Workload fit
Kat Coder Pro is categorized for Text-to-text AI models. Its current record accepts text and produces text. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
KAT-Coder-Pro V2 by KwaiKAT is a non-reasoning model optimized for agentic coding. It delivers strong performance on reasoning-style tasks while requiring significantly fewer output tokens than peer models. With the 1210 release, it achieved a score of 64 on the Artificial Analysis Intelligence Index, placing it in the global Top 10 and ranking first among all non-reasoning models.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Kat Coder Pro is listed in Requesty’s public model catalogue under the exact routing identifier novita/kwaipilot/kat-coder-pro. KAT-Coder-Pro V2 by KwaiKAT is a non-reasoning model optimized for agentic coding. It delivers strong performance on reasoning-style tasks while requiring significantly fewer output tokens than peer models. With the 1210 release, it achieved a score of 64 on the Artificial Analysis Intelligence Index, placing it in the global Top 10 and ranking first among all non-reasoning models.
At the time this draft was collected, the catalogue records a context window of 256,000 tokens and a maximum output of 0 tokens. It records no reasoning-support flag, no vision-input flag, tool-calling support, and no image-generation flag. These fields describe the routing catalogue entry and should be rechecked against the current provider documentation before production use.
The source catalogue reports input and output prices when available. Pricing can depend on the route, region, token tier, cache use, account, and date, so this record does not infer a commercial commitment from a single snapshot. Confirm current pricing, data handling, regional controls, rate limits, and availability with the current upstream documentation.
This is a source-backed draft imported from Requesty’s public catalogue. It is not published automatically. An editor must verify the exact model identifier, the material claims, and the chosen deployment path before approving it for public discovery or sitemap inclusion.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Kat Coder Pro is categorized for Text-to-text AI models. Its current record accepts text and produces text. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
The directory records 256K context and — maximum output. Listed token prices are $0.30 input and $1.20 output per 1M tokens. Treat missing values as unknown and recheck current commercial terms.
Recorded output speed is — and time to first token is —. Hosting route, region, prompt length, concurrency, and provider load can materially change both measurements.
This page separates sourced model facts from incomplete fields. Benchmark evidence is displayed only when its source is linked and verified. Before choosing Kat Coder Pro, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
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