Models / Mistral
Mistral Large 4
by Mistral ·
mistralai/mistral-large-4-0Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...
reasoningtool-usevisionreleased 2026-10-06
Legal score · raw
-
not yet benchmarked
Context
1.05M
max output 262K
Input
$1.70
per 1M tokens
Output
$5.22
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
$0.18
9.7x cheaper than uncached
Uncached input
$1.70
per 1M tokens
Capabilities
Modalities
in textimage
out text
Request parameters it accepts
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_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.