Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
27
Grok 4.3
79
Pick Grok 4.3 if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
Knowledge
+3.6 difference
Inst. Following
+1.9 difference
GPT-4.1 nano
Grok 4.3
$0.1 / $0.4
$1.25 / $2.5
181 t/s
209 t/s
0.63s
12.36s
1M
1M
Pick Grok 4.3 if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
Grok 4.3 is clearly ahead on the provisional aggregate, 79 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.3's sharpest advantage is in knowledge, where it averages 53.9 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 90.1%. GPT-4.1 nano does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Grok 4.3 is also the more expensive model on tokens at $1.25 input / $2.50 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 6.3x on output cost alone. Grok 4.3 is the reasoning model in the pair, while GPT-4.1 nano 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.
Grok 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 27. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 90.1%.
Grok 4.3 has the edge for knowledge tasks in this comparison, averaging 53.9 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 81.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
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