Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

OpenAI

GPT-5 Codex

OpenAI

GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

14 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
OpenAI

GPT-5 Codex

Max Context:-

Average performance across 13 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+61.0%
Average Score:66.7%
OpenAI

GPT-5 Codex

Average Score:5.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

general
62.1%
OpenAI

GPT-5 Codex

general
+12.4%
74.5%
Knowledge Cutoff
Training data recency comparison

GPT-5 Codex

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
OpenAI

GPT-5 Codex

0 providers
DeepSeek

DeepSeek-V3.2-Exp

+61.0%
Avg Score:66.7%
Providers:2
OpenAI

GPT-5 Codex

Avg Score:5.7%
Providers:0