Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Instant is clearly ahead on the aggregate, 85 to 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Instant's sharpest advantage is in coding, where it averages 75.5 against 19.9. The single biggest benchmark swing on the page is AIME 2023, 99 to 34.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Instant
79.6
DeepSeek V3.1 (Reasoning)
44.2
GPT-5.2 Instant
75.5
DeepSeek V3.1 (Reasoning)
19.9
GPT-5.2 Instant
93.1
DeepSeek V3.1 (Reasoning)
41.5
GPT-5.2 Instant
90.9
DeepSeek V3.1 (Reasoning)
45.8
GPT-5.2 Instant
79.8
DeepSeek V3.1 (Reasoning)
32.8
GPT-5.2 Instant
95
DeepSeek V3.1 (Reasoning)
70
GPT-5.2 Instant
94.4
DeepSeek V3.1 (Reasoning)
62.1
GPT-5.2 Instant
97.2
DeepSeek V3.1 (Reasoning)
46.1
GPT-5.2 Instant is ahead overall, 85 to 41. The biggest single separator in this matchup is AIME 2023, where the scores are 99 and 34.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 32.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for coding in this comparison, averaging 75.5 versus 19.9. Inside this category, HumanEval 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 46.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for reasoning in this comparison, averaging 90.9 versus 45.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for agentic tasks in this comparison, averaging 79.6 versus 44.2. Inside this category, Terminal-Bench 2.0 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 41.5. 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 70. 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 62.1. 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.