Kuaishou · Released 2025-11-11 · v2025-11-11 · Closed
ACTIVETextCodeReasoning
Language Cap
72
Cadle Language Cap 72 · 59%
Benchmark average
81.1
Not enough benchmark results yet
Pricing
Unlisted
no list price
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
No data yet
Intelligence
18.6
Coding
No data yet
Agentic
88.6
MMLU
81.3
GPQA
76.4
Math
94.7
LiveCodeBench
74.7
HumanEval
No data yet
Reason
68.4
ARC-AGI
No data yet
Coverage AVG
81.1
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.
Measured matrix and verified gateway observations only.
Cap Intelligence
65.8
Cadle Intelligence
18.6
Cap Coding
94.2
DESCRIPTION + DETAILS
PROVIDER
Kuaishou
RELEASE
2025-11-11
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
Tap a star to rate
Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
Verified
Oct 23, 2026
Tested KAT-Coder-Pro V1 on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
A
Autonomous Agent Lead
Verified
Oct 19, 2026
Evaluated KAT-Coder-Pro V1 on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
MODEL COMPARISON
Metric
KAT-Coder-Pro V1
Provider
Kuaishou
Release
2025-11-11
Input / 1M
No data yet
Output / 1M
No data yet
Context
No data yet
Cadle Cap
72
Cap board
Cadle Language Cap 72
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
Supabase models
Cadle public observations
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.