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 66. 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 multimodal & grounded, where it averages 93.1 against 58.6. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 50.
GPT-5.2 Instant is also the more expensive model on tokens at $1.50 input / $6.00 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0. That is roughly 5.5x on output cost alone. GPT-5.2 Instant is the reasoning model in the pair, while DeepSeek Coder 2.0 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.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. DeepSeek Coder 2.0 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-5.2 Instant
79.6
DeepSeek Coder 2.0
67.5
GPT-5.2 Instant
75.5
DeepSeek Coder 2.0
52.8
GPT-5.2 Instant
93.1
DeepSeek Coder 2.0
58.6
GPT-5.2 Instant
90.9
DeepSeek Coder 2.0
75.5
GPT-5.2 Instant
79.8
DeepSeek Coder 2.0
59.6
GPT-5.2 Instant
95
DeepSeek Coder 2.0
86
GPT-5.2 Instant
94.4
DeepSeek Coder 2.0
79.8
GPT-5.2 Instant
97.2
DeepSeek Coder 2.0
80.5
GPT-5.2 Instant is ahead overall, 85 to 66. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 50.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 59.6. Inside this category, HLE 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 52.8. Inside this category, LiveCodeBench 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 80.5. 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 75.5. 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 67.5. Inside this category, BrowseComp 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 58.6. 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 86. 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 79.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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