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Model Comparison

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

OpenAI

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents OpenAI'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-4.1 nano

OpenAI

2025-04-14

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

5 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M
OpenAI

GPT-5 Codex

Max Context:-

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

general
33.7%
OpenAI

GPT-5 Codex

general
+40.8%
74.5%
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

2024-05-31

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

OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
OpenAI

GPT-5 Codex

0 providers
OpenAI

GPT-4.1 nano

Avg Score:0.0%
Providers:1
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0