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 55. 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 69.7. The single biggest benchmark swing on the page is HumanEval, 77 to 58. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
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 Ministral 3 14B. That is roughly Infinityx on output cost alone. Step 3.5 Flash gives you the larger context window at 256K, compared with 128K for Ministral 3 14B.
Pick Step 3.5 Flash if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Step 3.5 Flash
60.2
Ministral 3 14B
48.4
Step 3.5 Flash
47.1
Ministral 3 14B
33
Step 3.5 Flash
66.7
Ministral 3 14B
70.5
Step 3.5 Flash
78.3
Ministral 3 14B
63.6
Step 3.5 Flash
60.8
Ministral 3 14B
50.1
Step 3.5 Flash
87
Ministral 3 14B
80
Step 3.5 Flash
82.8
Ministral 3 14B
76.8
Step 3.5 Flash
84.5
Ministral 3 14B
69.7
Step 3.5 Flash is ahead overall, 66 to 55. The biggest single separator in this matchup is HumanEval, where the scores are 77 and 58.
Step 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 60.8 versus 50.1. 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 33. 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 69.7. 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 63.6. 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 48.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 66.7. Inside this category, MMMU-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 76.8. Inside this category, MGSM 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.