Side by side

GPT-4 vs GPT-3.5 Turbo

Up to 4 models, normalised onto the same cost basis and scored through the lens you pick.

Cost of talking
Per minute$0.062$0.0031
Per hour$3.75$0.187
30-min interview$1.87$0.094
List price$10 / $30 per 1MPublished$0.5 / $1.5 per 1MPublished
Recruitment fit
Overall48/10022/100
VerdictHistoric interest only — cheaper current models beat it on both quality and cost.Do not screen candidates with this. Its judgement is not good enough to put in front of a hiring decision.
Best for
Nothing new. Migrate existing pipelines.
Nothing candidate-facing
Watch out for
  • Costs more than GPT-5.6 while performing worse
  • 16K context cannot hold a full CV plus a job spec plus a rubric
  • Materially higher error rate on structured extraction
Capabilities
Modalitiestexttext
Context window128K16.385K
VariantsBase (8K), Turbo (128K), 32KTurbo (16K), Instruct
On HumanLikeNot yetNot yet
Published benchmarks
MMLU86.4%Published70%Published

Cost per hour assumes 150 wpm and a 40% AI speaking share. Hover a figure for its full derivation.