Google: Gemini 4 Argon
google/gemini-4-argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
1,048,576
tokens
Max output
65,536
6.3% of the context window
Model facts
Author
Tokenizer
Gemini
Modality
Text + Image + File + Audio + Video -> Text
Created
Oct 13, 2026
Reasoning
Publication status
Modalities
Generation controls
Capability scores
Better than 96% of models compared
Creative tasks
Category performance
1390 Elo
64.8% win
1371 Elo
62.4% win
1354 Elo
62.1% win
1332 Elo
58.3% win
1329 Elo
57.5% win
1315 Elo
56.2% win