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 43. 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 mathematics, where it averages 84.5 against 51.3. The single biggest benchmark swing on the page is MuSR, 82 to 42.
Step 3.5 Flash is also the more expensive model on tokens at $0.10 input / $0.30 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone. Llama 4 Maverick gives you the larger context window at 1M, compared with 256K for Step 3.5 Flash.
Pick Step 3.5 Flash if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Step 3.5 Flash
60.2
Llama 4 Maverick
40.9
Step 3.5 Flash
47.1
Llama 4 Maverick
15.7
Step 3.5 Flash
66.7
Llama 4 Maverick
56.8
Step 3.5 Flash
78.3
Llama 4 Maverick
54
Step 3.5 Flash
60.8
Llama 4 Maverick
36.5
Step 3.5 Flash
87
Llama 4 Maverick
68
Step 3.5 Flash
82.8
Llama 4 Maverick
59.8
Step 3.5 Flash
84.5
Llama 4 Maverick
51.3
Step 3.5 Flash is ahead overall, 66 to 43. The biggest single separator in this matchup is MuSR, where the scores are 82 and 42.
Step 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 60.8 versus 36.5. Inside this category, MMLU 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 15.7. Inside this category, HumanEval 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 51.3. 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 54. 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 40.9. 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 56.8. 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 68. 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 59.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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