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

Claude Opus 4.1
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). The model shows particular specialization in general tasks with an average performance of 81.6%. It supports a 232K token context window for handling large documents. The model is available through 4 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic'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.

Claude Opus 4.1
Anthropic
2025-08-05

GPT-5 Codex
OpenAI
2025-09-15
1 month newer
Performance Metrics
Context window and performance specifications

Claude Opus 4.1

GPT-5 Codex
Average performance across 1 common benchmarks

Claude Opus 4.1

GPT-5 Codex
Performance comparison across key benchmark categories

Claude Opus 4.1

GPT-5 Codex
GPT-5 Codex
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4.1
Anthropic
Bedrock
ZeroEval

GPT-5 Codex

Claude Opus 4.1

GPT-5 Codex