Key Specifications
Parameters
-
Context
-
Release Date
August 13, 2024
Average Score
74.0%
Timeline
Key dates in the model's history
Announcement
August 13, 2024
Last Update
July 19, 2025
Today
March 25, 2026
Technical Specifications
Parameters
-
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval
Benchmark Results
Model performance metrics across various tests and benchmarks
General Knowledge
Tests on general knowledge and understanding
MMLU
accuracy • Self-reported
Programming
Programming skills tests
HumanEval
pass@1 Method determination probability correct answer model with first attempts at n attempts. This metric accounts for probability, with which model correct answer at use, at that at us is n answers model on one and that indeed question. for pass@1 on "majority ": correct answer should more "" (probability), than incorrect answer. this can be with help sample with In case two possible answers, pass@1 shows probability that, that model correct answer in on basis correct answers in n • Self-reported
Mathematics
Mathematical problems and computations
MATH
maj@1 AI: on which indicates majority from 1 output. For models, to with help options, sometimes useful use In case maj@1 we simply one output and then, that he This useful how basic method for comparison with other methods • Self-reported
Reasoning
Logical reasoning and analysis
GPQA
accuracy • Self-reported
Multimodal
Working with images and visual data
DocVQA
accuracy • Self-reported
MathVista
accuracy • Self-reported
MMMU
accuracy • Self-reported
Other Tests
Specialized benchmarks
MMLU-Pro
accuracy • Self-reported
License & Metadata
License
proprietary
Announcement Date
August 13, 2024
Last Updated
July 19, 2025
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