4 Pro 0813 cheaper than OpenAI: GPT-5.1-Codex-Max?

Yes. DeepSeek: DeepSeek V4 Pro 0813 is cheaper for both input and output generation compared to OpenAI: GPT-5.1-Codex-Max. Exploring alternatives often yields cost reductions.

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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