Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Step 3.5 Flash is clearly ahead on the aggregate, 66 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Step 3.5 Flash's sharpest advantage is in coding, where it averages 47.1 against 17.2. The single biggest benchmark swing on the page is SWE-bench Verified, 48 to 5.
Step 3.5 Flash gives you the larger context window at 256K, compared with 128K for GPT-4 Turbo.
Pick Step 3.5 Flash if you want the stronger benchmark profile. GPT-4 Turbo only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Step 3.5 Flash
60.2
GPT-4 Turbo
44.7
Step 3.5 Flash
47.1
GPT-4 Turbo
17.2
Step 3.5 Flash
66.7
GPT-4 Turbo
55.3
Step 3.5 Flash
78.3
GPT-4 Turbo
61
Step 3.5 Flash
60.8
GPT-4 Turbo
41.1
Step 3.5 Flash
87
GPT-4 Turbo
80
Step 3.5 Flash
82.8
GPT-4 Turbo
68.5
Step 3.5 Flash
84.5
GPT-4 Turbo
64.4
Step 3.5 Flash is ahead overall, 66 to 47. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 48 and 5.
Step 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 60.8 versus 41.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for coding in this comparison, averaging 47.1 versus 17.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for math in this comparison, averaging 84.5 versus 64.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for reasoning in this comparison, averaging 78.3 versus 61. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for agentic tasks in this comparison, averaging 60.2 versus 44.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 66.7 versus 55.3. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for instruction following in this comparison, averaging 87 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for multilingual tasks in this comparison, averaging 82.8 versus 68.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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