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 66. 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 47.3. The single biggest benchmark swing on the page is SWE-bench Pro, 83 to 51.
Pick GPT-5.3 Instant if you want the stronger benchmark profile. DeepSeekMath V2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.3 Instant
82.9
DeepSeekMath V2
63.9
GPT-5.3 Instant
78.7
DeepSeekMath V2
47.3
GPT-5.3 Instant
95
DeepSeekMath V2
68.1
GPT-5.3 Instant
94.2
DeepSeekMath V2
75.9
GPT-5.3 Instant
80.8
DeepSeekMath V2
61
GPT-5.3 Instant
96
DeepSeekMath V2
83
GPT-5.3 Instant
93.4
DeepSeekMath V2
82.5
GPT-5.3 Instant
97.2
DeepSeekMath V2
84
GPT-5.3 Instant is ahead overall, 87 to 66. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 83 and 51.
GPT-5.3 Instant has the edge for knowledge tasks in this comparison, averaging 80.8 versus 61. 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 47.3. Inside this category, SWE-bench Pro 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 84. 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 75.9. Inside this category, MRCRv2 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 63.9. 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 68.1. 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 83. 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 82.5. Inside this category, MMLU-ProX 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.