Models / prism-ml
Ternary Bonsai 2 27B
by prism-ml ·
prism-ml/ternary-bonsai-2-27bBonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
reasoningtool-usevisionreleased 2026-09-18
Legal score · raw
-
not yet benchmarked
Context
262K
max output 33K
Input
$0.09
per 1M tokens
Output
$0.63
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
$0.05
2.0x cheaper than uncached
Uncached input
$0.09
per 1M tokens
Capabilities
Modalities
in textimage
out text
Request parameters it accepts
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_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.