Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3-Codex-Spark is clearly ahead on the aggregate, 87 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3-Codex-Spark's sharpest advantage is in coding, where it averages 82.3 against 43.1. The single biggest benchmark swing on the page is LiveCodeBench, 80 to 37.
GPT-5.3-Codex-Spark is the reasoning model in the pair, while Grok 4 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-5.3-Codex-Spark gives you the larger context window at 256K, compared with 128K for Grok 4.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. Grok 4 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3-Codex-Spark
85.6
Grok 4
58.1
GPT-5.3-Codex-Spark
82.3
Grok 4
43.1
GPT-5.3-Codex-Spark
88.3
Grok 4
78.2
GPT-5.3-Codex-Spark
92.7
Grok 4
77.4
GPT-5.3-Codex-Spark
78.3
Grok 4
63.8
GPT-5.3-Codex-Spark
92
Grok 4
82
GPT-5.3-Codex-Spark
90.8
Grok 4
80.8
GPT-5.3-Codex-Spark
96.7
Grok 4
85.1
GPT-5.3-Codex-Spark is ahead overall, 87 to 66. The biggest single separator in this matchup is LiveCodeBench, where the scores are 80 and 37.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 63.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for coding in this comparison, averaging 82.3 versus 43.1. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for math in this comparison, averaging 96.7 versus 85.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for reasoning in this comparison, averaging 92.7 versus 77.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for agentic tasks in this comparison, averaging 85.6 versus 58.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 78.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for instruction following in this comparison, averaging 92 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for multilingual tasks in this comparison, averaging 90.8 versus 80.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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