Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.1-Codex-Max is clearly ahead on the aggregate, 62 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.1-Codex-Max's sharpest advantage is in reasoning, where it averages 92.9 against 21.7. The single biggest benchmark swing on the page is SimpleQA, 94% to 21.7%.
GPT-5.1-Codex-Max is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.30 input / $0.50 output per 1M tokens for Grok 3 Mini. That is roughly 16.0x on output cost alone. GPT-5.1-Codex-Max is the reasoning model in the pair, while Grok 3 Mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.1-Codex-Max gives you the larger context window at 400K, compared with 128K for Grok 3 Mini.
Pick GPT-5.1-Codex-Max if you want the stronger benchmark profile. Grok 3 Mini only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.1-Codex-Max
86
Grok 3 Mini
41.5
Benchmark data for this category is coming soon.
GPT-5.1-Codex-Max
92.9
Grok 3 Mini
21.7
GPT-5.1-Codex-Max
95
Grok 3 Mini
74.1
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
GPT-5.1-Codex-Max
96
Grok 3 Mini
39.7
GPT-5.1-Codex-Max is ahead overall, 62 to 23. The biggest single separator in this matchup is SimpleQA, where the scores are 94% and 21.7%.
GPT-5.1-Codex-Max has the edge for knowledge tasks in this comparison, averaging 95 versus 74.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.1-Codex-Max has the edge for coding in this comparison, averaging 86 versus 41.5. Grok 3 Mini stays close enough that the answer can still flip depending on your workload.
GPT-5.1-Codex-Max has the edge for math in this comparison, averaging 96 versus 39.7. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-5.1-Codex-Max has the edge for reasoning in this comparison, averaging 92.9 versus 21.7. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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