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WMT23

WMT23

AI benchmark results and model performance

Type: percentageHealthcare

Recorded results

13

Average score

73.58%

Score range

71.70% - 75.10%

Leading model

75.10% - Gemini 1.5 Pro 001
Scores over time

Individual benchmark scores plotted by date.

Model results

OrganisationModelsReportedTop scoreInfoSelf reportedSource
Google
Google
Gemini 1.5 Pro 00123 May 202475.10%inferred alias from gemini-1.5-proYesSource
Google
Google
Gemini 1.5 Pro Exp (2024-08-01)01 Aug 202475.10%inferred alias from gemini-1.5-proYesSource
Google
Google
Gemini 1.5 Pro Exp (2024-08-27)27 Aug 202475.10%inferred alias from gemini-1.5-proYesSource
Google
Google
Gemini Robotics ER 1.5 Preview25 Sept 202575.10%inferred family alias from gemini-1.5-pro (score=0.3717; benches=23)YesSource
Google
Google
LearnLM 1.5 Pro Experimental19 Nov 202475.10%inferred family alias from gemini-1.5-pro (score=0.3700; benches=23)YesSource
Google
Google
Gemini 1.5 Flash 00123 May 202474.10%inferred alias from gemini-1.5-flashYesSource
Google
Google
Gemini 1.5 Flash Preview14 May 202474.10%inferred alias from gemini-1.5-flashYesSource
Google
Google
Gemini 1.5 Flash 8B15 Mar 202472.60%-YesSource
Google
Google
Gemini 1.5 Flash 8B Exp (2024-08-27)27 Aug 202472.60%inferred alias from gemini-1.5-flash-8bYesSource
Google
Google
Gemini 1.5 Flash 8B Exp (2024-09-24)24 Sept 202472.60%inferred alias from gemini-1.5-flash-8bYesSource
Google
Google
Gemini 1.0 Nano06 Dec 202371.70%inferred modality/version alias from gemini-1.0-proNoSource
Google
Google
Gemini 1.0 Pro06 Dec 202371.70%-NoSource
Google
Google
Gemini 1.0 Pro Vision 00115 Feb 202471.70%inferred modality/version alias from gemini-1.0-proNoSource
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