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GPT-4.1 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 54.3% higher average benchmark score. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). 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.
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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.
5 months newer
GPT-4.1
OpenAI
2025-04-14
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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GPT-4.1
Average Score:56.8%(+54.3%)
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GPT-5 Codex
Average Score:2.5%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
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
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GPT-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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GPT-5 Codex
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GPT-4.1
Avg Score:56.8%(+54.3%)
Providers:1
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GPT-5 Codex
Avg Score:2.5%
Providers:0