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
27.2
Coding
51.5
Agentic
52.1
MMLU
No data yet
GPQA
89.5
Math
No data yet
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
66.1
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.
We only rank a model once it has enough published benchmark results to compare fairly. Everything below is what we do know: pricing, news and any scores that have been published.
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
AA / Intel index
27.2
Matrix Coding
51.5
DESCRIPTION + DETAILS
PROVIDER
xAI
RELEASE
2026-06-16
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate Grok Build 0.1 0616.
MODEL COMPARISON
Metric
Grok Build 0.1 0616
Provider
xAI
Release
2026-06-16
Input / 1M
No data yet
Output / 1M
No data yet
Context
No data yet
Cadle Cap
71
Cap board
Unranked
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.