Matrix overall
35.9
AVG 87.0 across matrix cells
ActiveModel portfolio
Tap a star to rate
OpenAI · Closed · Context 128K tokens
Cadle Score
134.6
#42 in index
Benchmark average
—
Not enough benchmark results yet
Pricing
$16.50
$66.00 / 1M out · 0.7 pts/$
MODEL MATRIX · TRUTH CENTER CELLS
Overall
35.9
Intelligence
55.6
Coding
—
Reasoning
—
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
—
Math
87.0
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
87.0
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.
Only measured signals
Matrix overall
35.9
AVG 87.0 across matrix cells
Benchmark avg
134.6
1 tracked scores
Strongest signal
epoch-eci
Score 134.6
Blended $/1M
$82.50
In $16.50 · Out $66.00
Value index
0.4
Quality ÷ blended $/1M (higher is better)
Context
128K
Provider context window (not max output)
Intel index
55.6
Matrix AA IQ cell
Measured matrix and verified gateway observations only.
PROVIDER
OpenAI
CONTEXT
128K tokens
STATUS
ACTIVE
Real operator evaluations, prompt robustness observations, and deployment notes for o1-preview.
Tested o1-preview on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Evaluated o1-preview 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 | OpenAI |
| Release | |
| Input / 1M | $16.50 |
| Output / 1M | $66.00 |
| Context | 128K tokens |
| Cadle Cap | 135 |
| Cap board | Cadle Language Cap 135 |
| epoch-eci | 134.6 |
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.