Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3 Instant is clearly ahead on the aggregate, 87 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Instant's sharpest advantage is in coding, where it averages 78.7 against 17.2. The single biggest benchmark swing on the page is SWE-bench Verified, 76 to 5.
GPT-5.3 Instant is the reasoning model in the pair, while GPT-4 Turbo 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.
Pick GPT-5.3 Instant if you want the stronger benchmark profile. GPT-4 Turbo only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3 Instant
82.9
GPT-4 Turbo
44.7
GPT-5.3 Instant
78.7
GPT-4 Turbo
17.2
GPT-5.3 Instant
95
GPT-4 Turbo
55.3
GPT-5.3 Instant
94.2
GPT-4 Turbo
61
GPT-5.3 Instant
80.8
GPT-4 Turbo
41.1
GPT-5.3 Instant
96
GPT-4 Turbo
80
GPT-5.3 Instant
93.4
GPT-4 Turbo
68.5
GPT-5.3 Instant
97.2
GPT-4 Turbo
64.4
GPT-5.3 Instant is ahead overall, 87 to 47. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76 and 5.
GPT-5.3 Instant has the edge for knowledge tasks in this comparison, averaging 80.8 versus 41.1. 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 17.2. Inside this category, SWE-bench Verified 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 64.4. Inside this category, AIME 2023 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 61. Inside this category, SimpleQA 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 44.7. 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 55.3. Inside this category, MMMU-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 80. 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 68.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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