Explore MoonshotAI: Kimi K2.5
Moonshotai: MoonshotAI: Kimi K2.5
Use Cases
Here are a few ways teams apply MoonshotAI: Kimi K2.5 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Meeting transcription & notes
Multilingual audio translation
Audio understanding
Reliable drafting
Specs
Overview
moonshotai
moonshotai/kimi-k2.5
2026-01-27
Modalities & context
text · image
text
262,144 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: MoonshotAI: Kimi K2.5
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Ready to try MoonshotAI: Kimi K2.5?
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