KAT-Coder-Pro V2

No linked weights

KAT-Coder-Pro V2 is a language model from Kuaishou. It has been superseded and no longer holds a position on ModelCap's current board. It reads up to 262K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive

—

Index position pending

Market Gravity

9.6

Secondary market signal

Superseded by KAT-Coder-Pro V2.5. It no longer holds a current-board position.

Input

Unlisted

no listed API price

Output

Unlisted

no listed API price

Context

262K

tokens

Providers

endpoints

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Other versions (1)

KAT-Coder-Pro V2.5No live endpoint3 months ago

ModelCap Index · All-versions archive

Methodology

—

Index position pending

Technical details

Public rank basis: Index position pending (abstained)
Evidence label: Index position pending · no public benchmark evidence
Index support: 0.0% · not applicable
Identity binding: Exact catalogue product · kwaipilot/kwaipilot/kat-coder-pro-v2 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used: 0
Architecture fallback: abstained · 0% coverage · 0 anchors

Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability: —
Evidence status: No admitted measured evidence
General preference: —
Coding: —
Agents & tools: —
Reasoning: —
Evidence breadth: 0%
Evidence coverage: 0%

Market and catalogue signals · secondary, never the language Index rank

Usage (OpenRouter popularity): —
Liquidity (providers × uptime): —
Open reach (HF downloads): —
Surface (context / tools / modalities): 50.3
Freshness: 42.6

· Catalogue: context 262144, tools
· First seen 2026-03-27

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy

Estimator abstained

insufficient-artifact-metadata

Feature coverage: 86%
Training support: 221 models · 129 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index

16.6

insufficient · 19% metadata coverage

Not capability

Artifact reproducibility: 0.0
Access & legal clarity: 30.3
Deployability: 35.0
Evaluation provenance: 0.0

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage

Market Gravity: 9.6
OpenRouter weekly popularity: Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%: 0.0
Liquidity25%: 0.0
Open reach15%: 50.0
Freshness5%: 42.6

Specification

Model ID: kwaipilot/kat-coder-pro-v2
Context window: 262K tokens
Declared output cap: 144K tokens
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Inputs: Text
Outputs: Text
Tokenizer: Other
Cached input tokens: $0.06 / 1M
First seen on OpenRouter: 27 Mar 2026

Capabilities

Not supported: Reasoning
Supported: Tool use
Supported: Structured output
Supported: Response format
Not supported: Moderated

KAT-Coder-Pro V2: common questions

How does KAT-Coder-Pro V2 rank among AI models?

KAT-Coder-Pro V2 is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does KAT-Coder-Pro V2 cost per 1M tokens?

No live API price is listed for KAT-Coder-Pro V2 in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of KAT-Coder-Pro V2?

KAT-Coder-Pro V2 has a published context window of 262K tokens (262,144). The snapshot lists a 144,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is KAT-Coder-Pro V2 open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

When was KAT-Coder-Pro V2 released?

KAT-Coder-Pro V2 first appeared in the catalogue on 27 Mar 2026. It has since been superseded by KAT-Coder-Pro V2.5. Rank and price movements since then are recorded on the site's changes feed.