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 52. 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 reasoning, where it averages 92.7 against 49.4. The single biggest benchmark swing on the page is LongBench v2, 91 to 49.
GPT-5.3-Codex-Spark is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini. That is roughly 13.3x on output cost alone. GPT-5.3-Codex-Spark is the reasoning model in the pair, while GPT-4o mini 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. GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 128K for GPT-4o mini.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3-Codex-Spark
85.6
GPT-4o mini
50.9
GPT-5.3-Codex-Spark
82.3
GPT-4o mini
65
GPT-5.3-Codex-Spark
88.3
GPT-4o mini
60.2
GPT-5.3-Codex-Spark
92.7
GPT-4o mini
49.4
GPT-5.3-Codex-Spark
78.3
GPT-4o mini
62
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
GPT-4o mini
74.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.3-Codex-Spark is ahead overall, 87 to 52. The biggest single separator in this matchup is LongBench v2, where the scores are 91 and 49.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 62. 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 65. 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 reasoning in this comparison, averaging 92.7 versus 49.4. 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 50.9. 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 60.2. 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 74.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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