Models / Google
Gemini 4 Argon
by Google ·
google/gemini-4-argonGemini 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...
reasoningtool-usevisionreleased 2026-10-13
Legal score · raw
-
not yet benchmarked
Context
1.05M
max output 944K
Input
$2.50
per 1M tokens
Output
$12.50
per 1M tokens
Suite cost
-
no run recorded
Prompt caching
Grounded answers re-send the same retrieved authority every turn, so a cached read is what a long matter actually costs. Prices are per 1M tokens, from the provider’s own catalog.
Cache read
$0.13
20x cheaper than uncached
Cache write
$0.23
per 1M tokens, charged once
Uncached input
$2.50
per 1M tokens
Capabilities
Modalities
in audiofileimagetextvideo
out text
Request parameters it accepts
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Benchmark results
This model has not been run through the suite yet. See Humanity's Last Lawsuit for the benchmark models are ranked on.