Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3-Codex-Spark has the cleaner overall profile here, landing at 87 versus 85. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.3-Codex-Spark's sharpest advantage is in coding, where it averages 82.3 against 75.5. The single biggest benchmark swing on the page is OSWorld-Verified, 83 to 74. GPT-5.2 Instant does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.3-Codex-Spark is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.50 input / $6.00 output per 1M tokens for GPT-5.2 Instant. GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. GPT-5.2 Instant only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.3-Codex-Spark
85.6
GPT-5.2 Instant
79.6
GPT-5.3-Codex-Spark
82.3
GPT-5.2 Instant
75.5
GPT-5.3-Codex-Spark
88.3
GPT-5.2 Instant
93.1
GPT-5.3-Codex-Spark
92.7
GPT-5.2 Instant
90.9
GPT-5.3-Codex-Spark
78.3
GPT-5.2 Instant
79.8
GPT-5.3-Codex-Spark
92
GPT-5.2 Instant
95
GPT-5.3-Codex-Spark
90.8
GPT-5.2 Instant
94.4
GPT-5.3-Codex-Spark
96.7
GPT-5.2 Instant
97.2
GPT-5.3-Codex-Spark is ahead overall, 87 to 85. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 83 and 74.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 78.3. Inside this category, FrontierScience 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 75.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for math in this comparison, averaging 97.2 versus 96.7. Inside this category, AIME 2023 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 90.9. 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 79.6. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 88.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for instruction following in this comparison, averaging 95 versus 92. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 90.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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