INTELLIGENCE
14.9
Media Cap quality axis
Model portfolio
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Google · Released 2024-09-24 · v2024-09-24 · Closed
Language Cap
53
Cadle Language Cap 53 · 99%
Vision Cap
83
#101/268
Benchmark average
No data yet
Not enough benchmark results yet
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
27.6
Intelligence
42.2
Coding
47.0
Agentic
No data yet
MMLU
No data yet
GPQA
No data yet
Math
87.6
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
66.8
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.
Only measured signals
INTELLIGENCE
14.9
Media Cap quality axis
CODING
23.6
Media Cap quality axis
MATH
87.6
Media Cap quality axis
KNOWLEDGE
61.0
Media Cap quality axis
MATRIX OVERALL
27.6
AVG 66.8 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 14.9
BLENDED $/1M
$6.25
In $1.25 · Out $5.00
VALUE INDEX
4.4
Quality ÷ blended $/1M (higher is better)
Measured matrix and verified gateway observations only.
PROVIDER
RELEASE
2024-09-24
STATUS
ACTIVE
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
2 notes indexed
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Stored locally · synced to your profile
Inference Operator
VerifiedOct 23, 2026
Tested Gemini 1.5 Pro on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent Lead
VerifiedOct 19, 2026
Evaluated Gemini 1.5 Pro on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
| Metric | |
|---|---|
| Provider | |
| Release | 2024-09-24 |
| Input / 1M | $1.25 |
| Output / 1M | $5.00 |
| Context | No data yet |
| Cadle Cap | 53 |
| Cap board | Cadle Language Cap 53 |
Scores may use different scales — check the Benchmarks tab for source links.
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.