Choose an LLM by use case
What do you want to do?
Pick a use case to see which models to choose.
Common use cases
Price ($ / 1M tokens)
Ask questions
- Top-ratedHighest rated
- Gemini 4 Argon $4
- On a budgetOn a budget
- Gemini 3.8 Flash $1.5
Write text
- Top-ratedHighest rated
- Claude Opus 5.5 $8
- On a budgetOn a budget
- Gemini 3.7 Flash $1.5
Summarize long documents
- Top-ratedHighest rated
- o3 ChatGPT input $2
- On a budgetOn a budget
- same
Chat or translate in Japanese
- Top-ratedHighest rated
- △Claude Fable 5.1 $20
- On a budgetOn a budget
- Gemini 3.7 Flash $1.5
Write code
- Top-ratedHighest rated
- △Gemini 4 Argon $4
- On a budgetOn a budget
- Muse Spark 1.2 Meta AI $2
Solve math problems
- Top-ratedHighest rated
- △Gemini 4 Argon $4
- On a budgetOn a budget
- GLM-5.3 Flash Z.ai Open weights $0.24
Below are the answers for each use case.
Think
Make
Read
Talk
By field of work
Legal and government
- Highest rated
- △Muse Spark 1.2 Meta AI $2
- On a budget
- Gemini 3.7 Flash $1.5
Medicine and healthcare
- Highest rated
- Gemini 4 Argon $4
- On a budget
- GLM-5.3 Flash Z.ai Open weights $0.24
Business and finance
- Highest rated
- △Gemini 4 Argon $4
- On a budget
- Muse Spark 1.2 Meta AI $2
Software and IT
- Highest rated
- △Gemini 4 Argon $4
- On a budget
- MiMo-V2.6 Pro Open weights $0.54
Quantitative work
- Highest rated
- △Gemini 4 Argon $4
- On a budget
- Gemini 3.8 Flash $1.5
Science
- Highest rated
- △Gemini 4 Argon $4
- On a budget
- Gemini 3.8 Flash $1.5
Entertainment and media
- Highest rated
- Gemini 4 Argon $4
- On a budget
- Gemini 3.7 Flash $1.5
Writing and language work
- Highest rated
- △Claude Opus 5.5 $8
- On a budget
- Gemini 3.7 Flash $1.5
- △ marks a model whose rating is within the margin of error of a cheaper model (about the same).
- Prices are a guide to what developers pay per million tokens through the API, separate from app subscriptions (details under "How to read this page" on each use-case page).
Rankings by benchmark (in detail)
Robot Workshop
Buy robots in the shop, line them up, and let them battle another team on their own until you reach 10 wins.
Data: Arena, Epoch AI, Swallow LLM team (CC BY 4.0), Models.dev (MIT), updated 2026-10-24, data sources