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 45. 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 23. The single biggest benchmark swing on the page is SWE-bench Pro, 85 to 23.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-5.3-Codex-Spark. That is roughly 75.0x on output cost alone. GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 200K for o1-pro.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.3-Codex-Spark
85.6
o1-pro
39.7
GPT-5.3-Codex-Spark
82.3
o1-pro
23
GPT-5.3-Codex-Spark
88.3
o1-pro
48.5
GPT-5.3-Codex-Spark
92.7
o1-pro
56.2
GPT-5.3-Codex-Spark
78.3
o1-pro
69.9
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.3-Codex-Spark
90.8
o1-pro
52
GPT-5.3-Codex-Spark
96.7
o1-pro
86
GPT-5.3-Codex-Spark is ahead overall, 87 to 45. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 85 and 23.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 69.9. 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 23. Inside this category, SWE-bench Pro 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 86. Inside this category, AIME 2024 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 56.2. Inside this category, LongBench v2 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 39.7. Inside this category, OSWorld-Verified 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 48.5. Inside this category, OfficeQA Pro 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 52. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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