Text Generation Model

Kimi K2.5

Kimi K2.5 is a text generation model from Moonshot AI with a 262,144-token context window and up to 16,384-token responses.

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Publisher

Moonshot

TypeText

Context Window262,144 tokens

ReleasedJanuary 2026

Input$0.45/MTok

Output$2.80/MTok

Provider

DeepInfra

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About Kimi K2.5

Long-context text generation from Moonshot AI

Kimi K2.5 is a large language model developed by Moonshot AI, released in January 2026 under the full model identifier moonshotai/Kimi-K2.5. It is a chat-oriented text generation model served through DeepInfra and is designed to handle long-form inputs, supporting a context window of 262,144 tokens — one of the larger context sizes available among publicly accessible models. This makes it well-suited for tasks that require processing or generating content across lengthy documents, codebases, or multi-turn conversations.

Kimi K2.5 is built for general-purpose text generation tasks including reasoning, summarization, coding assistance, and extended dialogue. Its maximum response size of 16,384 tokens allows for detailed, long-form outputs in a single generation. The model is accessible on MindStudio without requiring separate API key configuration, making it straightforward to integrate into AI-powered workflows and applications.

Capabilities

What Kimi K2.5 supports

Long Context Window

Processes inputs up to 262,144 tokens, enabling analysis of lengthy documents, large codebases, or extended conversation histories in a single pass.

Extended Response Output

Generates responses up to 16,384 tokens per completion, supporting detailed long-form answers, reports, or code outputs.

Code Generation

Produces and explains code across common programming languages, useful for tasks like writing functions, debugging, or reviewing snippets.

Multi-Turn Dialogue

Supports extended chat-style conversations through its chat model architecture, maintaining coherence across long interaction histories.

Text Summarization

Condenses long documents or threads into concise summaries, leveraging its large context window to ingest full-length source material.

Reasoning Tasks

Handles multi-step reasoning problems including logical inference, question answering, and structured analysis.

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Performance

Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

Benchmark	What it tests	Score
GPQA Diamond	PhD-level science questions (biology, physics, chemistry)	87.9%
HLE	Questions that challenge frontier models across many domains	29.4%
SciCode	Scientific research coding and numerical methods	49.0%
AIME 2025	American math olympiad problems (2025)	96.1%
MMLU-Pro	Expert knowledge across 14 academic disciplines	87.1%
SWE-bench Verified	Real GitHub issues requiring multi-file code fixes	76.8%
SWE-bench Pro	Challenging real-world software engineering tasks	50.7%
Terminal-Bench 2.0	Agentic coding and terminal command tasks	50.8%
LiveCodeBench	Real-world coding tasks from recent competitions	85.0%
BrowseComp	Complex web browsing and information retrieval	60.6%
OSWorld-Verified	Autonomous computer use and desktop tasks	63.3%

FAQ

Common questions about Kimi K2.5

What is the context window size for Kimi K2.5?

Kimi K2.5 supports a context window of 262,144 tokens, allowing it to process very long documents or extended conversations in a single request.

What is the maximum response length Kimi K2.5 can generate?

The model can generate up to 16,384 tokens per response, which is sufficient for detailed long-form outputs such as reports, essays, or large code files.

Who developed Kimi K2.5 and when was it released?

Kimi K2.5 was developed by Moonshot AI and released in January 2026. It is available under the model identifier moonshotai/Kimi-K2.5.

Does Kimi K2.5 support image or video inputs?

Based on available metadata, Kimi K2.5 is a text-only model. Image and video analysis support is not indicated for this version.

What is the pricing for using Kimi K2.5 on MindStudio?

Pricing information for Kimi K2.5 is not published in the current metadata. You can check MindStudio's pricing page or your account dashboard for the latest usage costs.

What is the knowledge cutoff date for Kimi K2.5?

A specific knowledge cutoff date is not listed in the available metadata for Kimi K2.5. Given its January 2026 release date, its training data likely extends into late 2025, but this has not been officially confirmed in the provided information.

Community Discussion

What people think about Kimi K2.5

Community discussions reflect positive sentiment toward Kimi K2.5's benchmark performance, with one thread noting that it scores in territory previously occupied only by proprietary models as of February 2026. Practical evaluations, including an informal multi-model comparison involving real-world business scenarios, placed it among a small group of models that performed reliably.

Some community interest centers on how models like Kimi K2.5 handle ambiguous or nonsensical prompts, as a dedicated benchmark thread explored whether models push back appropriately rather than generating confident but incorrect answers. No major reliability or safety concerns specific to Kimi K2.5 were surfaced in the threads reviewed.

r/singularity49 pts12 comments

Open-source LLMs are now within single digits of proprietary models on most benchmarks. February 2026 rankings show GLM-5, Kimi K2.5, and DeepSeek V3.2 all scoring in what was frontier-only territory a year ago.

r/LocalLLaMA832 pts241 comments

I gave 12 LLMs $2,000 and a food truck. Only 4 survived.

r/singularity790 pts168 comments

Bullshit Benchmark - A benchmark for testing whether models identify and push back on nonsensical prompts instead of confidently answering them

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