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modelname

Parse AI model names into something you can sort.

This is the R port of my Go package modelname. Same rules, same test cases, plain base R with no dependencies.

library(modelname)

m <- parse_model("claude-opus-4-1-20250805")
m[, c("vendor", "family", "version", "date")]
#>      vendor      family version       date
#> 1 anthropic claude-opus     4.1 2025-08-05

It reads API IDs (gpt-4.1-mini, meta-llama/llama-3.3-70b-instruct:free) and display names (Gemini 3.1 Pro Preview) the same way. Old and new Claude names land in the same family, so claude-3-5-sonnet and claude-sonnet-4-5 can be compared.

parse_model(c("gpt-4.1-mini", "meta-llama/llama-3.3-70b-instruct:free",
              "Gemini 3.1 Pro Preview"))[, c("vendor", "family", "version", "size", "tags")]
#>   vendor     family version size           tags
#> 1 openai   gpt-mini     4.1
#> 2   meta      llama     3.3  70b free, instruct
#> 3 google gemini-pro     3.1             preview

Install

install.packages("modelname")

Newest in a family

ids <- c("claude-sonnet-4-5", "claude-3-7-sonnet-20250219", "claude-sonnet-4-6")
latest_model(ids, "claude-sonnet")
#> [1] "claude-sonnet-4-6"

compare_models(a, b) gives you -1, 0 or 1 if you want the ordering, and same_family(a, b) tells you if two names are the same line of models.

What it won’t do

It doesn’t know about every model and it doesn’t call any API. It’s string parsing. If a name is weird enough it’ll put everything in family and leave version empty, which is usually the right call.

Most of the test cases are real names from whizi.io/models. If you find one it gets wrong, open an issue with the name.

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.