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Model Comparison

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

DeepSeek

DeepSeek VL2

DeepSeek

DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

9 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B
OpenAI

GPT-5 Codex

Max Context:-

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

general
69.9%
OpenAI

GPT-5 Codex

general
+4.6%
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 VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
OpenAI

GPT-5 Codex

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0