Humanlike AIThe model index

Side by side

Gemini 3.5 vs GPT-6

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

Google logo
Gemini 3.5
Google
OpenAI logo
GPT-6
OpenAI
Cost of talking
Per minute$0.0083Estimate$0.012Estimate
Per hour$0.499$0.698
30-min interview$0.249$0.349
List price$1.25 / $10 per 1MEstimate$1.75 / $14 per 1MEstimate
Recruitment fit
Overall84/10093/100
VerdictThe cheapest credible way to process raw interview recordings without a separate transcription step.The strongest general model for hiring work — but only worth its price on the judgement-heavy steps, not on parsing.
Best for
Interview recording analysisMultilingual pipelinesBulk CV parsing
Structured interview scoring against a rubricComparing a shortlist against a job specDrafting candidate feedback that a human will edit
Watch out for
  • Reasoning trails Opus 5 and GPT-6 on rubric consistency
  • 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  • Pricing is unpublished, so total cost of ownership is unmodellable today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
Modalitiestext, audio, videotext, audio
Context window1,000K400K
VariantsPro, Flash, Flash-LiteMax effort, High, Medium, Low, Mini
On HumanLikeCoworkerNot yet
HumanLike evals
Greek transcription WER (Live sibling)0.03Our eval—
CV field extraction (F1)—0.94Estimate
Time to first token (medium effort)—640 msEstimate
Published benchmarks
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.