DeepSeek-V4-Pro-0813 vs GPT-5.2: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while GPT-5.2 comes from OpenAI. GPT-5.2 was released in December 2025, and DeepSeek-V4-Pro-0813 followed 8 months later in August 2026. DeepSeek-V4-Pro-0813 has a published size of about 1.6 trillion parameters; OpenAI has not disclosed the parameter count of GPT-5.2.

The two models share 2 published benchmarks. DeepSeek-V4-Pro-0813 leads on 2 of them. The widest gaps are on Toolathlon, where DeepSeek-V4-Pro-0813 scores 74.0% against 46.3%; Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 34.5%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and GPT-5.2 at 78.2%.

On price the two are close: DeepSeek-V4-Pro-0813 costs $1.32 per million input tokens and $3.96 per million output tokens, GPT-5.2 $1.50 and $6. DeepSeek-V4-Pro-0813 takes the larger context window at 1M tokens, compared with 256K for GPT-5.2. DeepSeek-V4-Pro-0813 accepts text as input, while GPT-5.2 accepts text, images, audio, and video.

CharacteristicDeepSeek-V4-Pro-0813GPT-5.2
CompanyDeepSeekOpenAI
Release DateAugust 13, 2026December 10, 2025
Parameters1.6T
MultimodalNoYes
Context (input)1.0M256K
Context (output)393K128K
Input Price / 1M$1.32$1.50
Output Price / 1M$3.96$6.00
Average Score60.6%78.2%
Benchmarks
Toolathlon74.0%46.3%
Humanity's Last Exam60.0%34.5%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
GPT-5.2
Toolathlon0.7 vs 0.5
0.7
0.5
Humanity's Last Exam0.6 vs 0.3
0.6
0.3

Verdict

DeepSeek-V4-Pro-0813 leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, GPT-5.2 — 0.8.

API Cost

DeepSeek-V4-Pro-0813 is 1.4x cheaper: input $1.32/1M vs $1.50/1M tokens.

Context Window

DeepSeek-V4-Pro-0813 supports a larger context: 1M vs 256K tokens.

Recency

DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 12/10/2025.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or GPT-5.2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or GPT-5.2?
DeepSeek-V4-Pro-0813 is cheaper for input: $1.32 per 1M tokens vs $1.50.
Which has a larger context window — DeepSeek-V4-Pro-0813 or GPT-5.2?
DeepSeek-V4-Pro-0813 supports a larger context: 1,000,000 tokens vs 256,000.

The DeepSeek-V4-Pro-0813 and GPT-5.2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or GPT-5.2 page. See also the complete list of AI model comparisons.