Model Comparison

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

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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-V2.5

DeepSeek

2024-05-08

GPT-5 Codex

OpenAI

2025-09-15

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek-V2.5

Larger context

Max Context:16.4K

Parameters:236.0B

GPT-5 Codex

Max Context:-

Average performance across 1 common benchmarks

DeepSeek-V2.5

Average Score:16.8%

GPT-5 Codex

+57.7%

Average Score:74.5%

Performance comparison across key benchmark categories

DeepSeek-V2.5

general

68.4%

GPT-5 Codex

general

+6.1%

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-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s

Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

GPT-5 Codex

0 providers

DeepSeek-V2.5

Avg Score:16.8%

Providers:3

GPT-5 Codex

+57.7%

Avg Score:74.5%

Providers:0