Humanlike AIThe model index

Side by side

GPT-3.5 Turbo vs GPT-6

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

OpenAI logo
GPT-3.5 Turbo
OpenAI
OpenAI logo
GPT-6
OpenAI
Cost of talking
Per minute$0.0031$0.012Estimate
Per hour$0.187$0.698
30-min interview$0.094$0.349
List price$0.5 / $1.5 per 1MPublished$1.75 / $14 per 1MEstimate
Recruitment fit
Overall22/10093/100
VerdictDo not screen candidates with this. Its judgement is not good enough to put in front of a hiring decision.The strongest general model for hiring work — but only worth its price on the judgement-heavy steps, not on parsing.
Best for
Nothing candidate-facing
Structured interview scoring against a rubricComparing a shortlist against a job specDrafting candidate feedback that a human will edit
Watch out for
  • 16K context cannot hold a full CV plus a job spec plus a rubric
  • Materially higher error rate on structured extraction
  • Max effort is roughly 24× the cost of Mini — do not point bulk CV parsing at it
  • A frontier model is not a fairness guarantee: you still need audited rubrics and a human on the shortlist
  • Pricing is unpublished, so total cost of ownership is unmodellable today
Capabilities
Modalitiestexttext, audio
Context window16.385K400K
VariantsTurbo (16K), InstructMax effort, High, Medium, Low, Mini
On HumanLikeNot yetNot yet
HumanLike evals
CV field extraction (F1)—0.94Estimate
Time to first token (medium effort)—640 msEstimate
Published benchmarks
MMLU70%Published—
MMLU-Pro—TBDEstimate
SWE-bench Verified—TBDEstimate

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