Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
58
o3-mini
56
Pick GPT-4.1 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+5.3 difference
Knowledge
+10.9 difference
Inst. Following
+6.5 difference
GPT-4.1
o3-mini
$2 / $8
$1.1 / $4.4
108 t/s
160 t/s
1.02s
7.12s
1M
200K
Pick GPT-4.1 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-4.1 has the cleaner provisional overall profile here, landing at 58 versus 56. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4.1's sharpest advantage is in coding, where it averages 54.6 against 49.3. The single biggest benchmark swing on the page is GPQA, 66.3% to 77.2%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. o3-mini is the reasoning model in the pair, while GPT-4.1 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. GPT-4.1 gives you the larger context window at 1M, compared with 200K for o3-mini.
GPT-4.1 is ahead on BenchLM's provisional leaderboard, 58 to 56. The biggest single separator in this matchup is GPQA, where the scores are 66.3% and 77.2%.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 66.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 87.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.