Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek-V3

DeepSeek

2024-12-25

GPT-5 Codex

OpenAI

2025-09-15

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

GPT-5 Codex

Max Context:-

Average performance across 1 common benchmarks

DeepSeek-V3

Average Score:42.0%

GPT-5 Codex

+32.5%

Average Score:74.5%

Performance comparison across key benchmark categories

DeepSeek-V3

general

70.5%

GPT-5 Codex

general

+4.0%

74.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

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-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

GPT-5 Codex

0 providers

DeepSeek-V3

Avg Score:42.0%

Providers:1

GPT-5 Codex

+32.5%

Avg Score:74.5%

Providers:0