MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Specs
prism-ml/ternary-bonsai-2-27bHow to use PrismML: Ternary Bonsai 2 27B in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID prism-ml/ternary-bonsai-2-27b:
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Questions about PrismML: Ternary Bonsai 2 27B
What is PrismML: Ternary Bonsai 2 27B?
Bonsai 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...
How big is the context window of PrismML: Ternary Bonsai 2 27B?
PrismML: Ternary Bonsai 2 27B can read up to 262,144 tokens in one request, roughly 196,608 words.
Is PrismML: Ternary Bonsai 2 27B open source?
PrismML: Ternary Bonsai 2 27B has open weights, so you can download and run it yourself, subject to its licence.
What can PrismML: Ternary Bonsai 2 27B take as input?
PrismML: Ternary Bonsai 2 27B accepts text, image and produces text.
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Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 18 Sep 2026.