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GPT-4o mini vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 55.2% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 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.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GPT-4o mini
Average Score:63.5%(+55.2%)
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GPT-5 Codex
Average Score:8.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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GPT-5 Codex
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GPT-4o mini
Avg Score:63.5%(+55.2%)
Providers:1
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GPT-5 Codex
Avg Score:8.3%
Providers:0