Models / OpenAI
o4 Mini
by OpenAI ·
openai/o4-miniOpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
reasoningtool-usevisionreleased 2025-04-16
Legal score · raw
-
not yet benchmarked
Context
200K
max output 100K
Input
$1.38
per 1M tokens
Output
$5.50
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
$0.34
4.0x cheaper than uncached
Uncached input
$1.38
per 1M tokens
Capabilities
Modalities
in imagetextfile
out text
Request parameters it accepts
include_reasoningmax_tokensreasoningresponse_formatseedstructured_outputstool_choicetools
Benchmark results
This model has not been run through the suite yet. See Humanity's Last Lawsuit for the benchmark models are ranked on.