Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3 Instant has the cleaner overall profile here, landing at 87 versus 84. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.3 Instant's sharpest advantage is in agentic, where it averages 82.9 against 76.9. The single biggest benchmark swing on the page is SWE-bench Pro, 83 to 73.
Grok 4.1 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.3 Instant. GPT-5.3 Instant is the reasoning model in the pair, while Grok 4.1 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. Grok 4.1 gives you the larger context window at 1M, compared with 128K for GPT-5.3 Instant.
Pick GPT-5.3 Instant if you want the stronger benchmark profile. Grok 4.1 only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3 Instant
82.9
Grok 4.1
76.9
GPT-5.3 Instant
78.7
Grok 4.1
73.4
GPT-5.3 Instant
95
Grok 4.1
93.2
GPT-5.3 Instant
94.2
Grok 4.1
91.9
GPT-5.3 Instant
80.8
Grok 4.1
79.5
GPT-5.3 Instant
96
Grok 4.1
93
GPT-5.3 Instant
93.4
Grok 4.1
92.8
GPT-5.3 Instant
97.2
Grok 4.1
96.8
GPT-5.3 Instant is ahead overall, 87 to 84. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 83 and 73.
GPT-5.3 Instant has the edge for knowledge tasks in this comparison, averaging 80.8 versus 79.5. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for coding in this comparison, averaging 78.7 versus 73.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for math in this comparison, averaging 97.2 versus 96.8. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for reasoning in this comparison, averaging 94.2 versus 91.9. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for agentic tasks in this comparison, averaging 82.9 versus 76.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 93.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for instruction following in this comparison, averaging 96 versus 93. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multilingual tasks in this comparison, averaging 93.4 versus 92.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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