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 84. 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 HLE, 42 to 27. GPT-5.1-Codex-Max does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.1-Codex-Max gives you the larger context window at 400K, compared with 256K for GPT-5.3-Codex-Spark.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. GPT-5.1-Codex-Max only becomes the better choice if agentic is the priority or you need the larger 400K context window.
GPT-5.3-Codex-Spark
85.6
GPT-5.1-Codex-Max
86
GPT-5.3-Codex-Spark
82.3
GPT-5.1-Codex-Max
75.5
GPT-5.3-Codex-Spark
88.3
GPT-5.1-Codex-Max
88.2
GPT-5.3-Codex-Spark
92.7
GPT-5.1-Codex-Max
92.1
GPT-5.3-Codex-Spark
78.3
GPT-5.1-Codex-Max
72.6
GPT-5.3-Codex-Spark
92
GPT-5.1-Codex-Max
91
GPT-5.3-Codex-Spark
90.8
GPT-5.1-Codex-Max
87.7
GPT-5.3-Codex-Spark
96.7
GPT-5.1-Codex-Max
94.9
GPT-5.3-Codex-Spark is ahead overall, 87 to 84. The biggest single separator in this matchup is HLE, where the scores are 42 and 27.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 72.6. 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 75.5. 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 94.9. 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 92.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
GPT-5.1-Codex-Max has the edge for agentic tasks in this comparison, averaging 86 versus 85.6. Inside this category, BrowseComp 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 88.2. Inside this category, MMMU-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 91. 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 87.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.