KAT Coder Pro V2.5
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Kwaipilot | 262,144 token context | $0.74/M input, $2.96/M output. KAT-Coder-Pro V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...
Guides for this model
How to choose an AI model in October 2026: the closed source news, then the open weights worth downloading
Open weights vs open source vs API-only: what you are actually allowed to do
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Captain's notes
Notes from 2026-10-13
KAT-Coder-Pro V2.5 is a flagship agentic coding model from Kwaipilot, built to take ownership of entire issues or business workflows rather than just answer questions. Its 262,144-token context window means it can hold a large codebase in view at once. It suits engineering teams and developers who want a model they can hand a task to and walk away from.
Known for
- Autonomous, end-to-end handling of full issues and multi-step workflows
- 262,144-token context — enough for large codebases in a single pass
- Agentic design: locates problems and makes changes without hand-holding
- Flagship-tier coding capability from Kwaipilot
Watch out for
- Closed weights, API-only — no local deployment option.
- Output tokens cost $2.96/M; long agentic runs can generate a lot of output and bills add up fast.
- Kwaipilot has not published detailed benchmark or licence information.
Prompts to try
Hand off a real bug
Here is the full contents of my Python repository. There is a race condition in the job queue that causes duplicate task execution under high concurrency. Locate the root cause, explain it, then produce the corrected files with minimal diff. Do not ask clarifying questions — make a decision and show your work.
Refactor a whole module
Below is a Node.js authentication module written two years ago. It uses callbacks throughout and has no error boundary. Refactor it to async/await, add proper error handling, and update the unit tests to match. Return the complete updated files.
Automate a business workflow
I need a Python script that polls an S3 bucket every five minutes for new CSV uploads, validates each row against a schema I will paste below, writes failures to a separate error log, and pushes clean rows to a Postgres table. Build the full solution end to end.
Compare with
- DeepSeek V4.1 FlashOpen-weights model1,048,576 token context · $0.04/M input, $0.68/M output
- GLM 5.3 FlashOpen-weights model1,048,576 token context · $0.02/M input, $0.72/M output
- Hy4 previewOpen-weights model1,048,576 token context · $0.83/M input, $2.50/M output
- MiMo-V2.6-FlashOpen-weights model1,050,000 token context · $0.14/M input, $0.28/M output
More text models from kwaipilot
Questions people ask
- Can I run KAT-Coder-Pro V2.5 locally?
- No — it is a closed-weights, API-only model from Kwaipilot, so there is no download and no local deployment.
- What does KAT-Coder-Pro V2.5 cost and how large is its context?
- Pricing is $0.74 per million input tokens and $2.96 per million output tokens, with a 262,144-token context window.
- What makes this different from a standard coding assistant?
- It is designed for agentic use — you hand it an entire issue or workflow and it autonomously locates and addresses the problem, rather than responding to one question at a time.
Captain's verdictIf you want to delegate a whole ticket rather than have a conversation, this is built for exactly that — just watch the output-token bill on long runs.
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
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How this score adds up
This model has no popularity data from any source yet, so it carries a stand-in number below 7,000° that keeps the lists complete. It never ranks above a model with data. The breakdown appears here as soon as a source reports it.
Glossary: the terms used here
- Heat score
- One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
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- Download-equivalents
- Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
- Log scale
- Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
- Likes
- Thumbs up and likes from every source, worth half a download each on the log scale.
- Adoption rate
- How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
- Measured and estimated
- Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
- Seeder
- Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
- AI Horde
- A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
- Generation sites
- Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
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- A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
- Full model (checkpoint)
- The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
- LoRA and embedding
- Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
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- Age
- Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
- Family boost
- A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
- Stand-in score
- A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
- New! (grace period)
- A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
- Trend
- How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
- Typical model
- The middle of the catalog: half the models with a figure grew faster over the period, half slower.
KAT Coder Pro V2.5 is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.
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